New collaboration between Plumery and Payment Components
will enable financial institutions to adopt instant payments without overhauling existing core banking infrastructure
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Plumery, a digital banking experience platform for customer-centric banking, has announced a new partnership with Payment Components, a leader in payments and open banking solutions. By decoupling digital experience and payments processes from legacy systems, institutions can now innovate more flexibly and efficiently. They can streamline operations while maintaining their existing core banking frameworks.
Progress for Payments
By leveraging Plumery’s innovative approach and Payment Components’ expertise, this partnership allows clients to accelerate time-to-market and future-proof operations against regulatory shifts such as the Instant Payments Regulation (IPR). Financial institutions can offload the burden of implementing new digital channels and instruments, such as real-time payments, without altering their core systems.
The IPR aims to make instant payments fully accessible to consumers and businesses across the EU. Currently only a minority of service providers support instant payments. While such regulatory changes usually impact core banking infrastructure, the Plumery and Payment Components partnership ensures these systems remain unaffected.
“This partnership is crucial for institutions needing to rapidly modernise without overhauling their entire infrastructure. Together, we offer a powerful, flexible solution that enables our clients to embrace innovation while staying ahead of regulatory changes like the IPR. Adding Payments Components to our partner ecosystem solidifies our commitment to creating cutting edge solutions that embrace digitisation.”
Ben Goldin, Founder and CEO of Plumery
This global partnership offers a streamlined path to modernisation, enabling financial institutions to stay compliant, competitive and responsive to ongoing market shifts with solutions ready to support firms as they navigate the evolving financial landscape.
“Our collaboration with Plumery will empower financial institutions to seamlessly adopt modern payment technologies, addressing the complexities of regulatory changes, all while minimising disruptions to existing systems. We wanted to work with Plumery because both our company’s share a similar approach, work ethic and most importantly because of the compatibility of our products.”
Sotirios Nossis, Founder and CEO of Payment Components
Plumery
Headquartered in the Netherlands, Plumery’s mission is to empower financial institutions worldwide, regardless of size, to craft distinctive, contemporary, and customer-centric mobile and web experiences.
Plumery operates with a diverse team that embodies a unique combination of seasoned expertise and vibrant innovation. This blend has been cultivated through years of experience at start-ups, scale-ups, and established financial institutions, and most notably at globally leading financial technology companies, where they were instrumental in creating disruptive digital banking solutions and platforms that now serve 300+ banks globally.
Plumery’s Digital Success Fabric platform provides banks with the foundation for success beyond fast-time-to-market by expediting the development of their digital front ends while significantly cutting costs compared to in-house initiatives or solutions with high total cost of ownership (TCO).
Payment Components
At Payment Components, we’re reshaping the fintech landscape on a global scale. Today, our solutions are essential for more than 65 banks and financial institutions across 25 countries. We provide componentized solutions in a range of domains, including AI banking, open banking, account-to-account payments, and financial messaging technology. We achieve this through continuous innovation, building software components that help financial institutions become digital champions and deliver richer payment services to their clients. Our name reflects our belief: complicated processes in the financial industry will be replaced by AI-assisted dedicated components. We stand for simplicity, speed, and constant innovation
UnaFinancial study identifies cybersecurity as most influential factor driving FinTech growth
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A recent study from UnaFinancial has identified cybersecurity as the most influential factor driving the development of FinTech worldwide, with a 63% significance. The second most impactful factor is the average hourly wage rate, with a 13% significance.
The study showed that FinTech growth in Europe, America, and globally has the strongest correlation with the size of the cybersecurity market, with correlation coefficients of 0.8714, 0.9762, and 0.8607, respectively.
In Asia, however, FinTech growth was more closely tied to the size of the consumer electronics market (0.9403). Meanwhile in Africa, it correlated with consumer spending volumes (0.7427). Therefore, globally, cybersecurity emerges as the most significant driver of FinTech growth. More vital protection facilitates a more robust FinTech environment.
Economic Disparities with Cybersecurity: High Income vs Low Income Economies
Economic status also plays a crucial role in shaping FinTech dynamics. High-income countries display pronounced correlations with various factors. Notably, the size of the cybersecurity market (0.6923), consumer electronics market (0.5839), average wage rates (0.6237), and consumer spending volumes (0.6971) are all significantly linked to FinTech growth.
Conversely, low-income economies exhibit no substantial correlations with these factors, highlighting a disparity in FinTech development influenced by financial resources and technological infrastructure.
Middle-income countries show a more nuanced relationship, with FinTech volumes correlating with nominal GDP (0.5373), the cybersecurity market (0.5727), consumer electronics (0.5637), fintech hubs (0.5409), and consumer spending volumes (0.6136). This suggests that while multiple factors impact middle-income countries, cybersecurity remains a vital component.
Quantifiable Cybersecurity Impact on FinTech
Furthermore, another interesting finding was the measurable impact of various factors on FinTech transactions. For example, for every $1 million increase in the global cybersecurity market, FinTech transactions per adult are expected to rise by $31.6. Similarly, a $1 increase in the average hourly wage could boost FinTech transactions by $67.5. The establishment of just one more FinTech hub could increase global FinTech transactions per capita by $839.
Remarkably, as a country’s income grows, the correlation between FinTech growth and two factors—cybersecurity market size and average wage rates—becomes stronger. This means these factors may indeed influence the development of FinTech across a country.
A deeper non-linear analysis further validated the significance of these factors. It revealed that the cybersecurity market is the most influential driver of FinTech growth, with 63% of significance, followed by the average wage rate (13%). As we advance into an increasingly digital future, the investment in and enhancement of cybersecurity will remain a cornerstone of FinTech innovation and expansion.
UnaFinancial Study
The UnaFinancial study considered data from 2022 for 146 countries, which were grouped into four regions: Asia, Europe, Africa and America. The potential factors under consideration included gender ratio, nominal GDP per capita, Internet penetration, cybersecurity market volumes per capita, consumer electronics market volumes, number of FinTech hubs per 100,000 people, average hourly wages, consumer spending per capita, direct investment as a share of GDP, unemployment rates, trade volume relative to GDP, and share of urban population.
The study not only illuminates the integral role of cybersecurity but also provides a roadmap for understanding how various factors interplay to influence the global FinTech landscape. In this digital age, safeguarding financial transactions and technologies is as critical as ever. Moreover, ensuring that FinTech continues to flourish amidst evolving challenges and opportunities.
Money20/20, operates the world’s leading fintech events in Europe, Asia and USA and is “the place where money does business”….
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Money20/20, operates the world’s leading fintech events in Europe, Asia and USA and is “the place where money does business”. Money20/20 USA has unveiled seven startups poised to transform the financial sector. The selected startups are Brightwave, Casap, Eisen, Footprint, NALA, Ntropy, and Zumma. They were revealed during the Startup Media Session on October 29th in Las Vegas. The Startup Media Session was designed as part of the event’s goal to support startups at the intersection of finance and business.
“Money20/20 USA is focused on what drives the conversations most relevant to the FinTech industry. From economic and regulatory uncertainty to the future of payments and the impact AI will have on money moving forward. We are proud to highlight the work these startups are doing to move this industry forward.”
Scarlett Sieber, Chief Strategy and Growth Officer at Money20/20
Brightwave
Brightwave is the leading AI platform for financial services. It delivers accurate and insightful financial research enabling finance professionals to make better decisions faster. Its purpose-built AI systems synthesize insights across thousands of pages of primary sources. It can automate the most tedious parts of investing workflows and help users spot opportunities others have missed.
“Being named one of the Top 7 Startups at Money20/20 is a strong acknowledgment of the strides we’ve made in transforming how investment research is done. We’re also excited to announce our $15 million Series A funding at the world’s premier show for financial innovation. At Brightwave, we’re tackling one of the hardest problems in finance. We’re making sense of vast amounts of data to uncover deeper insights and relationships that others miss,” said Mike Conover, Founder and CEO at Brightwave.
Casap
Casap is an AI-powered disputes automation and fraud prevention platform. With built-in regulatory expertise and network integrations, Casap’s intelligent automation identifies fraudulent claims early. It delivers fast, frictionless dispute and chargeback resolution at a fraction of today’s cost.
“Money20/20 was the first conference I attended after starting Casap last year and it played a pivotal role in validating our vision. The connections, conversations, and insights I gained were invaluable. Exactly a year later, we’re back and launching out of stealth with live customers. We’re addressing some of the most pressing challenges in scaling payments. We’re starting with automating chargebacks and combating first-party fraud. We’re deeply grateful to Money20/20 for this opportunity to reach so many in the industry and help drive meaningful change in how payments are operated at scale,” said Saisi Peter, Co-founder of Casap.
Eisen
Eisen is the first escheatment automation solution that proactively manages the offboarding of dormant accounts, stale checks, wind-downs, and more. Financial institutions rely on Eisen to simplify the complex landscape of regulatory outreach, disbursement, and escheatment requirements. It ensures compliance while reducing operational risk.
“Money20/20 has been a cornerstone for Eisen since 2021, where the very idea for our company first sparked in the halls of the Venetian. It all started with conversations about the hardest challenges in FinTech. Each year, it’s helped us refine our vision and better serve our customers. For us, Money20/20 isn’t just about growth — it’s where Eisen began,” said Allen Osgood, CEO of Eisen.
Footprint
Footprint is a Series A identity company that has raised $20M from funds such as QED and Index Ventures. The company provides a single SDK that automates onboarding – KYC/KYB, fraud, security, and authentication – into an easy-to-integrate solution. Footprint works with leading companies across the Banking, Auto, and Real Estate sectors. Its technology portabalises identity, creating a centralised database of de-duplicated authentic identities.
“Money20/20 is at the vanguard of innovation. We’ve tried to be different at Footprint. Whether that be through our recent fraud indemnification program or our approach to labeling good actors. Some may think these are crazy ideas. But it is great to see Money20/20 continue to be where crazy can get a spotlight. That is how I would like to think true innovation happens,” said Eli Wachs, Co-founder and CEO of Footprint.
NALA
NALA is a global cross-border payments fintech company based in the US doing cross-border payments to emerging markets like Africa and Asia. It has two products, a consumer FinTech product enabling migrants to send money home and an infrastructure business called Rafiki, building payment rails for Africa. NALA recently became profitable and raised a $40m series A after achieving 10x revenue growth in 12 months.
“At NALA, we are on a mission to build payments for the next billion. Emerging markets are often overlooked but shouldn’t be underestimated as these regions have seen the fastest economic growth in the world. We have big ambitions for what we would like to achieve and have exciting plans in the pipeline in the coming years,“ said Benjamin Fernandes, Founder and CEO of NALA.
Ntropy
Ntropy is on a mission to organise the world’s financial data. 80% of the world’s financial data is unstructured and locked in transactions, documents, PDFs, and images. This means it is under-leveraged and cannot be used by models at scale. Ntropy was founded to solve this problem for any type of financial data, in any language, any geography, powering humans and more recently agents and agentic workflows in finance.
“Ntropy is processing hundreds of millions of transactions and documents weekly with over 98% accuracy, in under 100ms, 1000x faster, and cheaper than any other provider on the market. You can access Ntropy via our API-s directly, and more recently via NVIDIA NIM-s. This collaboration enables flexibility in deployment and allows our customers to scale immediately. This year’s Money20/20 has been about demonstrating the real value of GenAI and we have been very fortunate to have this exposure together with our partners at NVIDIA, Oracle, and AWS, who are accelerating Ntropy’s mission,” said Naré Vardanyan, Co-founder and CEO of Ntropy.
Zumma
Zumma is a financial copilot that automates and simplifies financial processes for Latin American businesses by leveraging existing tools they already use such as WhatsApp to save them time and money. The company is starting with automating expense management and expense invoicing processes, saving their customers more than $4,000 per employee per year in tax deductions.
“Being part of Money20/20’s Startup Media Session helps us spread the word about our product to the fintech community. The Money20/20 team has been key in our growth by connecting us to key players in the industry,” said Daniela Lascurain, COO and Co-founder of Zumma.
Launched by industry insiders in 2012, Money20/20 is the heartbeat of the global fintech ecosystem. Moreover, some of the most innovative, fast-moving ideas and companies have found their feet (and funding) on its show floor. From J.P. Morgan, Stripe, and Airwallex to HSBC, Deutsche Bank, and Checkout.com, Money20/20 is the place where money does business.
Scott Zoldi, Chief Analytics Officer at FICO considers whether the current AI bubble is set to burst, the potential repercussions of such an event, and how businesses can prepare
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Since artificial intelligence emerged more than fifty years ago, it has experienced cycles of peaks and troughs. Periods of hype, quickly followed by unmet expectations that lead to bleak periods of AI-winter as users and investment pull back. We are currently in the biggest period of hype yet. Does that mean we are setting ourselves up for the biggest, most catastrophic fall to date?
AI drawback
There is a significant chance of such a drawback occurring in the near future. So, the growing number of businesses relying on AI must take steps to prepare and mitigate the impact a drawback or complete collapse could have. Research from Lloyds recently found adoption has doubled in the last year, with 63% of firms now investing in AI, compared to 32% in 2023. In addition, the same study found 81% of financial institutions now view it as a business opportunity, up from 56% in 2023.
This hype has led organisations to explore AI use for the first time. Often with little understanding of the algorithms’ core limitations. According to Gartner, in 2023 less than 10% of organisations were capable of operationalising AI to enable meaningful execution. This could be leading to the ‘unmet expectations’ stage of the damaging hype/drawback cycle. The all-encompassing FOMO of repeating the narrative of the incredible value of AI does not align with organisations’ ability to scale, manage huge risks, or derive real sustained business value.
Regulatory pressures for AI
There has been a lack of trust in AI by consumers and businsses alike. It has resulted in new AI regulations specifying strong responsibility and transparency requirements for applications. The vast majority of organisations are unable to meet these in traditional AI, let alone newer GenAI applications. Large language models (LLMs) were prematurely released to the public. The resulting succession of fails fuelled substantial pressure on companies to pull back from using such solutions other than for internal applications. It has been reported that 60% of banking businesses are actively limiting AI usage. This shows that the drawback has already begun. Organisations that have gone all-in on GenAI – especially those early adopters – will be the ones to pull back the most, and the fastest.
In financial services, where AI use has matured over decades, analytic technologies exist today that can withstand regulatory scrutiny. Forward-looking companies are ensuring they are prepared. They are moving to interpretable AI and backup traditional analytics on hand while they explore newer technologies with appropriate caution. This is in line with proper business accountability, vs the ‘build fast, break it’, mentality of the hype spinners.
Customer trust with AI
Customer trust has been violated by repeated failures in AI, and a lack of businesses taking customer safety seriously. A pull-back will assuage inherent mistrust in companies’ use of artificial intelligence in customer facing applications and repeated harmful outcomes.
Businesses who want their AI usage to survive the impending winter need to establish corporate standards for building safe, transparent, trustworthy Responsible AI models that focus on the tenets of robust, interpretable, ethical and auditable AI. Concurrently, these practices will demonstrate that regulations are being adhered to – and that their customers can trust AI. Organisations will move from the constant broadcast of a dizzying array of possible applications, to a few well-structured, accountable and meaningful applications that provide value to consumers, built responsibly. Regulation will be the catalyst.
Preparing for the worst
Too many organisations are driving AI strategy through business owners or software engineers who often have limited to no knowledge of the specifics of algorithm mathematics and the very signifiicant risk in using the technology.
Stringing together AI is easy. Building AI that is responsible and safe is a much harder and exhausting exercise requiring model development and deployment corporate standards. Businesses need to start now to define standards for adopting the right types of AI for appropriate business applications, meet regulatory compliances, and achieve optimal consumer outcomes.
Companies need to show true data science leadership by developing a Responsible AI programme or boosting practices that have atrophied during the GenAI hype cycle which for many threw standards to the wind. They should start with a review of how regulation is developing, and whether they have the standards, data science staff and algorithm experience to appropriately address and pressure-test their applications and to establish trust in AI usage. If they’re not prepared, they need to understand the business impacts of potentially having artificial intelligence pulled from their repository of tools.
Next, these companies must determine where to use traditional AI and where they use GenAI, and ensure this is not driven by marketing narrative but meeting both regulation and real business objectives safely. Finally, companies will want to adopt a humble approach to back up their deployments, to tier down to safer tech when the model indicates its decisioning is not trustworthy.
Now is the time to go beyond aspirational and boastful claims, to have honest discussions around the risks of this technology, and to define what mature and immature AI look like. This will help prevent a major drawback.
Fred Fuller, Global Head of Banking at Endava, on how banks can effectively communicate AI advancements and demonstrate ROI to investors
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There is no single solution, AI or otherwise, that can prepare financial institutions for the modern world. To build a bank capable of successfully navigating the challenges of the future, a long-term digital transformation strategy is required. Especially relevant in the wake of recent IT outages,
At present, according to Endava’s Retail Banking Report 2024, 67% of banks are still heavily reliant on legacy systems. This leads to wasted budget and decreased efficiency. With limited resources available to modernise their tech stack, company leaders are often forced to choose which technology-type to prioritise. When doing this, 50% have chosen artificial intelligence (AI).
Is AI alone enough?
Can AI overhaul archaic processes or are there too many hurdles in the way? The first hurdle to successful digital transformation in financial services is overcoming the employees’ perception of the process. Time and time again, corporations have failed in the goal to integrate solutions that successfully feed into a long-term tech strategy. Often, this is due to wide-spread change fatigue. When exhausted by continuous efforts to change their day-to-day, workers become resistant to transformation. The best way to overcome change fatigue, and drive digital transformation in financial institutions, is through overhauling legacy systems. And adopting solutions that will stand the test of time.
Legacy Systems
Across the world, outdated legacy systems are holding financial institutions back and costing them billions. From 2022 to 2028, this expense is expected to grow at a rate of 7.8%. Not only do these archaic processes cost money, but they force banks to contend with a multitude of siloes. From departments to data. We live in a world where neobanks are growing in popularity. They are able to provide a frictionless customer experience using their modern tech stack. Traditional organisations must rid themselves of siloes to enable all areas of the business to leverage AI. In turn, this will provide them with strong data collection and support from departments who are agreed on next steps.
At present, three quarters of financial institutions feel they need to modernise their core. Without this change, they lack the secure, data-driven foundation necessary to utilise AI and see return on their technical investments.
The benefits of AI integration
Once a strong foundation has been laid, it becomes easier to see the practical benefits of integrating AI. For example, when data is no longer siloed by legacy systems, using chat bots to support customers with simple queries creates an efficient consumer experience. There are internal benefits too. AI can spot potentially suspicious activity, flagging it before it is too late. Or analysing data to ensure risk management and process automation. Despite its wide-reaching capabilities, AI alone is not the only option for financial institutions…
Routes to the future
Endava’s Retail Banking Report also showcased the variety of solutions that banks are using to improve their tech stack. 45% of respondents recognised data analytics, in and of themselves, as a top area for investment. Meanwhile 30% flagged IoT, and 14% the Metaverse.
There’s a reason for the emphasis on strong data. It not only supports the integration and use of AI-fuelled capabilities, but it is the driving force behind numerous functions of the bank itself. Of those surveyed, 37% aimed to use data to improve customer service. 34% to strengthen security, and 33% to personalise products and improve the customer experience.
As well as attracting and retaining consumers, business leaders can benefit from their access to strong data by attracting and retaining talent. With 39% of failed digital transformations viewing lack of employee buy-in as a factor, financial institutions are encouraged to educate workers on their technology integration plans, and ensure solutions are user-friendly. Fortunately, looking ahead, 20% of banks surveyed seek to use data to improve the workplace.
A bank’s priority – looking ahead
More than ever, banks are reliant on data to keep operations running smoothly. From providing customers with a personalised experience to improving the workplace in the competition for talent, there are a multitude of reasons to ensure the foundations of your tech stack are strong.
Doing so makes integration of new technology a smoother experience for all. To this end, it’s no shock that 50% of banks are keen to embrace AI, using it to benefit customers and speed up processes. However, with many hampered by the legacy technology and the ever-looming threat of change fatigue, integration of any technology should be carefully planned, customer focused and data led.
Lucian Daia, CTO at Zitec, on the rise of embedded finance driving customer loyalty across financial services
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The frenzy of Christmas and Halloween marketing is already in full swing, with date reveals of Christmas market returns to pumpkin patch locations. Retailers are gearing up to execute their strategies as the Golden Quarter approaches. This year, however, retailers have another string to their bow, another key message to snag a customer: ‘Buy Now, Pay Later’ (BNPL).
Business is booming in the BNPL game, with the market quadrupling in size since 2020. It is expected to hit a record level of £30bn in 2024. The payment option is fast becoming a staple in the digital wallets of millions for the major retail milestones of the year.
Halloween is the first major retail moment in the run-up to the festive season as Britain settles back into its winter routine. However, the rise of BNPL points to consumer behaviour that’s fast evolving and anything but predictable.
Retailers sink or swim based on the customer experience they deliver. From the rise of omnichannel strategies to speedy same-day deliveries, click and collect options, and attention-grabbing immersive experiences… There’s no shortage of initiatives to drum up customer loyalty. Now, payment solutions are part of the equation. Embedded Finance is front and centre of this change, integrating financial services (like loans, insurance, debit cards etc.) into businesses that don’t usually handle finance.
Application Programming Interfaces (APIs) offer a “Plug and Play” type functionality. Retailers can offer seamless payment solutions like BNPL or digital wallets directly on their systems. This integration keeps shoppers on the site and reduces the tiresome friction of third-party pop-up systems. Moreover, it offers features like zero-interest point-of-sale loans or app-based rewards. Of course, it allows them to check-out as easily and as quickly as possible too.
Bye-bye Velcro
Bye-bye Velcro, hello snazzy digital wallet that holds payment cards and bank account details all in one place. Digital wallets have become essential components of modern payments and offer a convenient and less risky way for shoppers to buy their items.
Gone are the days of searching for physical cards under stashes of files or keying in repetitive digits on a keyboard. Digital wallets also offer a reduced risk of fraud because of advanced encryption and tokenisation technologies. Beyond security, digital wallets provide retailers with valuable consumer insights.
For instance, if a customer buys a Halloween costume and decorations, retailers can use this data to target them with personalised offers. Such as a discount on themed candy bowls or matching spooky accessories. This level of personalisation is make or break for retailers today. Customers are setting a higher bar than ever for personalised content, offers and experiences that meet their needs and interests.
Speeding up cash flow with BNPL
Another innovation retailers need to have on their radar is instant payments. Unlike traditional systems that mean transactions can take hours or even days to complete, instant payments ensure funds are transferred within seconds.
For retailers, especially those operating on thin margins or managing high transaction volumes, the speed at which funds are made available can be make or break. The quick availability of cash means retailers can better manage their finances, buy new stock and address operational costs at pace.
Contrary to common belief, Brits don’t love queuing; in fact, they hate it. Faster payment options in-store have been pivotal in giving customers the speedy experience they demand so they can get on with their day. Quick transactions not only improve cash flow and reduce delays but enhance the customer experience. Making it ideal for those who’ve left their shopping too late, or forgotten an item on their list. As a result, customers walk away with the right impression.
Ditch the lines and pay with a tap
Retailers should be equipped with mobile point-of-sale (mPOS) systems that allow customers to make payments through their smartphones or other mobile devices, cutting down on wait times and speeding up the checkout process.
Retailers also stand to benefit from digital receipts, detailed sales reports, and real-time inventory management from having this system in place. This efficient processing not only improves cash flow but also provides valuable data for managing stock levels and customer preferences.
Beyond the Golden-Quarter
As retailers prepare for the Golden Quarter and beyond, understanding and leveraging FinTech payment innovations can seriously pay dividends. By adopting technologies such as embedded finance, digital wallets, instant payments, and mobile payments, retailers can improve their operational efficiency, enhance customer experiences, and position themselves for future growth in a digital-first world. Indeed, in recent years marked by economic shocks, huge tech advancements – especially with AI – and increasingly unpredictable consumer behaviour, it is crucial for retailers to stay ahead of payment options.
Providing consumers with flexibility, choices, and ultimately, ways to manage their outgoings and spread the cost will be key. Retailers will need to take a view on which innovations align best with the changing expectations of their customers and who they partner with to help them remain competitive.
DBS Token Services, marks new milestone in financial services with blockchain
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DBS has announced the introduction of DBS Token Services. The new suite of banking services integrates tokenisation and smart contract-enabled capabilities with award-winning banking services. It aims to unlock new transaction banking capabilities and operating efficiencies for its institutional clients with blockchain.
DBS Token Services via Blockchain
DBS Token Services unlocks instant, 24/7 real-time settlement of payments. It integrates the bank’s Ethereum Virtual Machine-compatible permissioned blockchain. This is the core payment engine and multiple industry payment infrastructure for DBS. In addition, smart contracts enable programmability for institutions to govern the use of funds according to predefined conditions. Enhancing security and transparency. Using a permissioned blockchain provides DBS full control over these services. It enables the bank to harness the benefits of blockchain technology while adhering to compliance standards.
The project is the culmination of several years of industry collaborations and experimentation in digital money innovations. The suite of solutions includes Treasury Tokens, Conditional Payments, and Programmable Rewards. It exemplifies how established financial institutions can leverage blockchain technology and smart contracts to deliver new client experiences.
Lim Soon Chong, Group Head of Global Transaction Services, DBS Bank
“To capture the massive shift of human and corporate activity to on-demand digital services, companies and public sector entities are reimagining their operating models and customer engagement strategies. A new generation of ‘always-on’ banking services is essential to support this shift and transformation.
“By leveraging tokenisation and smart contract capabilities, DBS Token Services enables companies and public sector entities. They can optimise liquidity management, streamline operational workflows, strengthen business resilience, and unlock new opportunities for end-customer or end-user engagement. It marks a significant step forward in transaction banking. It demonstrates how established financial institutions can leverage blockchain technology to deliver new ground-breaking features and experiences.”
DBS: Shaping the future of finance with Blockchain
Since 2016, DBS has been a driving force in several industry initiatives led by the Monetary Authority of Singapore. It has been exploring the potential of blockchain technology in enhancing Singapore’s financial landscape. Key initiatives include Project Ubin, Project Orchidand Project Guardian.
DBS Token Services continues to explore broader applications of blockchain enabled solutions. These include the tokenisation of securities and digitalisation of trade finance. These innovations reflect DBS’ ongoing commitment to building a more robust and innovative banking landscape..
Amelia Lowe, Vice President of Operations at SquareTrade, on the potential for AI to revolutionise InsurTech
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We have all witnessed the growth of AI in the past year. It’s quickly becoming an innate part of how we work. In the UK alone, the number of AI registered companies has increased by over 600% in under a decade. While the size of the AI market is expected to grow to over £800 billion by 2035. AI holds the power to radically reshape the way we live, learn, and conduct business. It can unlock possibilities we once only imagined. In the past two years, we’ve witnessed this transformational potential come to life. It’s driving innovation and redefining industries at an unprecedented pace.
We stand on the brink of a new era. AI is poised to become an integral force that not only enhances our daily lives but also paves the way for a more effective way of doing business and connecting with customers. AI holds the key to supercharging the customer experience, by creating seamless, intelligent customer journeys. So how do we do it?
In today’s highly competitive world, great customer service is essential. Customers do not want to feel like just another number. They want their individual needs to be recognised and addressed with personalised responses.
At SquareTrade, we aim to engage with our customers in ways that feel authentic and personal, even when they are engaging with AI. Our objective is to deliver a level of personalised interaction that was once thought of as unattainable with automated systems. Furthermore, ensuring every customer feels appreciated and understood in each exchange.
Enhancing customer experiences with AI for seamless, intelligent journeys
At the core of any customer relationship is the confidence that issues will be resolved quickly and effectively. Your team, and the people behind your company, play a pivotal role in delivering that trust across all customer touchpoints.
When integrating AI into a business, it is essential to align the technology with the company’s core objectives. For us, the focus has been on driving innovation and streamlining processes while ensuring customer service remains uncompromised. Our goal is to ensure, no matter how AI is implemented, the customer experience feels personal and authentic. Even with automated systems, we want to provide a level of personalised interaction that was once unimaginable. We see AI as an extension of our team. In light of that we apply the same values and principles to those we apply to our team, which focus on trust, transparency and respect.
Have you met Sally?
We now live in a world where AI tools and customer experience must work in harmony. According to Statista, 73% of consumers believe AI can enhance customer experience, with 80% reporting positive interactions with AI so far. Clearly, AI has reached a point where customers can appreciate its benefits during their times of need. It can seamlessly recognise and addresses issues productively.
When businesses explore integrating AI solutions, it’s crucial to align them with their unique standards, customer service approach, and company culture. No two AI solutions are alike. For us, it was vital that any AI implementation seamlessly complemented our existing operations. A key example of how we’ve achieved this is through the introduction of Sally, our AI chatbot. Sally provides one of the quickest and most efficient ways for customers to engage with us when visiting our website. This enhances the user experience while staying true to our service values.
We are already witnessing the benefits of introducing Sally. She consistently achieves high success rates in resolving customer incidents autonomously. By deploying her in a strategic and targeted manner, we can reserve human interactions for more complex queries and claims.
AI Training for Operational Excellence
AI’s potential goes beyond customer interactions. It is increasingly being leveraged for training and education within organisations. In an industry like insurance, where no two claims are the same, InsurTech companies need training systems that prepare team members to adapt to a wide variety of scenarios.
Given that individuals learn in diverse ways and at varying speeds, the ability to create personalised learning experiences is immensely valuable. We see AI training tools as the equivalent of providing each employee with a personal tutor. Moreover, one that can adapt to their unique strengths, challenges, and learning styles.
And the learning doesn’t stop when the training does. AI-powered platforms can now continuously assess performance in real-time. If an employee is struggling in a particular area, the AI can automatically adjust the learning program to address those needs. This ensures ongoing growth and development tailored to each individual.
Fraud Detection
AI is poised to revolutionise fraud detection and prevention. It is becoming an invaluable asset to the teams that monitor for suspicious activity. In the insurance industry, AI can be deployed at multiple levels to enhance fraud detection. For example, through intelligent automation that swiftly analyses large datasets and flags potentially fraudulent claims for further investigation. This can save valuable time and resources.
AI can also enable the creation of predictive models that forecast fraud based on historical data and emerging trends. This helps insurance players to stay one step ahead of evolving threats. These models improve risk assessment accuracy by reducing false positives and allowing us to focus more effectively on genuine risks.
Looking ahead, the potential for AI in fraud detection is immense. AI is breaking new ground in areas where traditional rule-based systems fall short. Its ability to process vast amounts of data in real time, identify patterns and anomalies that would be nearly impossible to detect manually, makes it a game-changer in tackling complex problems.
Embracing AI Advancements
AI has the potential to revolutionise countless industries, but its impact is particularly profound in InsurTech. Given the critical role insurance plays in people’s lives, the opportunities for innovation and improvement are vast.
As an industry, it’s essential we recognise AI’s ability to transform customer experiences. As early adopters, we have witnessed its potential firsthand. We will continue to leverage these advancements to enhance personalised and automated processes. We can bridge language barriers, and create new methods of interaction.
However, our focus must always be on finding the right balance. Identifying where these solutions can deliver the greatest impact in serving customer needs quickly and effectively. Moreover, also ensuring that we retain the opportunity for human connection whenever it is needed. As well as ensuring compliance and security are a core part of how we think about implementing solutions to enhance business operations.
WaveBL Completes a new groundbreaking network connectivity Proof of Value (POV) with Swift, the participation of five global banks, and leading ocean carrier eBL Issuer MSC
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WaveBL, the leading blockchain based electronic Bill of Lading (eBL) platform, has completed a groundbreaking Proof of Value (POV). It worked with Swift and the participation of five global banks. Lloyds, Emirates NBD Bank, Federal Bank Limited, and other banks. Furthermore, MSC Mediterranean Shipping Company (MSC), a leading ocean carrier acted as an eBL issuer on WaveBL.
The POV successfully demonstrated the transfer of structured electronic document presentations (including eBLs) originated on the Platform. They were sent to and between Swift members, and back to the Platform, all as part of a Letter of Credit (LC) transaction. The process was executed utilising a series of Swift FIN messages and FileAct transfers from WaveBL to the different banks. The process maintained possession and title management of the electronic trade documents on WaveBL’s ledger of issuance.
Describing the Flow of the POV with WaveBL
The POV involved two eBLs – one straight and one negotiable – both issued by MSC on the WaveBL platform. The eBLs were first sent to an exporter on the WaveBL platform. Here, commercial documents like a packing list, invoice, and certificate of origin were added. These were then sent to the advising bank by the platform over the secure and resilient Swift network, using an MT message and a FileAct document transfer. In turn, the advising bank and the issuing bank exchanged the presentation between them while WaveBL’s ledger maintained the tracking of possession and title of the contained eBLs.
Ultimately, the issuing bank released the documents to the LC applicant, who is the importer, including the endorsement of the negotiable eBL from the issuing bank to the order of the importer on the Platform. All of which was instructed to the platform through a Swift MT message. This streamlined process allows for payments to be received within hours, rather than days. This is often the case with transactions that involve the physical transfer of documents. Similarly, with the eBLs surrendered back to MSC on the platform, the importer was able to collect the goods at the port of destination without delay.
Strengthening the supply chain-trade finance connectivity: The WaveBL Swift gateway
This groundbreaking POV underscores WaveBL’s dedication to making its network fully integrated with the financial system. This allows customers to seamlessly interact with Swift members and among participants themselves. For Swift members, electronic trade documents could soon be exchanged via WaveBL using their existing Swift infrastructure. And without requiring the installation or use of any specialised software or service.
WaveBL anticipates that the concept led through this POV will further its mission of creating seamless connectivity between the supply chain and financial markets. It will drive the shift towards 100% adoption of eBLs, as outlined in the FIT Alliance Declaration of September 2023. WaveBL is also looking forward to becoming the first electronic trade document provider to achieve full connectivity with the entire Swift community. This allows all banks a simple, standardised way to receive and send electronic bank presentations originated on the platform.
Innovative approach by leading banks
The participating banks have all previously demonstrated exceptional innovation by using WaveBL as their entry point to the eBL market. They gained experience by exchanging electronic trade document presentations in live commercial transactions. As part of the POV, WaveBL, Swift and the banks established a joint working group. This was aimed at analysing the methodologies and structure of the Swift MT messages and the electronic presentations proven during the POV. Moreover, their involvement highlights a commitment to advancing trade finance through digitisation and cutting-edge technologies for document exchange. WaveBL is eager to continue working with the joint working group as its expected integration with the Swift network unfolds.
Boaz Lessem, Chief of Legal Regulation and Partnerships, WaveBL:
“As the eBL market continues to grow, this POV solidifies our vision of seamless connectivity between WaveBL and Swift, providing a new, standardised solution for banks that prefer not to use the platform’s interface directly. By leveraging Swift’s trusted infrastructure, banks will now be able to exchange electronic trade documents with ease. Enabling greater flexibility and efficiency in trade finance. I believe this connectivity will lead the way to an increased value proposition for the electronic transformation to eBLs. I thank the Swift team for its ongoing leadership and support as part of this POV, driving forward this important initiative in trade finance digitisation.”
Combining advanced technology with a people-led focus is the name of the game for Bravo Consulting Group. Bravo was founded…
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Combining advanced technology with a people-led focus is the name of the game for Bravo Consulting Group. Bravo was founded in 2007 by President and CEO Gino Degregori. He had his sights squarely set on leveraging Microsoft technologies to deliver cloud services, application modernization, and cybersecurity compliance. Bravo’s aim is to simplify how organisations create, share, and secure their intelligent information. In nearly 17 years of its existence, the business has grown into a premier Microsoft solutions provider serving the federal government, the Department of Defense, the Intelligence Community, and multiple Fortune 500 organisations.
Human-centric leadership and core values
Degregori began his career in software engineering and entrepreneurship. However, he quickly realised that his true calling was beyond just developing software and implementing Microsoft technologies. “I saw an opportunity to build an amazing organisation that provides real value to our customers through our people and innovative solutions,” Degregori explains. “While the cloud didn’t exist in 2007, development, automation, and security were already crucial.”
Degregori founded Bravo on core values that remain the cornerstone of the company today. “Our vision is to attract and create kind leaders who make an impact on our customers, partners, and communities,” he explains. “We lead with empathy, embracing kind leadership. This means prioritising the growth and wellbeing of our team members and clients. We view every interaction from a win-win perspective with a strong sense of accountability.
“It’s not just about implementing technology in your organisation; it’s about truly advancing the mission. Collaborating with great people enables us to deliver outstanding results,” he emphasises. Degregori also hosts The Kind Leader Podcast where he discusses empathetic leadership with industry leaders, embodying the values Bravo champions.
By fostering a culture of empathy and innovation, Bravohas established itself as a leader in cloud services, application modernization, and cybersecurity. Degregori’s commitment to building a people-centric organisation ensures that Bravo not only meets but exceeds the expectations of its clients, driving meaningful and impactful results.
Strategic partnership with AvePoint
Bravo’s commitment to collaborating with exceptional partners has been the cornerstone of its longstanding relationship with AvePoint. For 15 out of its nearly 17 years of existence, Bravo has partnered with AvePoint—a testament to the enduring strength and value of this collaboration. When Bravo first started, the Microsoft ecosystem was rapidly evolving, with many businesses transitioning away from legacy systems. AvePoint’s advanced SharePoint migration and administration tools played a pivotal role in this transition, enabling Bravo to assist over 100,000 users across various verticals in successfully migrating and managing their content and data.
“Our partnership with AvePoint allowed us not only to migrate vast amounts of content and data efficiently but also to reduce costs, which we passed on to our customers,” says Degregori. “It was a phenomenal opportunity to leverage AvePoint’s tools for seamless content and data migration. We recognized early on that AvePoint was poised for significant success, and from then on, our collaboration deepened, enabling us to develop even better solutions.”
This partnership is a key reason customers choose Bravo. By integrating Bravo’s expertise in the Microsoft ecosystem with AvePoint’s suite of tools, Bravo delivers a unique value proposition centred on data management, compliance, and AI-driven solutions. Customers benefit from a holistic approach that not only prepares them for new technologies but also ensures regulatory compliance, cost efficiency, and superior results.
Together, Bravo and AvePoint empower organisations to confidently navigate their digital transformation. Leveraging Microsoft’s advancements in AI and AvePoint’s robust data management tools, they offer cutting-edge solutions that address the evolving needs of modern businesses. This collaboration enables organisations to optimise their data, maintain stringent compliance standards, and harness the power of AI to drive innovation and efficiency.
Expanding horizons through collaboration
For the first decade, Bravo focused exclusively on the federal sector. Recently, Degregori made the strategic decision to expand Bravo’s services into the commercial sphere. “Our strong partnership with AvePoint was instrumental in this successful expansion,” he says. “AvePoint is a global organisation, and through our collaboration, we developed a strategy to penetrate the commercial market. We leveraged our combined services, expertise, and certified professionals at Bravo to build trust and confidence with the AvePoint commercial folks.”
The unique relationship between Bravo and AvePoint has facilitated this long-standing and successful collaboration. Degregori attributes their success to three key factors: communication, clarity, and trust.
“First, strong communication ensures continuous understanding. Second, clarity about our collective goals – focusing not just on our objectives but also on AvePoint’s – allows us to align our efforts effectively. Lastly, trust is paramount. We need to rely on each other through both successful projects and challenging ones. This mutual trust ensures we can support each other through thick and thin,” Degregori explains.
“We are always learning. When things don’t go as planned, we sit down, discuss the lessons learned, and find ways to improve. This continuous learning and mutual support strengthen our partnership and drive our shared success.”
Future growth
The future of Bravo and AvePoint is exceptionally promising as technology evolves at an unprecedented pace. Both organisations are at the forefront, leveraging the Microsoft ecosystem. With Microsoft’s substantial investments in generative AI, their reach is set to expand even further into the Fortune 500 globally.
“This momentum allows us to continuously leverage advanced tools, integrating them to deliver unparalleled value to our customers,” says Degregori. This focus on the human element—the customer—ensures that Bravo remains true to its core values.
“I am immensely grateful for the opportunity to lead an incredible organisation like Bravo and to maintain a long-term partnership with AvePoint. Ultimately, while we discuss technology and solutions, it’s all about people. We’re constantly seeking ways to connect better as partners and employers. This human-centric approach is what drives us to deliver superior solutions.”
This vision and commitment to both technological excellence and human connection make Bravo and AvePoint’s partnership not only resilient but also highly impactful for their clients. Together, they are poised to lead the way in digital transformation, ensuring that organisations are not only equipped with the latest innovations but also supported by a team that values their success.
Gabe Hopkins, Chief Product Officer at Ripjar, on how GenAI can transform compliance
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Generative AI (GenAI) has proven to be a transformational technology for many global industries. Particularly those sectors looking to boost their operational efficiency and drive innovation. Furthermore, GenAI has a range of use cases, and many organisations are using it to create new, creative content on demand – such as imagery, music, text, and video. Others are using the new tools at their disposal to perform tasks and process data. This makes previously tedious activities much more manageable, saving considerable time, effort, and finances in the process.
However, compliance as a sector has traditionally shown hesitancy when it comes to implementing new technologies. Taking longer to implement new tools due to natural caution about perceived risks. As a result, many compliance teams will not be using any AI, let alone GenAI. This hesitancy means these teams are missing out on significant benefits. Especially at a time when other less risk-averse industries are experiencing the upside of implementing this technology across their systems.
To avoid falling behind other diverse industries and competitors, it’s time for compliance teams to seriously consider AI. They need to understand the ways the technology – specifically GenAI – can be utilised in safe and tested ways. And without introducing any unnecessary risk. Doing so will revolutionise their internal processes, save work hours and keep budgets down accordingly.
Understanding and overcoming GenAI barriers
GenAI is a new and rapidly developing technology. Therefore, it’s natural compliance teams may have reservations surrounding how it can be applied safely. Particularly, teams tend to worry about sharing data, which may then be used in its training and become embedded into future models. Moreover, it’s also unlikely most organisations would want to share data across the internet. Strict privacy and security measures would first need to be established.
When thinking about the options for running models securely or locally, teams are likely also worried about the costs of GenAI. Much of the public discussion of the topic has focussed on the immense budget required for preparing the foundation models.
Additionally, model governance teams within organisations will worry about the black box nature of AI models. This puts a focus on the possibility for models to embed biases towards specific groups, which can be difficult to identify.
However, the good news is that there are ways to use GenAI to overcome these concerns. This can be done by choosing the right models which provide the necessary security and privacy. Fine-tuning the models within a strong statistical framework can reduce biases.
In doing so, organisations must find the right resources. Data scientists, or qualified vendors, can support them in that work, which may also be challenging.
Overcoming the challenges of compliance with AI
Despite initial hesitancy, analysts and other compliance professionals are positioned to gain massively by implementing GenAI. For example, teams in regulated industries – like banks, fintechs and large organisations – are often met with massive workloads and resource limits. Depending on which industry, teams may be held responsible for identifying a range of risks. These include sanctioned individuals and entities, adapting to new regulatory obligations and managing huge amounts of data – or all three.
The process of reviewing huge quantities of potential matches can be incredibly repetitive and prone to error. If teams make mistakes and miss risks, the potential impact for firms can be significant. Both in terms of financial and reputational consequences.
In addition, false positives – where systems or teams incorrectly flag risks and false negatives – where we miss risks that should be flagged, may come from human error and inaccurate systems. They are hugely exacerbated by challenges such as name matching, risk identification, and quantification.
As a result, organisations within the industry quite often struggle to hire and retain staff. Moreover, this leads to a serious skills shortage amongst compliance professionals. Therefore, despite initial hesitancy, analysts and other compliance professionals stand to gain massively by implementing GenAI without needing to sacrifice accuracy.
Generative AI – welcome support for compliance teams
There are numerous useful ways to implemented GenAI and improve compliance processes. The most obvious is in Suspicious Activity Report (SAR) narrative commentary. Compliance analysts must write a summary of why a specific transaction or set of transactions is deemed suitable in a SAR. Long before the arrival of ChatGPT, forward thinking compliance teams were using technology based on its ancestor technology to semi-automate the writing of narratives. It is a task that newer models excel at, particularly with human oversight.
Producing summarised data can also be useful when tackling tasks such as Politically Exposed Persons (PEP) or Adverse Media screenings. This involves compliance teams performing reviews or research on a client to check for potential negative news and data sources. These screenings allow companies to spot potential risks. It can prevent them from becoming implicated in any negative relationships or reputational damage.
By correctly deploying summary technology, analysts can review match information far more effectively and efficiently. However, like with any technological operation, it is essential to consider which tool is right for which activity. AI is no different. Combining GenAI with other machine learning (ML) and AI techniques can provide a real step change. This means blending both generalised and deductive capabilities from GenAI with highly measurable and comprehensive results available in well-known ML models.
Profiling efficiency with AI
For example, traditional AI can be used to create profiles, differentiating large quantities of organisations and individuals separating out distinct identities. The new approach moves past the historical hit and miss where analysts execute manual searches limiting results by arbitrary numeric limits.
Once these profiles are available, GenAI can help analysts to be even more efficient. The results from the latest innovations already show GenAI-powered virtual analysts can achieve, or even surpass, human accuracy across a range of measures.
Concerns about accuracy will still likely impact the rate of GenAI adoption. However, it is clear that future compliance teams will significantly benefit from these breakthroughs. This will enable significant improvements in speed, effectiveness and the ability to respond to new risks or constraints.
Ripjar is a global company of talented technologists, data scientists and analysts designing products that will change the way criminal activities are detected and prevented. Our founders are experienced technologists & leaders from the heart of the UK security and intelligence community all previously working at the British Government Communications Headquarters (GCHQ). We understand how to build products that scale, work seamlessly with the user and enhance analysis through machine learning and artificial intelligence. We believe that through this augmented analysis we can protect global companies and governments from the ever-present threat of money laundering, fraud, cyber-crime and terrorism.
The AXA Group aims to protect over 20 million customers through inclusive insurance globally by 2026
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AXA Egypt and Post for Investment (PFI), the investment arm of Egypt Post, are establishing the first micro-insurance company in Egypt. This strategic collaboration is made possible by leveraging the new insurance law and aims to revolutionise the insurance landscape in the country.
Financial Inclusion
This initiative is fully aligned with AXA´s conviction that postal networks play a crucial role in global financial inclusion. Over a quarter of the world’s adult population accesses formal financial services through their post office. AXA notably signed a partnership with the Universal Postal Union (UPU) in May 2024. Moreover, this collaboration with UPU includes a research program. It will showcase successful postal insurance models and the establishment of the Postal Insurance Technical Assistance Facility (PITAF). This will promote financial inclusion and risk mitigation among underserved populations. Through this partnership, AXA is pushing the boundaries of insurance to better protect all. Solidifying its dedication to inclusive insurance practices worldwide.
The Egypt Post, who will be the main distribution channel of this JV, is a well-respected organisation. It has a strong nationwide presence, renowned for its last mile distribution capabilities and robust brand credibility. Additionally, with over 4000 branches, kiosks, and mobile trucks across all governorates, Egypt Post is an integral part of the country’s infrastructure. It caters to the population with unparalleled reach.
“We believe in the power of collaboration to create lasting change, and this joint venture is a testament to our commitment to inclusive insurance. Together, we are revolutionising the insurance landscape in Egypt to better protect and empower communities, setting new benchmarks for millions seeking reliable and accessible insurance protection.”
Garance Wattez-Richard
Micro-insurance from AXA
The product categories will include both retail and group offerings. Embedded and voluntary options will cater to diverse needs. The range of products will cover various areas. These include hospital cash, personal accident, term life, payment protection, credit life, livestock, and group protection, ensuring comprehensive coverage for the customers.
The ambitious goal is to reach 12 million customers within the first decade of operation. Therefore, underlining the commitment to making a significant impact on the lives of Egyptians through tailored insurance solutions.
This collaboration between AXA EssentiALL, AXA Egypt and PFI/Egypt Post marks a significant milestone in the local insurance industry. It paves the way for inclusive and impactful micro-insurance offerings that have the potential to transform the socio-economic landscape of Egypt. As the first of its kind, this micro-insurance company is poised to set new benchmarks. Furthermore, it can become a beacon of hope for millions of Egyptians seeking reliable and accessible insurance protection.
SemFi by HSBC will deliver innovative embedded finance solutions for businesses
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HSBC has launched its new jointly owned venture, SemFi by HSBC. It aims to deliver Seamless Embedded Finance solutions to business clients.
The new technology company is a joint venture between HSBC and B2B global trade network Tradeshift. Furthermore, SemFi will embed HSBC payment, trade and financing solutions across a range of e-commerce and marketplace venues, including Tradeshift’s own B2B network.
SemFi will deliver its solutions in the UK to begin with. Furthermore, it will enable SME suppliers on e-commerce venues to access digital invoice financing from HSBC. Via a seamless experience it also aims to offer SMEs greater flexibility and security in their spend management through the bank’s virtual card solutions.
SemFi by HSBC
“Businesses are increasingly looking for seamless financial solutions that are embedded within their e-commerce journeys. So they can access these when and where they need them.
“SemFi by HSBC aims to deliver such embedded capabilities to help businesses grow. It will seek to bring the best of both worlds to our business customers and e-commerce partners. A startup technology mindset coupled with the global scale and expertise, of an international bank.”
Vinay Mendonca, Chief Executive Officer
The new venture is led by senior leadership drawn from HSBC. This includes Vinay Mendonca as CEO and Shehan Silva as Chief Operating Officer (COO). Additionally, Jo Miyake, Interim CEO of Global Commercial Banking, joins the SemFi board.
HSBC has been steadily building its capabilities and presence in embedded finance. It is driven by business customers seeking connected financial journeys to e-commerce venues.
HSBC supports around 1.3 million businesses worldwide. Moreover, it is the world’s largest trade bank, facilitating over $800 billion of trade flows annually.
Tradeshift supports over $260 billion of annual gross merchandise value for a million business users on its platform.
SemFi is intended to be a technology company and will not operate as a banking entity. Clients will be onboarded by the bank and the bank’s balance sheet will be leveraged for financing.
Our cover story reveals the digital transformation journey at global insurance services company Innovation Group using InsurTech advances to disrupt…
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Our cover story reveals the digital transformation journey at global insurance services company Innovation Group using InsurTech advances to disrupt the industry.
Welcome to the latest issue of Interface magazine!
We’re excited to be publishing the biggest ever issue of Interface this month. It’s packed with insights from the cutting edge of digital technologies across a diverse range of sectors; from InsurTech to Travel via eCommerce, Banking, Manufacturing and Public Services.
Innovation Group: Enabling the Future of Insurance
“What we’ve achieved at Innovation Group is truly disruptive,” reflects Group Chief Technology Officer James Coggin.
“Our acquisition by one of the world’s largest insurance companies validated the strategy we pursued with our Gateway platform. We put the platform at the heart of an ecosystem of insurers, service providers and their customers. It has proved to be a powerful approach.”
Leeds Building Society: Tech Transformation Driven by Data
Carole Roberts, Director of Data at Leeds Building Society, on a digital transformation program driven by the mutual power of people and culture.
“We’ve made the decision to move to a composable architecture. It’s going to give us much more flexibility in the future to be able to swap in and out components rather than one big monolithic environment.”
AvePoint: Securing the Digital Future
Kevin Briggs, Vice President of Public Sector at AvePoint, discusses pioneering data security and management transformation in the global public sector.
“We ensure the security, accessibility and integrity of data for customers with missions from everything from finance and health services, through to national security, innovation, and science.”
Saudia: Taking off on a Digital Journey
Abdulgader Attiah, Chief Data & Technology Officer at Saudia, on the digital transformation program towards becoming an ‘offer and order’ airline.
“By the end of this year we will have established the maturity level for data technology, and our digital and back-office transformations. In 2025 we will begin implementing our retailing concept and the AI features that will drive it. The building blocks will be in place for next year’s initiatives where hyper personalisation for retailing is a must.”
Publicis Sapient: Global Banking Benchmark Study
Dave Murphy, Financial Services Lead, International – gives Interface the lowdown on the third annual Global Banking Benchmark Study and the key findings Publicis Sapient revealed around core modernisation, GenAI, data analytics transformation and payments.
“AI, machine learning and GenAI are both the focus and the fuel of banks’ digital transformation efforts. The biggest question for executives isn’t about the potential of these technologies. It’s how best to move from experimenting with use cases in pockets of the business to implementing at scale across the enterprise. The right data is key. It’s what powers the models.”
Habi: Unleashing liquidity in the LATAM market
Employees at Habi discuss its mission to help customers buy and sell their homes more effectively.
“At Habi, you can talk with the AI agent and you can provide information that streamlines the whole process.”
USDA FPAC: Achieving customer experience balance
Abena Apau and Kimberly Iczkowski, from USDA FPAC on the incredible work the organisation is doing to support farmers across America.
“We’ve created a new structure for ourselves, based on the fact that the digital experience is not the be all and end all, and we have to balance it with the human touch.”
Adecco Group: Digital Transformation driven by business outcomes
Geert Halsberghe, Head of IT, Benelux, at Adecco Group, talks transformation management, cultural consensus, and ensuring digital transformation starts (and stays) focused on solving business problems.
“It’s very crucial to make sure that we aren’t spending money on IT transformation for the sake of IT transformation.”
La Vie en Rose: Outcome-focused Digital Transformation
Éric Champagne, CIO of La Vie en Rose, on ensuring digital transformations are defined by communication, vision, and cultural buy-in.
“I don’t chase after the latest technology just because it seems cool… My focus is on aligning technology with the business strategy and real needs.”
Breitling: Digital Transformation and the omnichannel experience
Rajesh Shanmugasundaram, CTO at Breitling, talks changing customer expectations, data, AI, and digitally transforming to deliver the omnichannel experience.
“The CRM, the marketing, our e-commerce channels — they’ve all matured so much… we’re meeting our customers wherever they are or want to be.”
Sejal Mehta and Andrew Rodgers from Odgers Berndtson’s Global FinTech Centre of Excellence and Randy Bean, a Senior Advisor to Odgers Berndtson and industry author, explore the dynamics shaping leadership in the UK fintech sector
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The UK FinTech sector is undergoing a significant transformation, marked by maturation, consolidation, and a more selective investment landscape. Funding is increasingly funnelled towards profit-generating scale-ups, and away from newer entrants.
At the same time, the sector is shaped by a multi-generational workforce with varied perspectives. Meanwhile rapid advancements in AI foster apprehension and excitement. These converging factors make FinTech one of the most dynamic and competitive spaces to work in today. This presents both challenges and opportunities for its leaders.
From our perspective as global FinTech executive search and leadership advisors at Odgers Berndtson these shifts are reshaping the demands placed on leadership. They are also influencing what it takes to lead effectively in this fast-changing sector. Here, we explore the leadership trends that are emerging as a result.
Ethical FinTech leadership
Venture capital funding is now more selective and private equity investors are increasingly targeting fintechs with solid exposure. This is creating a difficult environment for new start-ups. Those attracting funding are typically cash-positive scale-ups.
Amidst these challenges, more FinTech firms are opting to list on the NASDAQ rather than the London Stock Exchange, as the UK navigates more stringent regulation. The need for payments licences, extensive reporting, and compliance demands weigh heavily on FinTech leaders.
In this landscape, we’re seeing leaders with experience in regulated financial services bring a valuable skillset. The ability to operate within defined regulatory frameworks while generating growth. FinTech boards are looking for leaders with high authenticity and who can make ethical decisions. And while balancing ambition and growth with the realities of working in a highly regulated space.
Founder replacements
We are in the midst of the FinTech sector’s maturation. Start-ups are transitioning into scale-ups, requiring different leadership competencies. For many, this requires the founder to step down or step into a board role and appoint a CEO who can take the business through its next stage of growth.
This requires leaders who are commercially driven, capable of shaping market strategies, and adept at understanding customer needs and product-market fit. Navigating risk and regulation becomes crucial, while the founder’s creative, opportunity-led approach typically no longer dominates the new operational and strategic demands.
Boards and investors are looking for CEOs with a broader skillset and deep regulatory expertise. These leaders must also be able to attract and retain the type of talent that can sustain growth and innovation, while maintaining the ‘DNA’ that made the business so attractive in the first place.
A multi-generational workforce
Intergenerational divides are becoming more pronounced for all businesses and noticeably in sectors like FinTech. Here, younger generations with fresh perspectives are working alongside older, more experienced professionals – often from traditional financial services backgrounds.
This diversity in age, experience, and approach can be a powerful asset, but only if integrated effectively. Typically, Gen Z and Millennials prioritise flexibility, technological integration and experimentation. Meanwhile, Boomers bring valuable expertise in regulatory environments and operational effectiveness, but may be more accustomed to traditional structures and leadership styles.
Increasingly, we see FinTech leaders attempt to bridge these divides by emphasising open communication, promoting mentorship opportunities, and encouraging cross-generational collaboration. With less funding and more regulation, FinTech leaders recognise the need to identify and capitalise on the strengths of a multigenerational workforce if they are to succeed.
Leadership team dynamics
As FinTech companies scale, leadership is no longer just about the capabilities of individual leaders but about the dynamics of the entire executive team. Successful scale-ups understand the importance of assembling a leadership team that brings a diverse mix of skills, and generational perspectives to the table.
We are starting to see FinTech companies think about leadership team dynamics as they scale up. Boards are looking for a blend of strategic, operational and ethical considerations. As well as how well team members work together. Do they solve problems cohesively? Are there any unresolved tensions or conflict? Are they aligned and equipped to collectively deliver on the leadership mandate?
Many leadership teams are not optimising their potential due to misalignment of strengths. For example, we recently worked with a FinTech creating an executive team profile to identify the leadership competencies needed to deliver their mandate. This exercise enabled the team to reallocate executive responsibilities for strategic initiatives based on the required strengths, regardless of traditional job roles.
Polarising views on Gen AI
Leading organisations are experiencing a transformational moment due to accelerated interest in AI and Generative AI. 89.6% are increasing their investments in AI, while 64.2% of companies have indicated that AI will be the most transformational technology in a generation. In response, organisations are hiring for the data and AI leadership roles required to prepare their companies for an AI future.
However, this integration of Gen AI has sparked both excitement and nervousness, particularly around issues of data protection and privacy. Generational differences are especially noticeable. Younger professionals are often less concerned about data privacy, while older generations remain cautious about the security implications.
This divergence in attitudes can create tension within the organisation, as leaders grapple with how best to leverage Gen AI while ensuring compliance with stringent data protection regulations. For some FinTechs, AI is seen as a specialised area requiring dedicated focus. Meanwhile, others believe AI represents a fundamental shift in how business can be conducted and AI strategy should be woven into the fabric of every leader’s responsibilities.
This divide in attitudes reflects the broader challenges we see FinTech companies face in incorporating AI. Leaders must now navigate the balance between embracing innovation and safeguarding sensitive information. They must also ensure AI is not seen as a siloed function. It must be an integral part of their commercial and strategic vision. Given the fundamental changes in the sector, the emphasis on leadership capabilities is changing for both the individual and executive team.
Berkley Egenes, Chief Marketing & Growth Officer at Xsolla, on the legislation changing financial services
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The European Union’s Digital Market Act has sent tremors through digital payments. The legislation is designed to stop Big Tech’s monopoly over vital online services, from search engines to messaging apps. But beneath the surface, one of the most fascinating battlegrounds is how the Digital Markets Act will impact the lucrative world of digital payments. A space long dominated by a few influential players. This will affect how industries, including the video game industry, monetise these services.
Big tech’s digital tollbooth
For years, the platform owners have controlled much of the infrastructure around digital payments. Major platforms have tightly controlled access, charging app developers and merchants fees for every transaction processed. Furthermore, they take hefty cuts from each purchase through their ecosystem. The impact of the Digital Markets Act may vary across different platforms. Some companies will need to adjust their models to fit the legislation. Others may push back or delay changes through legal and regulatory channels.
The Digital Markets Act specifically targets a select group of ‘gatekeepers’, defined by their user base, revenue, and platform reach. Not every platform or company will be obligated to follow the Digital Markets Act’s rules. However, companies like Apple and Google, fall under the Digital Markets Act’s direct scope. The legislation now obliges these companies to open their platforms. This will allow smaller players and third-party services to operate without being strangled by eye-watering fees or exclusionary policies.
The impact on monetisation with Digital Payments
The big question is how this will impact the business models of the gatekeepers and the developers who rely on these platforms. For years, the mobile platforms have depended on hefty commission fees. Often as high as 30%, these monetise digital payments within their ecosystems. These fees have been a central sticking point for developers, particularly video game studios, which sometimes generate billions in revenue through in-app purchases and microtransactions.
Free-to-play mobile games specifically rely heavily on players making in-game purchases, from cosmetic skins to virtual currency. Under the current system, a significant chunk of that revenue is siphoned off by platform holders. They collect commissions on every transaction. This has forced game developers to either raise prices or accept slimmer margins while operating within the confines of strict payment policies.
The Digital Markets Act is disrupting this current model. Game developers have been fighting the ability to direct players to alternative payment methods. They may now have the freedom and access to offer alternative ways to market and monetise their game while still having the player experience on the mobile phone. As a result, for the first time, consumers may be able to choose alternative payment processors. This potentially reduces costs for players and developers alike.
For video game developers, particularly indie studios, the Digital Markets Act could represent a long-awaited relief from the large hold of app store economies. Developers can now distribute, market and sell their digital items and bundle packs through their online web shop or mobile SDK. By exploring these alternative options, developers will be retaining more of the profit per transaction. They could invest in better content or offer custom promotions to players – a win for both creators and consumers in the gaming industry across Europe.
Don’t ignore the challenges
The Digital Markets Act ushers in a brave new world of competition and choice for consumers, but it’s not all plain sailing. While the Digital Markets Act is designed to promote competition, the actual implementation of its provisions is still subject to regulatory developments and potential litigation. This means the full impact of the Digital Markets Act could take time to materialise. Moving towards a more open payment system demands a mountain of technical tweaks and a watchful eye from regulators. The real headache will be getting all these different payment systems to talk to each other while keeping security watertight.
Consumers also have to consider how they will adapt to these changes. While there are many benefits, changing habits takes work. The success of the Digital Markets Act will depend on effective communication, education, and transparency to ensure consumers are aware of the new options and their benefits.
A new era for Digital Payments?
While the Digital Markets Act promises greater choice and a more level playing field, the road ahead will be anything but smooth. While the Digital Markets Act’s potential to break down monopolistic practices is significant, its effects may not be felt immediately. Regulatory processes, litigation, and slow consumer adoption could mean the transition to a more open digital payments landscape occurs gradually over time. Gatekeepers have maintained a firm grip on payment infrastructure for years, charging high fees that have eaten into developers’ profits. But with the Digital Markets Act tearing down some of these walls, game studios may have the flexibility to finally bypass gatekeepers and offer cheaper in-game purchases, subscriptions, and services directly to consumers.
While the Digital Markets Act opens doors for smaller developers and alternative payment options, it also forces companies to rethink their monetisation strategies. This could potentially pass new costs onto consumers in other ways. What is clear is that the digital payments landscape is in flux. How the tech giants, game developers, and consumers adapt to this new reality will define the future of monetisation in the digital economy. The game is far from over, and the real winners have yet to be decided.
FinTech Strategy spoke with Ryan O’Holleran, Head of Sales, Enterprise, EMEA at Airwallex, to learn about the global payments and financial infrastructure provider
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Airwallex, a financial infrastructure provider, offers a range of services. Including multicurrency accounts, payment acceptance card issuing, foreign exchange (FX) payouts, treasury and expense management. In addition to supporting small and medium-sized businesses, the company also provides APIs and a software layer for direct access to enterprise businesses. As well as an enterprise platform product called Scale. Airwallex has found success working across various industries. It works with the likes of Bird (formerly MessageBird) to handle global accounts and backend treasury, and partners with Qantas to offer financial tools for their business partners.
The company also enables faster and more efficient payments through its patchwork network of financial partnerships and licenses. Airwallex has experienced significant growth even during economic downturns. As of August this year, Airwallex globally processed transactions worth more than $100 billion annually and saw a 73 percent year-on-year increase. It is now focused on embedded finance solutions and global expansion.
At Money20/20 Europe, FinTech Strategy spoke with Airwallex’s Head of Sales, Enterprise, EMEA, Ryan O’Holleran, to find out more…
Tell us about the genesis of Airwallex?
“Our co-founder, Jack Zhang, started a coffee company in Melbourne, Australia, which is still around today, with a few friends from university. And while they were building out this coffee shop, they were buying beans from abroad, along with supplies and packaging. They found how hard it was to actually pay for services, send funds abroad and deal with multiple currencies. So, they saw an opportunity to help streamline the financial infrastructure for small businesses. That’s when Jack and his co-founders put Airwallex together and built out an initial SME’s use case to allow multicurrency accounts and FX payouts. Since then, the business has really expanded…
Today, Airwallex provides a set of APIs – we’re really providing financial infrastructure to move money globally. On those APIs, we also have a layer of software that we can offer direct access to enterprise businesses. The third part of this, which is kind of the new product over the last three years, is our enterprise platform product called Scale. Scale allows you to embed those financial services into a product as well as a platform or marketplace. So, you kind of think about it as a direct treasury product, APIs and a platform product.”
Tell us about your role at Airwallex?
“I’m originally from San Francisco, grew up in the Bay area, started in tech, did a couple of startups, and I actually got into payments via Stripe. I joined Stripe back when there were about 200 employees in San Francisco. Spent some time in Chicago and then moved to the UK initially with Stripe. I was there for about five and a half years, as we went from 200 staff to 6,000. At that point, I wanted to get back to something a little bit different. To help more cross-functioning with product and help scale businesses. The opportunity with Airwallex came along where I saw the company addressing many things my customers at Stripe were asking for.
So, the FX piece, mass payouts, treasury, all complimented what Stripe is doing with acquiring. Since I joined the team three years ago, we’ve been scaling across EMEA. We now have offices in London, Amsterdam, Vilnius and just last year launched our office in Tel Aviv to cover Israel. And we have teams in the Americas and APAC where Airwallex was founded.”
What are some of the key challenges financial institutions are facing that you can help them with? What problems are companies asking you to solve? In doing so, what are the challenges for Airwallex?
“We work in different areas. This is where I think we have differentiated the business and also where I see the industry moving. If you look back over the last five, 10 years, there was this approach where you had Stripe and all the major players coming in and saying, we can do things and we can do it really well and you only need to use us, you don’t need to use a patchwork of providers. I think that is starting to shift. You see this with orchestration layers like Primer or Gravy, allowing people to be agnostic on PSPs. And then you’re seeing people think about redundancy. So, the heads of payments we’re talking to this week are looking at two or three providers because they need redundancy or want to use the best provider in each region. They don’t want to be siloed.
Airwallex can be used in a segmented approach. So, if you just need us for payouts, you can do that. If you just need us for FX, you can do that. If you just need us for acquiring, you can do that. Or we could do that globally and you can adjust as you see fit. So, the flexibility of Airwallex I think is one of our superpowers.”
Tell us about some of the successful partnerships Airwallex has been involved in…
“The interesting thing about Airwallex is that since we’re providing financial infrastructure, there’s a huge variety of customers we work with. One of the local ones is Bird (a cloud communications platform that connects enterprises to their global customers). Using our software product they are creating global accounts, handling backend treasury, payroll, suppliers and more. We’ve also worked with Qantas to build out an SMB solution embedding all of the Airwallex financial services and they call it Qantas Business Money.
Elsewhere, Brex in the US were looking for a provider to help with their payout rails. One of the things Airwallex has done is rebuilt the Swift network via local rails. So, we have a patchwork network of financial partnerships and licences where if you are located, let’s say in the US, but you want to pay somebody out in the UK, you get access to faster payment rails having never set foot in the UK or separate rails via Europe having never set foot in the EU. So, you get this mass payoff solution of local rails, which is faster, cheaper, and more efficient than using something like Swift.”
What trends are you seeing across the FinTech landscape? What opportunities do you see for Airwallex?
“I think where we’re seeing a lot of opportunities, in EMEA specifically, in B2B, vertical, SaaS, travel and marketplaces, is this embedded finance solution. It was kind of a buzzword a few years ago and now we’re actually starting to see it develop. I view it as actually embedding all of these financial services – whether it be a wallet, issued cards, or local multi-currency accounts – and being able to monetize that. So, we’re seeing this with a lot of our customers actually wanting to white label our products, embed that and bring payments on platform.”
And what’s next for Airwallex? What future launches and initiatives are you particularly excited about?
“The growth of Airwallex, specifically on a global scale, over the last few years is one thing I’m very proud of because it’s happened during one of the worst economic downturns we’ve experienced. FinTech was almost retracting in terms of budgets and investments. You’re starting to see the tide turn, but we were able to grow over 100 percent year on year, through some of the toughest times for business. And now we’re really starting to see that pick up because the businesses, who actually decided this is going to be a building year for us now, they’re going live, they’re accelerating, they’re growing.
And so we’re seeing the ROI of that investment. It’s a testament to the global financial infrastructure we’ve built. Meanwhile, Airwallex became cash flow positive in 2023. It now processes more than $100 billion in annualised transaction volume. The company now employs over 1,500 people worldwide working across 23 international offices.”
Why Money20/20? What is it about this particular event that makes it the perfect place to showcase what you do? How has the response been to Airwallex?
“The great thing about Money20/20, here in Europe, and in Asia and the US, is the good division between buyers and sellers. So, you have all these service providers like Airwallex, Amex, etc… And then you have the Heads of Payments from companies like Booking.com, Vinted and SumUp who are coming here with their teams to meet with providers. If you think about that from a sales perspective, those meetings are very hard to get outside of this environment. But over a week you get 15 different meetings each day that would normally take months to arrange. So, the ROI from this week is really powerful just from being able to have these conversations. Three years ago, we first came to suss out the event and as we’ve grown the response has grown. People are being proactive and keen to engage with us which is exciting to see.”
Finch Capital report shows UK FinTech sector dominant across Europe
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The latest annual State of European Fintech report by FinTech growth capital firm Finch Capital has been published. It shows the UK dominating Europe with 65% of deals in H1 2024. The UK is maintaining its dominance amid declining funding across the continent.
Highlights include:
Funding in UK FinTech increased 3% year-over-year to £2.3bn, highlighted by Monzo’s £500m deal.
UK sectors such as insurance set to gain from AI adoption, with 80% of actuaries using it for improved risk analysis.
FinTech sector beginning to see jobs market recover in Europe, up 10% YoY.
“The next wave of fintechs is shifting from unicorns to ‘half-a-corns,’ with £500m valuations becoming the new benchmark” Aman Ghei, Partner at Finch Capital
The UK has increased its dominant role in Europe’s FinTech sector. It now accounts for two thirds of the total volume of deals reached across the continent in the first half of this year. According to a new annual report analysing the sector, with investment and M&A anticipated to grow this year and into 2025.
The annual State of European Fintech 2024 report found the UK is strengthening its position at the forefront of the European FinTech sector, despite an overall decline in funding across the continent.
The report highlights the ongoing challenges faced by the sector. It notes that higher interest rates, a focus on cost efficiency and increased scrutiny on the sustainability of business models have driven the UK to account for around 65% of fintech deals in Europe.
Funding in the UK FinTech sector rose 3% YoY to £2.2bn compared with £1.9bn in H1 of last year. The largest deal done in Europe in H1 was UK’s Monzo, which raised £500m in equity.
The European FinTech Picture
Overall, the 9th edition of the annual report, authored and compiled by leading fintech growth capital firm Finch Capital, found that although it remains a challenging environment for European FinTechs, there are clear signs of brighter prospects ahead.
While the UK leads the way, the Netherlands showed resilience, with investment volumes holding steady. Meanwhile, Ireland, Germany, and France all saw major government-backed initiatives aimed at fostering growth through 2025. Signalling strong long-term commitment to the local technology ecosystems.
Despite a notable contraction in funding across Europe, some key sub-sectors helped by higher interest levels, such as challenger banks like Revolut and Monzo, are beginning to show profitable growth.
Higher Rates and Boosted Profits
The report revealed that total capital invested in European fintechs in the first half of 2024 fell by 25% YoY, from £3.2 billion in H1 2023 to £2.4 billion in H1 2024.
However, profitability in sub-sectors like banking is driving larger funding rounds. The top challenger banks are generating close to £600m in profit in 2024 compared to a £125m loss in 2023.
As these banks emerge as success stories, the UK has become a hub for profitable growth, while other European nations work to adapt, the report found.
Mid-Market Fintech M&A Thrives
The report also highlighted the increasing activity in the mid-market M&A space across Europe. Particularly in the UK, which is benefiting from consolidation in the sector.
Funding rounds for fintech unicorns have slowed, the findings show, with investors prioritising companies with solid financial fundamentals and avoiding overly ambitious valuations based on hyper growth and unproven profitability.
European exits under £500 million now account for 32% of global M&A activity, although the market remains 2-3x smaller than the US for larger deals, according to the report.
AI Creating Efficiency
The report also found that, as a leader in fintech innovation, the UK is expected to benefit significantly from the adoption of AI technologies in the coming years, particularly in the insurance sector.
According to research, 4 out of 5 actuaries are now using AI to improve risk analysis and pricing models and 65% of executives say they will invest more than $10 million in AI in the next 3 years, making the industry more efficient.
Commenting on the findings, Aman Ghei, Partner at Finch Capital, said:
“The challenges that fintech faced in 2023 were necessary for the sector to mature and become more sustainable. While funding may be down overall, and unicorn chasing has slowed, there is plenty of opportunity for companies that are capital efficient and have a clear path to profit. With AI transforming the industry and significant dry powder still available, the next 12-18 months will mark a turning point for fintech in Europe. The next wave of fintech success stories will likely be built on sound financials rather than rapid revenue growth alone.”
Hugo Farinha, Co-founder and CTO at Virtuoso QA on why AI is driving organisational change across financial services
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We’ve seen an enormous amount of discussion concerning all aspects of AI since the emergence of Chat GPT made it headline news. However, most articles and conversations focusing on its business impact seem to wilfully ignore the ‘elephant in the room’. Namely, the inevitable organisational change AI will usher in, especially for employees.
AI technology driving change
To ignore change is folly, and likely to have the exact opposite effect that businesses and AI technology vendors want. We can’t pretend workforces won’t be disrupted by such a seismic technological advance. Certain job roles will become obsolete. Business leaders can’t run the risk of creating a culture of fear and uncertainty among employees who are unlikely to be fooled.
It’s true AI could lead to leaner operations, particularly in insurance and finance companies, with fewer employees needed for routine tasks, but only half the story. Smart businesses will almost certainly reinvest cost savings into new growth areas that require specific human talent. Companies that maintain a strong human element in customer service and personalised offerings will differentiate themselves in a crowded market. The rise in AI-driven, agile companies will create faster market shifts and greater competition.
While AI has the potential for productivity and efficiency gains, and even to do the same with less if needed, I actually don’t predict major job culls in the next few years. AI is particularly good at data processing and data analytics, in insurance for example. So, when more data can be processed and analysed, human intervention can make better informed decisions as a result. In the short to medium term, data analysis and decision making will remain firmly in the human realm. But powered by AI.
The Future for Artificial Intelligence
Meanwhile, the technology is still evolving, and organisations need to build a model that layers over the top of AI – powered by it, rather than replaced by it. Despite the hype, we are still a long way from AI becoming an entity that can lead, implement and operate itself to a purposeful end. But it will increasingly power applications overlaid by strategic, human-led frameworks.
To achieve this, leaders must bring their teams with them on the journey. In the field of testing for example, developers have traditionally written code as part of their role. This is a very time consuming and laborious task. Historically skills gaps have led to delays in progress. But the ability to ‘outsource’ to AI has freed up the time of those developers to focus on the purpose of that code in relation to the product. And, ultimately, the customer. Similarly, leaders in all fields need a broader understanding of AI use cases such as these to make effective strategic decisions. For example, on hiring. Understanding when to bring in more people and when to bring in new technology to complement the skills of your existing team means understanding AI’s strategic implications, technical capabilities and limitations.
An Evolving Job Market
From the perspective of the employee, the job market will continuously evolve alongside AI advancements. It will require ongoing adaptation and learning to stay relevant. Skills such as empathy, communication, and negotiation will remain vital. These are differentiators and difficult for AI to replicate. Understanding AI tools and data analysis will be increasingly important, even for non-technical roles. The ability to adapt to new technologies and continuously learn will be essential. Moreover, as AI becomes more integrated, the need for professionals who understand the ethical implications and regulatory requirements will grow exponentially.
Driving growth and job creation in this new world will require a different mindset to the current received wisdom. From both employees and leaders. In addition to the advances and changes already discussed, AI also has the potential to level the playing field, enabling smaller or newer companies to compete more effectively with, and even seriously threaten, established players. With many traditional barriers to entry such as burdensome start-up costs removed, new business models are likely to emerge. In much the same way as they did in the early days of the internet. Investors will be on the lookout for the next ‘giant killer’.
This will create opportunities for those with the foresight to upskill, as well as for those looking to start their careers. Although those opportunities and the jobs of tomorrow may not yet be completely clear. What is clear, however, is that established businesses cannot afford to be complacent. Change is inevitable and empires can be toppled overnight by technology as disruptive as AI. By embracing it early, leaders in those businesses will have the opportunity to spot and fix the gaps and redundancies in their business models that the technology and its capabilities exposes before the market does so more painfully and publicly.
Our mission is to enable and lead the world’s quality-first revolution. QA tools haven’t kept up with the demands of the testing world. Virtuoso is here to deliver with AI-powered, low-code/no-code test automation to support the modern business.
“Virtuoso technology represents the foundation for software quality in the digital world, and we are proud to be a critical, guiding force in the era of AI.”
AXA UK has launched new online InsurTech tools to enable customers to notify claims digitally for both home and car insurance
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AXA customers can now benefit from a new and improved digital service when making an insurance claim. They can use InsurTech tools that allow them to notify losses online. The improved online service allows customers to notify AXA of their claim online anytime they choose. Not only will it be more convenient, but it will also make for a more efficient claims experience. This allows AXA to offer support and resolve claims in a timely manner.
AXA Online Insurance Tools
Car insurance customers can register claims for road traffic accidents, theft of vehicle, lost or stolen keys, misfuelling, storm or flood damage and malicious damage. Using this service gives customers the option of an end-to-end digital notification experience. It offers a broader choice in the ways they can interact with customer service teams.
Home insurance customers can also use the tools to register claims online for theft, escape of water, flood, storm, accidental damage and accidental loss. This is then picked up by the customer service team to take the claim forward.
Making an impact with customers
The improved service is already making an impact with customers. A recent home insurance claim was reviewed and a supplier was instructed within two hours of being registered online. Motor insurance customers have also been able to book in their vehicle for repairs within minutes of notifying AXA of a claim.
“We know that our customers’ expectations have evolved in recent years. They want the claims process to be quick, clear and simple. That’s why we’ve worked hard to ensure that these enhanced digital claims tools offer customers fast and seamless journeys. At a time when they need it most as well as offering increased flexibility and improving their overall experience.”
Suzy Tiffany, Retail Claims Director at AXA UK
AXA has focused on how it can improve customers’ experiences and interactions by providing digital capabilities where possible across its claims journeys. The claims submission service can also be accessed by brokers, enhancing the claims journey for them and their clients.
However, all the usual channels will still be available for brokers and customers to contact the claims teams. Even if they have notified a claim online, they can still pick up the phone and speak to someone if they prefer.
Philipp Buschmann, co-founder and CEO of AAZZUR on how the customer becomes the investor with Embedded Finance at the heart of the wealth management revolution
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Wealth management has traditionally been a game for the well-off. It often requires large sums of money just to get started. For decades, the idea of “investing” conjured up images of Wall Street brokers managing hefty portfolios for a small group of elite individuals. But, thanks to Embedded Finance, times are changing and the barriers to investing are coming down. The technology is reshaping how people handle their money. Here’s what it can do for you.
Tackling the investment problem
Historically, investing hasn’t been easy. Most brokers require a significant minimum deposit to open an account, often in the thousands. Fees and commissions on trades can add up quickly, and if you don’t have a large amount of capital, these costs can erode your profits. For many, these hurdles were enough to keep them from even thinking about investing. It simply didn’t feel like something for “ordinary” people with average incomes.
Even with the rise of online brokers, the stock market has remained intimidating to a lot of people, many of whom felt like they lacked the knowledge or resources to get involved.
On top of the classical challenges we must also discuss the upcoming wealth transfer. The next generation of users have no interest in sitting with wealth managers; at the same time they don’t have the knowhow to trade or invest.
Imagine being able to not only excite your customers but empower them as well. That’s what embedded finance solutions promise. As companies strive towards more inclusive messaging, adopting embedded finance tools has never been more valuable. One of the great perks is that it doesn’t require a complete overhaul of IT infrastructure, instead, it involves a seamless experience that even junior employees can understand and implement.
Embracing the solution with Embedded Finance
I’ve said it’s easy – but how easy? Embedded finance works by bridging the gap between traditional financial systems and the average consumer. By integrating financial services directly into everyday apps and platforms, it makes it possible for people to start investing without even realising they’re doing it. Monzo is an example of it in action. They used embedded finance solutions to enable customers to invest directly in the bank during its fundraising rounds. They raised millions by allowing users of the app to seamlessly invest and become shareholders, a great example of how “the customer becomes the investor”.
Think about how your business manages its money. You most likely use an app to track accounts and make payments. This is no different to customer budgeting, and it’s a window of opportunity for you to tap into. That app can offer you the ability to automatically invest any leftover money at the end of the month into a diversified portfolio. Customers don’t need to download a separate app or set up an account with a brokerage firm. Everything is integrated into the website they’re shopping on. This is the beauty of embedded finance – it makes financial services a natural part of your daily life.
For younger people just starting out on lower salaries and learning how to invest sensibly, there has never been a greater time to be innovative and branch out into financial services.
The second vector for investment is to centre it around a new social frame. Investment’s can be around supporting your ideals, for the environment, or for technologies sake. This means that there are apps/club/activities that can become another home for investment. The same way country clubs aren’t just for food, golf and banter. Embedded finance opens the door for classically aligned companies and charities to think about expanding their business model. I could imagine Greenpeace offering embedded investing. So, could the country club co-invest in art that is displayed (but also invested) in.
Equalising opportunity with Embedded Finance
Embedded finance allows financial services to be delivered in a more personalised, user-friendly way. Apps can now provide personalised investment recommendations based on a user’s spending habits, savings goals, and risk tolerance. And thanks to automation, these services are becoming more affordable and scalable. Instead of paying for an expensive financial advisor, users can rely on AI-driven tools to offer similar advice for a fraction of the cost, or even for free. Wealthfront does this by offering automated financial planning and investment management with AI-driven recommendations and tax optimisation strategies.
GoHenry is another example of a company taking the initiative and embracing its solutions. They allow customers to invest in the company using the Crowdcube platform. People can invest in as little as they want and become shareholders with ease. As a result, loyalty is enhanced and capital surges.
Another example is fractional investing. In the past, buying a single share of a company like Amazon or Tesla might have been out of reach for someone with limited funds. However, this no longer has to be the case as companies like Robinhood allow customers to invest in big stocks like Tesla for as little as £1, making it possible for anyone to grow their wealth without having to stretch themselves and get into debt.
What does the future hold?
As embedded finance continues to evolve, we can anticipate even more innovations in the world of micro-investing and wealth management. The lines between financial services and everyday life will continue to blur, making it easier than ever for people to manage their money, invest, and build wealth – all without needing a financial background or a large amount of capital.
Philipp Buschmann is co-Founder and CEO at AAZZUR, a one-stop-shop for smart embedded finance experience. Recognised as a rising star in the FinTech space, AAZZUR’s mission is to build profitable banking whilst at the same time empowering consumers to have access to better informed financial choices.
Philipp is a serial entrepreneur with extensive experience of working in Challenger Banking, Financial Services, IT and Energy across the world. He took one of his business’s public – Ignis Petroleum was publicly listed in the US and Germany.
Having started as a developer in Financial Services, Philipp has first-hand experience of the banking revolution from both a technology and financial perspective. His interest in behavioural economics helped inspire AAZZUR’s revolutionary work on customer centricity in banking.
Philipp holds an MBA from the London Business School. He is passionate about entrepreneurship and loves exchanging ideas, insights and discussing FinTech’s future. He has spoken at major Fintech events including Money 20/20, MoneyLive, Finovate, Fintech Matters, and the Future of Retail Banking.
Cullen Zandstra, CTO at FloQast on mitigating the risks of AI to deliver benefits to financial services
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There’s a lot of buzz around Generative AI (GenAI). What’s not always heard beneath the noise are the very real and serious risks of this fast-developing AI tech. Let alone ways to mitigate these emerging threats.
Currently, one quarter (26%) of accounting and bookkeeping practices in the UK have now adopted GenAI in some capacity. That figure is predicted to grow for many years to come.
With this in mind, and as we hit the crest of the GenAI hype cycle, it’s critically important that leaders focus closely on the potential risks of AI deployment. They need to proactively prepare to mitigate them, rather than picking up the pieces after an incident.
Navigating the risky transition to AI
The benefits of AI are well-proven. For finance teams, AI is a powerup that unlocks major performance and efficiency boosts. It significantly enhances their ability to generate actionable insights swiftly and accurately, facilitating faster decision-making. AI isn’t here to take over but to augment the employees’ capabilities. Ultimately improving leaders’ trust in the reliability of financial reporting.
One of the most exciting aspects of AI is its potential to enable organisations to do more with less. Which, in the context of an ongoing talent shortage in accounting, is what all finance leaders are seeking to do right now. By automating routine tasks, AI empowers accountants to focus on higher-level analysis and strategic initiative, whilst drawing on fewer resources. GenAI models can help to perform routine, but important tasks. These include producing reports for key stakeholders and ensuring critical information is effectively and quickly communicated. It enables timely and precise access to business information, helping leaders to make better decisions.
However, GenAI also represents a new source of risk that is not always well understood. We know that threat actors are using GenAI to produce exploits and malware. Simultaneously levelling up their capabilities and lowering the barrier of entry for lower-skilled hackers. The GenAI models that power chatbots are vulnerable to a growing range of threats. These include prompt injection attacks, which trick AI into handing over sensitive data or generating malicious outputs.
Unfortunately, it’s not just the bad guys who can do damage to (and with) AI models. With great productivity comes great responsibility. Even an ambitious, forward-thinking, and well-meaning finance team could innocently deploy the technology. They could inadvertently make mistakes that cause major damage to their organisation. Poorly managed AI tools can expose sensitive company and customer financial data, increasing the risk of data breaches.
De-risking AI implementation
There is no technical solution you can buy to eliminate doubt and achieve 100% trust in sources of data with one press of a button. Neither is there a prompt you can enter into a large language model (LLM).
The integrity, accuracy, and availability of financial data are of paramount importance during the close and other core accountancy processes. Hallucinations (another word for “mistakes”) cannot be tolerated. Tech can solve some of the challenges around data needed to eliminate hallucinations – but we’ll always need humans in the loop.
True human oversight is required to make sure AI systems are making the right decisions. We must balance effectiveness with an ethical approach. As a result, the judgment of skilled employees is irreplaceable and is likely to remain so for the foreseeable future. Unless there is a sudden, unpredicted quantum leap in the power of AI models. It’s crucial that AI complements our work, enhancing rather than compromising the trust in financial reporting.
A new era of collaboration
As finance teams enhance their operations with AI, they will need to reach across their organisations to forge new connections and collaborate closely with security teams. Traditionally viewed as number-crunchers, accountants are now poised to drive strategic value by integrating advanced technologies securely. The accelerating adoption of GenAI is an opportunity to forge links between departments which may not always have worked closely together in the past.
By fostering a collaborative environment between finance and security teams, businesses can develop robust AI solutions. They can boost efficiency and deliver strategic benefits while safeguarding against potential threats. This partnership is essential for creating a secure foundation for growth.
AI in accountancy: The road forward
The accounting profession stands on the threshold of an era of AI-driven growth. Professionals who embrace and understand this technology will find themselves indispensable.
However, as we incorporate AI into our workflows, it is crucial to ensure GenAI is implemented safely and does not introduce security risks. By establishing robust safeguards and adhering to best practices in AI deployment, we can protect sensitive financial information and uphold the integrity of our profession. Embracing AI responsibly ensures we harness its full potential while guarding against vulnerabilities, leading our organisations confidently into the future.
Founded in 2013, FloQast is the leading cloud-based accounting transformation platform created by accountants, for accountants. FloQast brings AI and automation innovation into everyday accounting workflows, empowering accountants to work better together and perform their tasks with greater efficiency and accuracy. Now controllers and accountants can spend more time delivering greater strategic value while enjoying a better work-life balance.
Will Rolph, Business Development Manager at Clear Junction, takes a closer look at the tech making digital remittances possible
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Digital remittances are one of the main forces driving financial inclusion. Over 200 million migrant workers send money home every year. FinTech as a force for good can create positive changes for individuals and businesses; remittances are a prime example. Their role in facilitating financial inclusion cannot be underestimated. By increasing people’s purchasing power, raising per capita incomes, and feeding into local and national economic growth.
By 2027 remittances could reach $1.2 trillion, with the potential to unleash profound transformations in their recipient societies. Many factors are driving this growth. These include increasing waves of migration, none are as influential as the proliferation of innovative technology making remittances easier to send and receive. And at much lower cost than traditional money transfer channels beset by high FX fees and sluggish settlement times.
For decades, remittances were dominated by a few players including Western Union and MoneyGram. They have enviable global reach and networks. However, recipients – especially those in rural and remote locations – were faced with a lack of physical offices on the ground where they could collect their remittances. It was common for recipients to have to travel long distances to get their money. The loss of time and convenience is obvious. These often arduous journeys also came with increased risk of theft or loss of funds along the way.
The lack of physical infrastructure soon became a problem that tech was perfectly placed to solve. It did so in a way that allowed mobile payments to leapfrog legacy infrastructure issues with ease.
What’s powering digital remittances?
The tech behind digital remittances is a complex ecosystem that has evolved significantly over time. Furthermore, the pace of innovation shows no sign of slowing down. There are several key technologies and methods involved in advanced remittance solutions.
Electronic Funds Transfer (EFT) is a method of transferring money from one bank account to another electronically. Remittance services often utilise EFT to move funds between the sender’s bank account and the recipient’s bank account or designated payout location.
Payment gateways are another crucial component. These online platforms facilitate the transfer of funds between parties. They securely process transactions, verify payment information, and transfer funds between the sender and the recipient.
Remittance providers often integrate with banks, payment gateways, and other financial institutions via APIs (application programming interfaces). This facilitates access to banking infrastructure and fund transfers. The APIs enable real-time transaction processing, status updates, and seamless connectivity between the remittance platform and other financial services.
Security is paramount when it comes to remittance transactions. Remittance platforms employ encryption tech to secure data transmission and storage. This protects sensitive financial information and prevents fraud. Secure Socket Layer (SSL) encryption, Transport Layer Security (TLS), and multi-factor authentication are commonly used to safeguard transactions and user data.
These technological advances have all played their part in helping remittances to proliferate. People who were out of reach can now access a wide array of sophisticated financial services all from their phone thanks to the neobanking revolution.
Three tech trends taking digital remittances to the next level:
Super Apps
The main innovation that has sent remittances skyrocketing is the phenomenal adoption of smartphones, which has paved the way for the rise of money transfer super apps.
The importance of the smartphone in the global remittance market cannot be understated. By necessity, apps need to be user-friendly and easy to navigate to succeed. Apps play a crucial role in improving the remittance process. They offer the speed, cost efficiency, and security that users have come to expect. Furthermore, remittance apps often provide features that allow users to track their transfers in real-time and manage their transaction history easily. This helps in budgeting and financial planning, especially for those who send remittances regularly.
Most importantly, 4G or 5G networks mean such apps can reach users in remote or underserved areas where access to broadband internet infrastructure or traditional banking services is limited or non-existent. This accessibility is in turn driving inclusivity and promoting financial participation and empowerment among a broader segment of the population.
Eastern Europe serves as a good example of where this technology is particularly life changing. Across the continent, banking penetration rates range between 44% in Albania to 92% in Croatia. So, a key challenge and focus for banks, governments, and tech solution providers is driving greater financial inclusion, and improving remittance flows are key to this.
Blockchain
Just as cryptocurrencies use blockchain technology to track assets, some remittance providers are now leveraging the same technology to streamline the transfer process and enhance security.
Blockchain technology enables secure, transparent, and immutable record-keeping of transactions. This reduces the risk of fraud, enhancing trust between parties. Cryptocurrencies like Bitcoin and stablecoins are sometimes used for remittance purposes, leveraging blockchain technology for fast and low-cost digital cross-border transfers.
It’s easy to see the attraction of blockchain technology for remittance providers. Moreover, it is a fully encrypted, decentralised, and immutable ledger, and as such cannot be altered in any way. Also, because blockchain technology is decentralised, no intermediary bank or financial institution can get involved. For these reasons, blockchain could become crucial to the remittance industry in the coming years.
Artificial Intelligence & Machine Learning
There are few industries not being impacted by AI and ML technologies. Both are increasingly being employed in remittance services to detect fraudulent activities, improve compliance with regulatory requirements, and enhance user experience. Furthermore, these technologies analyse transaction patterns, identify anomalies, and provide insights to prevent fraudulent transactions and ensure regulatory compliance.
Why all of this digital transformation matters
Remittances play a vital role in both individual livelihoods and broader economic development efforts. This makes them an essential aspect of global economic relations and poverty alleviation strategies. Additionally, we can see the tangible, life-changing differences that payment technology evolution can achieve. Moreover, through increased household purchasing power, accessing formal and cheaper financial services, and indirectly through increased revenues for remittance service providers and the businesses people buy from.
Clear Junction is a global payments solutions provider that was established in 2016. The company was founded by a veteran team of financial professionals with many years of experience in cross-border payments and banking. Over the years, we have worked tirelessly to build and develop our own proprietary technology to facilitate an end-to-end regulated payments solution. We are licensed and regulated by the Financial Conduct Authority and have offices in multiple locations across the UK and Europe, including London, Poland and Latvia.
Russ Rawlings, RVP, Enterprise, UK&I at Databricks, on the future of AI in FinTech
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Strict regulation, along with time and cost restraints, means financial services must take a measured approach to technological advancements. However, with the emergence of GenAI, particularly large language models (LLMs), organisations have an opportunity to maximise the value of their data to streamline internal operations and enhance efficiencies.
Embracing GenAI has never been more important for organisations looking to stay ahead of the curve. 40-60% of the global workforce will be impacted by the growth of AI. Moreover, global adoption of GenAI could add the equivalent of $2.6tn to $4.4tn in value annually to global industries. The banking sector stands to gain between $200-340 billion.
But whilst the financial services industry can gain incredible benefits from GenAI, adoption is not without its challenges. Financial organisations must prioritise responsible data management. They must also navigate strict privacy regulations and carefully curate the information they use to train their models. But, for companies that persevere through these obstacles, the benefits will be substantial.
Building customised LLMs for financial services
Consumer chatbots have brought GenAI to the mainstream. Meanwhile, the true potential of this transformative technology lies in its ability to be tailored to the unique needs of any organisation, in any industry. Including the financial sector.
Risk assessment, fraud prevention, and delivering personalised customer experiences are some of the use cases of custom open source models. Created using a company’s proprietary data, these models ensure relevant and accurate results. And are more cost-effective due to their smaller datasets. For instance, banks can use a customised model to seamlessly analyse customer behaviour and flag up any suspicious or fraudulent activities. Or, a model can leverage sophisticated algorithms to assess an individual’s eligibility for a loan.
Another huge benefit of these tailored systems is trust and security. Deploying a custom open-source model eliminates the need to share sensitive information with third parties. This is crucial for organisations operating within such a highly regulated industry. This approach also democratises the training of custom models. Furthermore, it allows organisations to harness the power of GenAI whilst retaining control and compliance.
Using data intelligence to boost AI’s impact
To truly harness the power of GenAI, organisations must cultivate a deep understanding of data across the entire workforce. Every employee, regardless of how technical they are, must grasp the importance of proper data storage. Also how data can be used to improve decision-making.
Organisations can use a data intelligence platform to help implement this. Built on a lakehouse architecture, a data intelligence platform provides an open, unified foundation for all data and governance. It operates as a secure end-to-end solution tailored to the specific needs of the financial services industry. By adopting such a platform, businesses can eliminate their reliance on third party solutions for data analysis. They can create a streamlined approach to data governance and accelerate data-driven outcomes. Users across all levels of the business can navigate their organisation’s data, using GenAI to uncover important insights.
The future of AI in the financial sector
The path to success lies in embracing GenAI as a canvas for crafting bespoke solutions. Whilst no two financial institutions are exactly the same, the industry’s tools must strike a delicate balance between supporting specific use cases and addressing broader requirements, Customised, open source LLMs and data intelligence platforms hold the key, sparking transformative change across the sector. These tailored solutions will empower financial businesses to integrate cutting-edge innovations and ensure security, governance and customer satisfaction. Organisations that embrace this change will not only gain a competitive edge, but also pave the way for larger transformations, re-shaping the financial landscape and setting new standards for the industry.
Databricks is the data and AI company with origins in academia and the open source community. Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
PayPal Ventures, the global venture capital arm of PayPal, announced additional investment in Chaos Labs. This investment underscores PayPal Ventures’ confidence…
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PayPal Ventures, the global venture capital arm of PayPal, announced additional investment in Chaos Labs. This investment underscores PayPal Ventures’ confidence in Chaos Labs’ potential and their blockchain products.
Chaos Labs: Edge
Chaos Labs’ recent launch of Edge, a new decentralised oracle protocol, has garnered significant attention within the industry. Edge has already secured a remarkable $30 billion over the last 2 months. It has been adopted by leading exchanges such as Jupiter, the top perpetuals exchange on Solana. And also by GMX, the leading exchange on Arbitrum.
Edge offers a comprehensive, low-latency oracle solution. It combines accurate price data with actionable market intelligence. Its advanced architecture ensures the security and efficiency of DeFi applications. Furthermore, providing insights into market dynamics and security risks. Edge monitors the market for specific risk signals, performs the offchain data parsing and computation, and outputs one actionable data point.
Omer Goldberg, CEO and Founder of Chaos Labs on the PayPal Ventures investment
Omer Goldberg, CEO and Founder of Chaos Labs, said, “We’re excited to receive the strong confidence and additional support from the PayPal Ventures team. Edge by Chaos is the culmination of our entire company’s work and expertise. Edge Price, Risk, and Proofs deliver meaningful and unmatched contextualised risk and price data for assets including stablecoins and other real-world-assets. In addition to the crypto assets and venues that provide access to them.”
Last month, Chaos Labs announced a $55 million Series A funding round led by Haun Ventures, including prominent new investors such as F-Prime Capital, Slow Ventures, and Spartan Capital, and existing investors including PayPal Ventures. Chaos Labs has experienced significant growth, tripling its customer base and securing billions in trading volume, loans, and incentives.
PayPal committed to Blockchain
PayPal Ventures’ investment aligns with PayPal’s ongoing commitment to the blockchain ecosystem. In May 2024, PayPal launched its stablecoin, PYUSD, on the Solana blockchain.
Amman Bhasin, Partner at PayPal Ventures, said, “Our continued investment in Chaos Labs reflects our belief in their vision to create a safer crypto ecosystem. And move more financial services on chain. Chaos Labs has emerged as a leading risk authority in the sector and we are thrilled to witness their evolution as they launch innovative products like Edge to mitigate oracle vulnerabilities.”
About Chaos Labs
Chaos Labs leads the blockchain risk management industry with innovative solutions for the evolving onchain financial landscape. It enables protocols to verify stability across all market conditions, merging offchain observability with onchain risk parameter adjustments. Backed by leading venture capital firms, Chaos Labs continues to set new standards for security and responsiveness in onchain finance. Founded in 2021, Chaos Labs is headquartered in New York City.
About PayPal Ventures
PayPal Ventures is the global corporate venture arm of PayPal. We invest for financial return in companies at the forefront of innovation in fintech, commerce enablement, digital infrastructure, and crypto/blockchain technologies. Through the expertise, experience, and vast network of PayPal Ventures – and the companies we invest in – we are helping to bring transformative solutions to market faster. For more information, please visit: www.paypal.vc
Adam Edwards, Product and Growth Director at Satago on how embedded finance is helping drive digitisation for the B2B financial space
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Small and Medium Enterprises (SMEs) are at the heart of the UK economy. They contribute significantly to local employment and revenue across a wide array of sectors. However, the current economic landscape and consistently high inflation are inhibiting them from reaching their full potential.
Three key challenges which prevent SMEs from investing in growth are tight cash flow, poor access to capital and the late payments crisis. With over £32 billion in late payments plaguing them, SMEs need longer-term, meaningful policy action from the government, alongside better Working Capital solutions.
Investing in Embedded Finance
With a growing SME market needing better support than ever from lenders, banks are rapidly investing in IT adoption. Particularly, Embedded Finance tools, to better serve this sector. Indeed, analysts have forecast a staggering 148% growth in the Embedded Finance market. It is predicted to reach a revenue of $228 billion by 2028.
Banks have been quick to offer flexibility to consumers in the business-to-consumer (B2C) Embedded Finance space. Offering lots of options for flexible finance in response to high demand. However, the business-to-business (B2B) market has in many ways been slower.
There are certainly challenges here – but the opportunities are huge for the lenders that get this right to go on and serve the SME space. So, what can the B2B space learn from how Embedded Finance has succeeded in the B2C sector? And what are some of the benefits and new challenges that this investment could pose?
The role of Embedded Finance in supporting SMEs and founders
Embedded Finance emerges as an innovative approach to bolster SME support. It integrates financial services directly into non-financial platforms. This integration empowers SMEs to seamlessly access critical financial services. These include instant credit, streamlined payments processing, and optimised cash flow management. This enhances operational efficiency and financial resilience.
When we look at B2C financial services, we can see traditional banks working hard to catch up with challenger banks. These competitors have presented consumers with entirely new means to access digital banking, improve their visibility on financial information, and manage their funds and savings with secure API access.
This has forced traditional banks to digitise quickly in the B2C space to remain competitive and keep up with customer expectations. Embedded tools have become a key part of this. While the B2B financial services industry hasn’t traditionally faced the same level of market pressure to innovate – this is now starting to change. We will start to see the impact in a couple of ways.
I predict we will begin to see rapid growth in the number of partnerships between FinTech companies and B2B lenders. Where banks such as Barclays have already been partnering with the likes of Amazon on the consumer side for a long time to offer flexible payment capabilities, we will see a lot more similar partnerships starting to take place in the B2B space, to support the growing SME market. As a result, I anticipate a rise in the number of online marketplaces dedicated to the B2B lending space. We will also see increasingly niche market areas – such as agriculture and dedicated equipment manufacturers, for example.
The opportunities and challenges with Embedded Finance
There are several opportunities to be capitalised on via Embedded Finance in the B2B space. Lenders that have been held back by legacy systems in the past will now be able to offer a more flexible suite of digital finance options to customers, especially SMEs. SMEs, which may be run by a single founder or a small group of stakeholders, are likely to be used to an agile structure. They can take big decisions quickly and will be keen to be able to flexibly access financial tools. Through integration with expert providers, lenders can also benefit from new origination channels and access new pools of customers for bank accounts, financial consultancy and more.
For the fintech partners and integrators, including those providing white-labelled products to banks, there’s a chance to take advantage of the trust customers have in their banking providers. And the lenders’ brand reputations can increase their own revenue and future opportunities for sale.
Meanwhile, SMEs are set to reap the benefits of being able to offer better user and payment experiences to their own customers further up chain. They too, will benefit from better cash flow management, improved financial visibility and increased flexibility via different working capital tools. Just like consumers are able to – all of which will be facilitated by better digital tools.
However, it is worth acknowledging that as the B2B space grows, heightened concerns around fraud risk associated with financial transactions are also likely to emerge. Going forwards, we’ll see more analytics and artificial intelligence built into Embedded Finance. This will feed into underwriting models and support fraud checks. With more complex transactions and shared financial data via Embedded Finance partnerships, the risks of non-compliance could become more perilous. Therefore, there are certainly challenges ahead.
A competition for innovation in the B2B space
For SMEs to thrive, sustained and reliable access to cash flow is essential. Collaborative efforts between the government and the financial services industry are critical. Establishing robust regulatory frameworks and fostering innovation in Working Capital solutions will be vital.
The Embedded Finance market in over the next year and beyond can expect to see significant emphasis on B2B players, such as banks and corporate lenders. They are looking to catch up with the consumer market and serve SME customers with the most secure – and flexible – lending options.
Consumers have realised the benefits of seamless, digital financial services for themselves. We’ll now see demand growing as SMEs expect the same innovation and experience when it comes to their B2B financing. Lenders and banks that want to satisfy this growing pool of customers hungry for flexibility and sustainable lending support, will need to be willing to evolve and digitise, or risk missing out on the competition.
Satago is a leading fintech that enables lenders and corporates to streamline operations, boost revenue, and enhance their business customer experiences. This is achieved through cloud-native Working Capital and Cash Flow solutions, powered by real-time data, Open Banking, and API technology.
Luke Gall, Product & Engineering Director at Access PaySuite, part of the Access Group, on the open banking opportunity for FinTechs
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In the rapidly evolving landscape of financial services, Open Banking is no longer a futuristic concept but a present-day reality. Recent findings reveal that the adoption of Open Banking payments has surged, with 32% of financial services businesses and an impressive 58% of fintechs now offering this innovative payment method to their customers.
This uptake signifies a noteworthy shift for fintechs. Open Banking payments have overtaken Direct Debits (54%) and card payments made over the phone (4%) in terms of availability. The sector continues to expand at a remarkable pace. There are over 26,000 startups currently in operation globally. Understanding and leveraging Open Banking has become an increasingly crucial consideration for organisations to stay ahead in a competitive market.
The rise of Open Banking
Open Banking allows third-party financial service providers to access banking data and initiate digital payments on behalf of customers, provided they have explicit consent. This model not only enhances convenience for users, but also fosters greater competition and innovation within the financial sector. The growing adoption rates reflect a broader acceptance of this technology. It is driven by the potential to streamline payments, enhance user experiences, and offer personalised financial services.
In the UK, FinTech adoption is particularly robust – 84% of individuals use FinTech services daily. The push towards Open Banking is both a response to consumer demand and a strategic move for FinTechs to differentiate themselves. The rise in Open Banking adoption is a signal that financial services must adapt swiftly. For FinTechs, staying ahead involves more than just adopting new technology. It’s about leveraging tech to redefine and enhance service offerings.
Why FinTechs must embrace Open Banking
Today’s consumers demand seamless and efficient financial transactions in order to complete their purchases. Open Banking meets these expectations by enabling quicker and more secure payments. FinTechs can provide this to their customers by integrating Open Banking into their services. This significantly enhances customer satisfaction and fosters loyalty.
The rapid adoption of Open Banking by FinTechs highlights its growing importance. Those that hesitate or overlook this trend risk falling behind. Early adopters of Open Banking have the opportunity to leverage its capabilities to introduce distinctive features. These include instant account verification, real-time payments, and enhanced financial insights. It’s a crowded marketplace for FinTechs, but these advancements can deliver a competitive edge.
By granting access to banking data, Open Banking creates the possibility for FinTechs to work with other financial service providers in a collaborative environment. Around 82% of FinTech startups say this helps them to innovate more quickly and effectively. The ability to partner with others in the industry can encourage the development of novel solutions and services. These can be pecifically tailored to evolving consumer needs.
The role of third-party payment providers
Third-party payment providers play a crucial role in helping FinTechs adopt Open Banking. They do this by offering the infrastructure and expertise needed to integrate with banks and other financial institutions. These providers facilitate secure access to customer data through APIs. This enables FinTechs to deliver innovative services like personalised financial management and account aggregation. And all without the need to build costly systems from scratch.
By leveraging the established networks and compliance frameworks of third-party providers, FinTechs can more easily meet regulatory requirements. Such as those outlined in the Revised Payment Services Directive (PSD2). This allows them to scale faster and focus on enhancing the customer experience. By prioritising simplicity and convenience, FinTechs can not only improve user satisfaction but also ensure their Open Banking offerings meet the high expectations of today’s consumers.
However, FinTechs must recognise not all customers are familiar with the nuances of Open Banking. To ensure a smooth transition and maximise the benefits of this technology, financial service providers, including FinTechs, should invest in educating their customers about its advantages and functionality. This will empower users to confidently engage with Open Banking and fully leverage its potential.
At the same time, safeguarding sensitive financial data is critical to building and maintaining this trust. Robust security measures, such as strong encryption protocols like Advanced Encryption Standard (AES) and Data Encryption Standard (DES), are essential to protect data during transmission and storage. Regular security audits help identify and address vulnerabilities. Meanwhile, transparent privacy policies demonstrate a commitment to data protection.
The future of Open Banking
The trajectory of Open Banking is set to continue its upward trend, as more financial institutions and FinTechs embrace its potential. For FinTechs, this is an opportunity to lead the charge in transforming financial services. By understanding and addressing the key factors associated with adoption, FinTechs can not only stay relevant, but also drive the future of financial technology.
Embracing Open Banking is not just about keeping up with industry trends… It’s also about positioning yourself at the forefront of a financial revolution. The ability to offer innovative, secure, and user-centric services will define the next wave of FinTech success. In this dynamic environment, staying ahead of the curve requires foresight, adaptability, and a commitment to leveraging technological advancements. FinTechs that navigate these considerations effectively will not only thrive but also shape the future of financial services.
Why Access PaySuite? Getting paid should be simple – and that’s where we come in! Backed by The Access Group a top 5 UK software company, Access PaySuite is led by a team of payments experts with over 20 years’ of experience in the industry. Access PaySuite is a reliable, resilient solution that helps your business thrive with every payment.
FinTech Strategy spoke with Zak Lambert, Product Lead for Plaid in Europe, to find out more about the world-leading data network and payments platform
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Plaid offers the world’s largest open finance platform. Plaid specialises in bank connectivity and provides a single API for customers to integrate with banks around the world. They have had innovative success stories working with companies like Western Union and MoneyBox. Plaid see opportunities around current trends such as account-to-account payments, variable recurring payments, and cash flow underwriting for businesses and consumers.
At Money20/20 Europe, FinTech Strategy spoke with Plaid’s Product Lead for Europe, Zak Lambert, to learn more…
Tell us about Plaid…
“I work in product management for Plaid in Europe. We’re the world’s largest open finance platform operating across 20 markets in Europe and North America. Back in 2019 when we first launched in Europe our bread and butter was bank connectivity. Integrating with over 10,000 banks through a single API. We still provide that connectivity in one API for our customers. Millions of users go through that journey every day for a number of different use cases.
“I was part of the team that started Plaid in New York and opened the office there. I did a variety of things from helping customers integrate, building new products, working with sales teams, and anything else that would help us grow, About a year after that, I moved over to London to be the first person on the ground there. Fast forward five years and I’m delighted to be the head of product in Europe. I’ve been with the company for about five and a half years. Overall, it’s just been an exciting journey from a hundred people to more than a thousand now.”
Talk about some of the successful integrations Plaid is involved in…
“We recently announced that we’re working with Western Union across Europe to fund transfers, whether that’s someone depositing in the UK and Germany, Italy or Spain. Plaid is powering account to account payments for Western Union across their various use cases. Particularly when you look at the growing trend around account-to-account payments and pay by bank, we’re thrilled to be working with brands of that caliber. Since launch we’ve seen hockey stick growth for their customer adoption of pay by bank. This shows trust and reliability of the open banking ecosystem which we’re excited to be a part of. We are also delighted to be supporting MoneyBox, one of the largest fintechs in the UK. They handle millions of transactions to fund and create ISAs. Moneybox have launched VRP (Variable Recurring Payments) through Plaid in order to optimise their customer flows and have more reliability in customer recurring payments. With our new flow, users can go through the journey once, set up their consent, and then money can move in the background. It’s like a card on file with a bank account. We see this as a significant trend in the coming years in the UK specifically, and then across Europe as that product set develops.”
What trends are you seeing across the FinTech landscape? What opportunities do you see for Plaid?
The UK has always been an early adopter of open banking but we’re now seeing a surge in demand from mainland Europe. We are currently live in 18 markets in Europe and continue to focus on our reliability and depth in each market to ensure we can meet that demand.
This year, we’ve learned more about how our customers want to use VRP (Variable Recurring Payments). In June, we launched Moneybox’s VRP proposition to enable them to relaunch their Payday Boost offering which was previously restricted by direct debit limitations. Every week we’re having more and more conversations on VRP use cases.
We’re also excited about how open banking and fintech more broadly can help make financial access more inclusive. For example, open banking can help the underserved get more access to credit by using real-time data to inform underwriting decisions. At Plaid, we’ve built specific products to do this such as the Financial Insights Report that companies such as Capital on Tap are already using to inform their decisioning programmes.
And what’s next for Plaid? What future launches and initiatives are you particularly excited about?
“There are three areas I would highlight… First, pay by bank globally for Plaid. You look at Western Union, they’re probably not the first company to adopt something, but the second they adopt something it probably is about to hit mainstream. That’s significant volume. They’re one of the world’s oldest companies. They’ve been fantastic to work with. So, as that trust and familiarity start coming into play, people that aren’t Western Union come and say, okay, we’ve seen this experience. It was really good. We want it now. We’re working with our teams across the globe to bring that to life for North America and Europe in the simplest way possible. It’s really exciting.
“Second, we have the significant opportunity to bring lending into the 21st century. Particularly because of the third thing, which is the Plaid network. We’ve touched hundreds of millions of consumers. We’ve spent a long time building products to make payments easy and to make underwriting easy. And now we’re in the third phase… We have all of these users, this large network, so how can we make this even simpler for people? And just giving smoother experiences when the user is actually in the workflow. So, boosting conversion, delivering network style experiences in the same way that other network businesses do.”
Why Money20/20? What is it about this particular event that makes it the perfect place to showcase what you do? How has the response been to Plaid?
“This is my sixth straight Money20/20 and it gets busier every year! It’s great to learn more about the ecosystem at large. You can see developing trends each year, and it’s always a little bit different. You build relationships at Money20/20 that stay with you for the rest of your life. And it’s a perfect opportunity to meet people in the flesh that you might normally only see on screen. You can get a pretty direct read on what they’re working on and it’s exciting to be here making new connections.”
Henry Balani, Global Head of Industry & Regulatory Affairs at Encompass Corporation, on meeting the demand for improved risk management, operational efficiency, and customer service with pKYC
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The traditional banking and finance industry is evolving. Processes are experiencing a digital transformation as a result of perpetual Know Your Customer (pKYC). The pKYC approach enables modern banks to continuously update and verify customer information in real time. Banks are moving away from the reliance on periodic reviews. This change is driven by technological advancements. And the increasing demand for dynamic and responsive regulatory compliance mechanisms.
Perpetual KYC
Conventional KYC processes commonly involve periodic reviews of customer information at fixed intervals. These reviews are typically conducted every one, three, or five years. While these reviews are thorough and comprehensive, they are also static. This can result in outdated information, potentially overlooking changes in customer risk profiles or new compliance requirements.
On the other hand, perpetual KYC is dynamic and event driven. Through its continuous and automated approach, pKYC enables financial institutions to address risks and compliance needs in real-time. These risks can be determined by continuously monitoring customer activities. Furthermore, automatically updating profiles in response to specific triggers, including changes in personal information, significant transactions, or alterations in beneficial ownership.
Gaining a competitive advantage with pKYC
By leveraging pKYC, banks, and other regulated financial institutions can take advantage of a range of benefits. These are crucial in the modern digital era to gain a competitive edge. Through continuous monitoring, pKYC enables financial institutions to identify and address potential risks promptly. This real-time approach helps mitigate risks associated with financial crimes. Moreover, it ensures compliance with the latest regulatory standards.
pKYC will lead to operational efficiency and cost reduction. By automating many of the manual processes involved in KYC, pKYC significantly reduces the time and resources needed for compliance. This allows financial institutions to focus their efforts on high-risk cases, rather than conducting blanket reviews for all customers, resulting in substantial cost savings.
This process also enables many banks to improve their customer service and management. It also enhances the customer’s experience. With pKYC, customers are not subjected to frequent, intrusive reviews if their profiles remain stable. This results in a smoother and more positive customer experience, potentially increasing overall customer satisfaction and loyalty. Additionally, automated systems minimise human error and ensure consistency in applying KYC policies. This enhances overall regulatory compliance and reduces the risk of non-compliance penalties.
Perpetual KYC implementation: Challenges and considerations
Implementing a pKYC operating model is not straightforward. It requires the right blend of infrastructure and operating process. Every firm’s pKYC journey and ecosystem will be unique and cut across people, processes and technologies.
Data is central to the success of pKYC as reviews based on event changes (aka event driven triggers) will not be effective if client information is outdated, missing or incorrect. Without consistent access to relevant and accurate client information, pKYC is impossible. Corporate Digital Identity (CDI) is fast emerging as a foundation for ensuring valid customer information is collected for successful pKYC operations.
Being able to leverage this data requires an ecosystem of technology, which may be developed in house, utilising third-party RegTech providers, or a combination of both. This technology should drive how data is stored, structured and accessed so that pKYC triggers can be comprehensively managed. Customer lifecycle management systems (CLMs) are particularly relevant to pKYC as they connect all components along the workflow processes.
Importantly, overarching executive sponsorship is needed to ensure a successful outcome in transformation initiatives. Recognising the structural and cross departmental challenge, influential sponsors will align the multiple stakeholders involved in driving this change and will champion a firm’s pKYC strategy and approach to regulators and other key stakeholders.
Ultimately, pKYC must be future-proof and scalable, ready to adapt in line with business strategy and regulation to keep firms competitive.
The future of pKYC
The adoption of pKYC is growing, driven by regulatory pressures and the increasing complexity of financial crimes. Financial institutions are recognising the benefits of a proactive, real-time approach to compliance and risk management. The move towards pKYC is seen as a necessary evolution to stay ahead in a highly regulated and competitive financial environment.
As the technological landscape continues to evolve, integrating advanced technologies such as blockchain and further developments in AI and ML will likely enhance pKYC systems’ capabilities. Ensuring higher levels of compliance and risk mitigation, these technologies are able to provide more robust and secure mechanisms for customer verification and monitoring.
Blockchain technology can be utilised to further improve the initial customer authentication and validation process. As a result, we can expect improvements and advancements in the quality of customer data collected during initial customer onboarding processes. Financial institutions can then leverage AI-enhanced tools that can identify and collect the necessary attributes during document processing stages. This ensures that pKYC will utilise relevant, accurate, and up-to-date data. Perpetual KYC represents a significant departure from traditional, periodic KYC, as it offers a wide range of benefits in real-time risk management, operational efficiency, and customer experience. Although the implementation of pKYC poses certain challenges, it also provides numerous advantages, making it an increasingly attractive solution for financial institutions aiming to enhance their compliance and risk management frameworks and maintain a competitive edge in a rapidly evolving regulator landscape.
Tetyana Golovata, Head of Regulatory Compliance at IFX Payments, on builidng compliance into business culture
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Regulation plays a critical role in shaping the fintech landscape. From Consumer Duty and FCA annual risk reporting to APP fraud, the tectonic plates of the sector are shifting. Whether you consider these regulations as benefiting or hindering the industry, businesses are struggling to keep up.
According to research by fraud prevention fintech Alloy, 93% of respondents said they found it challenging to meet compliance requirements. In a new study by Davies a third of financial leaders (36%) said their firms had been penalised for compliance breaches in the year to June. The FCA brings in its operational resilience rules in March 2025. So, it is more important than ever to ensure your company makes the grade on compliance.
Learning lessons from history
Traditionally, FX has struggled with the challenge of reporting in an ever-developing sector. As regulatory raise the bar on compliance, responsible providers must help the industry navigate the changes and upcoming deadlines.
Fintechs and payments companies are entering uncharted waters. They face pressure to beat rivals by offering more innovative products. Regulators have struggled to keep up in the past. Gaps in legislation have allowed some opportunists to slip between the net, as seen in the collapse of FTX. Because of this, implementation and standardisation of the rules is necessary. This ensures innovation remains seen as a force for good, and to help identify and stamp out illegal activity.
Culture vs Business
Culture has become a prominent factor in regulatory news. We have seen cases of large fines and public censure relating to cultural issues. FCA COO Emily Shepperd observed in a speech to the finance industry, “Culture is what you do when no one is looking”.
Top-level commitment is crucial when it comes to organisational culture. Conduct and culture are closely intertwined. Culture is not merely a tick-box exercise. It is not defined by perks like snack bars or Friday pizzas. Rather, it should be demonstrated in every aspect of the organisation, including processes, people, counterparties, and third parties.
In recent years, regulatory focus has shifted from ethics to culture. Recognising its crucial role in building market reputation and ensuring compliance with rules and regulations. Furthermore, boosting client confidence, and retaining employees. The evolving regulatory landscape has significantly impacted e-money and payments firms. Moreover, regulations are strengthening each year. Each regulation carries elements of culture, as seen in:
Consumer duty: How do we treat our customers?
Operational resilience: How can we recover and prevent disruptions to our customers?
APP fraud: How do we protect our customers?
Culture Drivers
Key drivers of culture include implementing policies on remuneration, conflicts of interest, and whistleblowing. However, for it to become embedded it must touch employees at every level.
This is showcased by senior stakeholders and heads of departments facilitating close relationships with colleagues across a company’s Sales, Operations, Tech and Product teams to build a collaborative environment.
Finance firms must recognise the trust bestowed on them by their customers and ensure the protection of their investments and data is paramount. Consumer Duty may have been a wake-up call for some companies, but progressive regulation must always be embraced and their requirements seen as a baseline rather than a hurdle.
Similarly, the strengthening of operational resilience rules and the upcoming APP fraud regulation in October are to be welcomed, increasing transparency for customers.
Compliance vs Business
Following regulatory laws is often viewed as a financial and resource drain, but without proper compliance, companies are vulnerable to situations where vast amounts of money can be lost quickly.
A case in point is the proposed reimbursal requirement for APP fraud, which will mean payment firms could face having to pay compensation of up to £415,000 per case.
Complying not only safeguards the client and their money, but also the business itself. About nine in ten (88%) financial services firms have reported an increased compliance cost over the past five years, according to research from SteelEye. Embedding compliance earlier in business cultures can be beneficial in the long run, cutting the time and money needed to adapt to new regulations and preventing the stress of having to make wholesale changes rapidly.
Building a cross-business compliance culture
Compliance is a key principle at IFX Payments, and we strive to be a champion in this area. In response to these challenges, the business restructured, establishing dedicated risk and regulatory departments, along with an internal audit function.
Regulatory compliance aims to support innovation by developing and using new tools, standards, and approaches to foster innovation and ensure product safety, efficacy, and quality. It has helped the firm to navigate the regulatory landscape while driving growth and maintaining high standards.
This organisational shift allowed each business line to own its own risk, with department partaking in tailored workshops designed to identify existing, new, and potential risk exposure. Shared responsibility for compliance is the only way to create a culture which values it. We see this as a great way for organisations to drive innovation while sticking to the rules.
Pat Bermingham, CEO of B2B digital payment specialist Adflex, asks what impact will Artificial Intelligence really have on B2B payments?
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Visit any social media newsfeed and countless posts will tell you AI means “nothing will ever be the same again”. Or even that “you’re doing AI wrong”. The volume of hyperbolic opinions being pushed makes it almost impossible for businesses to decipher between hype and reality.
This is an issue the European Union’s ‘AI Act’ (the Act), which came into force on 1 August 2024, aims to address. The Act is the world’s first regulation on artificial intelligence. It sets out how to govern the deployment and use of AI systems. The Act recognises the transformative potential AI can have for financial services, while also acknowledging its limitations and risks.
Within the debate about AI in financial services, B2B payments are an area where AI has huge potential to accelerate digital innovation. Let’s go beyond the hype to provide a true perspective on what AI really means for B2B payments specifically.
Understanding what AI is, and what it isn’t
AI is a system or systems that can perform tasks that normally require human intelligence. It incorporates machine learning (ML). ML has been used by developers for years to give computers the ability to learn without being explicitly programmed. In other words, the system can look at data and analyse it to refine functions and outcomes.
A newer part of this is ‘deep learning’, which leverages multi-layered neural networks. This simulates the complex decision-making power of our brains. The deep learning benefits outlined later in this article are based on Large Language Models (LLMs). LLMs are pre-trained on representative data (such as payment/transaction/tender data). Deep learning AI does not just look at and learn patterns of behaviour from the data. It is becoming capable of making informed decisions based on this data.
Before we explore what this means for B2B payments, let’s make one caveat clear: human supervision is still needed to ensure the smooth running of operations. AI is a supporting tool, not a single answer to every question. The technology is still maturing. You cannot hand over the keys to your B2B payments process quite yet. Manual processes will retain their place in B2B payments. AI tools will help you learn, adapt and improve more quickly and at scale.
The AI Act – what you need to know
The Act attempts to categorise different AI systems based on potential impact and risk. The two key risk categories include:
Unacceptable risk – AI systems deemed a threat to people, which will be banned. This includes systems involved in cognitive behavioural manipulation, social scoring, and real-time biometric identification.
High risk – AI systems that negatively affect safety or fundamental rights. High-risk AI systems will undergo rigorous assessment and must adhere to stringent regulatory standards before being put on the market. These high risk systems will be divided into two further categories:
AI systems that are used in products falling under the EU’s product safety legislation, including toys, aviation, cars, medical devices and lifts.
AI systems falling into specific areas that will have to be registered in an EU database.
The most widely used form of AI currently, ‘generative AI’ (think ChatGPT, Copilot and Gemini), won’t be classified as high-risk. However, it will have to comply with transparency requirements and EU copyright law.
High-impact general-purpose AI models that might pose systemic risk, such as GPT-4o, will have to undergo thorough evaluations. Any serious incidents would have to be reported to the European Commission.
The Act aims to become fully applicable by May 2026. Following consultations, amendments and the creation of ‘oversight agencies’ in each EU member state. Though, as early as November 2024, the EU will start banning ‘unacceptable risk’ AI systems. And by February 2025 the ‘codes of practice’ will be applied.
So, with the Act in mind, how can AI be used in a risk-free manner to optimise B2B payments?
Today’s B2B payment platforms are not one-size-fits-all solutions; instead, they provide a toolkit for businesses to customise their payment interactions.
AI-based LLMs and ML can be used by payment providers to rapidly understand and interpret the extensive data they have access to (such as invoices or receipts). By doing this, we gain insights into trends, buyer behaviour, risk analysis and anomaly detection. Without AI, this is a manual, time consuming task.
One tangible benefit of this data analysis for businesses comes from combining payment data with knowledge of a wide range of vendors’ skills, products and/or services. AI could then, for example, identify when an existing supplier is able to supply something currently being sourced elsewhere. By using one supplier for both products/services, the business saves through economies of scale.
Another benefit of data analysis comes from payment technology experts. Ours have been training one service to extract data from a purchase order or invoice, to flow level 3 data, which is tax evident in some territories. This automatically provides the buyer with more details of the transaction, including relevant tax information, invoice number, cost centre, and a breakdown of the products or service supplied. This makes it easy and straightforward to manage tax reporting and remittance, purchase control and reconciliation.
AI-driven data analysis isn’t just a time and money-saver, however. It also adds new value by enabling providers to use the data to create hyper-personalised payment experiences for each buyer or supplier. For example, AI and ML tools could look out for buying and selling opportunities, and perform a ‘matchmaking supplier enablement service’ that recommends the best payment methods – and the best rates – for different accounts or transactions. The more personalised a payment experience is, the happier the buyer and more likely they are to (re)purchase.
Efficient data flows mean stronger cash flows
Another practical application of AI is to help optimise cash management for buyers. This is done by using the data to determine who is strategically important and when to pay them. It could even recommend grouping certain invoices together for the same supplier, consolidating them into one payment per supplier, reducing interchange fees and driving down the cost of card acceptance.
AI can also perform predictive analysis for cash flow management, rapidly analysing historical payment data to predict cash flow trends, allowing businesses to anticipate and address potential challenges proactively. This is particularly valuable in the current economic climate where cashflow is utterly vital.
By extracting value-added, tax evident data from a purchase order or invoice, AI can rapidly analyse invoices and receipts to enable efficient, accurate automation of the VAT reclaims process. Imagine: the time comes for your finance team to reclaim VAT on recent invoices and receipts, but they don’t have to manually go through every receipt or invoices and categorise them into a reclaim pile or not reclaimable. It sounds like a dream but it will be the reality for business everywhere: AI does the heavy lifting and humans verify it, saving significant time and resources.
The third significant benefit of AI is automated invoice reconciliation. By identifying key information from an invoice and recognising regular payees, AI can streamline and automate the review process. This has the potential to significantly speed up transactions and enable more efficient payment orchestration.
Binding together all supporting paperwork, such as shipping, customs, routes, and JIT (just-in-time) requirements can also be done by AI, and it’s likely to be less prone to human error.
This provides an amazing opportunity to make B2B payments faster, reduce costs and increase efficiency. Businesses know this: 44% of mid-sized firms anticipate cost savings and enhanced cash flow as a direct result of implementing further automation within the next three years. According to American Express, 48% of mid-sized firms expect to see payment processes accelerate, with more reliable payments and a broader range of payment options emerging.
When. Not if.
There are significant opportunities to leverage AI in B2B payment processes, making it do the heavy lifting. It is, however, essential to view these opportunities with a balanced understanding of the limitations of AI.
While all the opportunities for AI in B2B payments outlined here are based on relatively low-risk AI systems, human oversight of these systems is still essential. However, with all the freed-up time and resource achieved through the implementation of AI, this issue can be avoided.
AI in B2B payments is not an if, but a when. The question is, when will you make the jump, hand in hand with technology, rather than fearing it or passing full control over to it.
In order to grow, it is essential for users to see the tangible benefits. For example, by enhancing efficiencies in account payable (AP), businesses can reallocate time and resource previously spent in AP to other areas. Early adopters are starting to test the water but only time will tell how much of an impact AI will make.
Most businesses will likely wait for the early adopters to fail, learn and progress. If something goes wrong in B2B payments, it can have a huge impact on individuals, businesses and economises. Only when the risk is clearly defined and manageable will AI truly become the gamechanger in B2B payments that all the hype claims.
“Adflexhas been at the heart of the B2B fintech revolution from the beginning. We are known for fostering innovation and helping companies harness the power of digital payments. Our technology and expertise bring together buyers and suppliers to make transactions fast, cost-effective and straightforward to manage. We take the pain out of the supply chain by delivering seamless and secure payment integration that adds value to both buyers and merchants.”
Michael Donnelly, Head of Client Success at BlueFlame AI, on how to prepare your firm to attract and retain the next generation of AI talent
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In the fast-paced world of financial services, a new generation is stepping in with high expectations for generative artificial intelligence (AI) in the workplace. Recently, BlueFlame AI conducted a specialised training session for one of our private equity clients, aimed at their newly hired summer intern class. The experience was eye-opening for us. Furthermore, it also provided a great lesson in the growing importance of AI in the industry and the expectations today’s young professionals have as they enter the workforce
AI & LLMs
The comprehensive training session covered vital areas such as AI and Large Language Models (LLMs), a review of the most popular use cases the industry has adopted, and hands-on practical training in prompt engineering. Moreover, our goal was to show this next generation the skills they’ll need to leverage these tools effectively. New roles could revolutionise alternative investment management processes like due diligence, market analysis, and portfolio management.
We also used this as an opportunity to survey the group about their experience of and expectations for AI use in the workplace – and it yielded some striking insights. A significant 50% of the interns reported using ChatGPT daily, with 83% utilising it at least weekly. Furthermore, these numbers suggest young professionals expect these tools to be available to them in their professional lives. In the same way they are available in their personal lives and set to become as commonplace as traditional software in the workplace. The interns’ expectations regarding AI’s impact on their work efficiency are even more telling. An overwhelming 94% believe these tools will enhance their productivity, indicating strong faith in the technology’s potential to streamline tasks and boost performance.
These high expectations have key implications for employers. A significant 89% of interns expect their employers to provide enterprise-grade AI/LLM access. This statistic is a wake-up call for companies that have yet to invest in AI technologies, highlighting the need to stay competitive not just in terms of products and services but also in workplace technology provision.
Talent Acquisition & Retention
Perhaps most important is AI’s potential impact on talent acquisition and retention. One-third (33%) of interns surveyed indicated they would reconsider their choice of employer if they didn’t offer access to enterprise-grade AI/LLM tools. A response that could throw a serious wrench into any Financial Services firm’s hiring plans.
The message is clear for businesses looking to stay ahead of the curve when it comes to supporting their employees. Investing in AI technologies and training is no longer optional. Firms must be ready to meet the expectations of the incoming workforce. They need to provide them with the best technology to maintain a competitive edge in an increasingly AI-driven business landscape. Companies that embrace AI and provide their employees with the tools and training to harness its power will likely see significant productivity, innovation, and talent retention advantages.
AI Revolution
Private and public investment firms stand to benefit greatly from this AI revolution. As this new generation brings its enthusiasm and expectations for technology tools into the workplace, firms that are prepared to meet these expectations will be better positioned to tap into fresh perspectives, drive innovation and reap significant efficiency and productivity gains. And if firms can take a proactive approach to training and commit to developing a forward-thinking, AI-enabled workforce, they will be able to enhance their teams’ capabilities and shape the future of work in the financial sector.
Generative AI and the workplace expectations it has created mark a new paradigm in the market. The next generation of professionals is not just ready for AI – they’re demanding it. Firms that recognize and act on this trend will be well-positioned to lead the pack when it comes to innovation, efficiency and talent acquisition.
Founded in 2023 BlueFlame AI is the only AI-native, purpose built, LLM-agnostic solution for Alternative Investment Managers.
Neobanks are transforming the financial sector as digital-only institutions that offer a comprehensive range of banking services through mobile apps…
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Neobanks are transforming the financial sector as digital-only institutions that offer a comprehensive range of banking services through mobile apps and online platforms. These services encompass current and savings accounts, payments, loans, and investments — all managed seamlessly through digital channels.
With cutting-edge financial technology, neobanks provide faster, more affordable, and more convenient solutions for both customers and businesses. The surge in mobile phone use, cloud computing, and artificial intelligence has fuelled rapid growth.
The neobanking market is even expanding rapidly, with a projected market volume of $10.44 trillion by 2028, according to Statista. This represents a 13.15 percent growth rate from 2024 to 2028.
Innovative Business Models
To offer a broader range of services and better customer experiences, neobanks leverage application programming interfaces (APIs). This model involves integrating various financial applications and services using APIs. It will allow them to manage Know Your Customer (KYC) verifications, do instant refunds, and arrange collections efficiently.
Then, the significant source for neobanks is interchange fees. This model involves charging transaction fees for every transaction and earning a portion of the fees from payment networks like Visa.
Furthermore, credit card business models use credit as a foundation, generating revenue from transaction fees and interest on carried balances to drive growth and profitability. This model starts with credit card services and later offers a bank account.
Other models allow neobanks to offer high-yield savings accounts and certificates of deposits (CDs). Revenue will come from earning interest on the assets and charging fees for services related to these accounts, such as maintenance fees.
Technology Integration
Neobanks have redefined the banking landscape through a digital-first approach, prioritising customer experience, and leveraging technology to deliver innovative financial services. This combination sets them apart from traditional banks and allows them to offer unique and competitive financial services.
A core characteristic of neobanks is their digital-only operations. By eliminating physical branches, they significantly reduce overhead costs. These savings translate into lower fees for customers and increased competitiveness.
Furthermore, neobanks harness the power of cloud computing, data analytics, and artificial intelligence to deliver personalised financial solutions. These technologies enable them to gain valuable insights into customer behaviour, allowing for tailored product offerings and improved operational efficiency.
Neobanks have also pioneered innovative revenue streams. Unlike traditional banks heavily reliant on interest income, they generate revenue through various channels, including interchange fees and partnerships.
Finally, many neobanks embrace open banking principles. This collaborative approach allows third-party developers to create new financial products and services that complement the neobank’s offerings. By collaborating with third-party developers, neobanks create additional value and broaden their reach.
The Global Neobanking Innovators
Advapay expected the total number of neobanks users to increase to 3.6 billion worldwide by 2024. Moreover, they spread relatively evenly across the main regions. For example, neobanks in North America, LATAM, APAC, and the UK each now accumulate a total price tag of 50 billion dollars or more per region.
Revolut, a UK-based neobank, stands as a leading example of digital banking innovation. Expanding its services to over 30 countries, Revolut offers multi-currency accounts, currency exchange, stock trading, and insurance.
The neobank employs various innovative business models including API integration, transaction fees, credit card services, high-yield savings, and certificates of deposit. Revolut’s software as a service (SaaS) approach enhances flexibility, scalability, and rapid product development.
Beyond Revolut, Nubank from Latin America showcases innovation through robust security features, diverse financial products, and blockchain-based loyalty programs. Meanwhile, WeBank in China excels in digital lending, mobile payments, and alternative credit scoring.
Future Prospects
The neobanking industry is rapidly evolving, with 278 neobanks operating globally as of March 2023. This intense competition forces neobanks to continuously innovate to differentiate themselves.
As a result, traditional banks face increased pressure to adapt to these new market dynamics. Neobanks have the potential to drive financial inclusion, foster creativity, prioritise customer needs, and expand globally.
Looking ahead, neobanks can expect a surge in competitors. This will force incumbent banks to either adapt their strategies to defend their market share or become digital attackers themselves to stay competitive in the evolving market.
With competition growing and attention spans shrinking, innovative product launches aren’t something neobanks should do once. Instead, creating agile solutions that are in tune with current consumer needs must be an essential part of their growth strategy.
Technological innovation is disrupting traditional business models, and customers now expect faster, more convenient service. Personalisation is crucial, with customers…
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Technological innovation is disrupting traditional business models, and customers now expect faster, more convenient service. Personalisation is crucial, with customers wanting insurance tailored to their specific needs. Enter InsurTech.
Digital transformation is a must for insurance companies. Early adopters reap benefits, while others risk falling behind. We explore five key benefits of digital transformation in insurance, highlighting strong reasons for companies to embrace the InsurTech revolution.
Digital transformation helps businesses improve workflows and empowers employees to work more efficiently and effectively. Adopting a digital culture can significantly cut down on time spent on tasks, eliminate manual processes, and introduce new features. Even basic automation of important steps can lead to substantial savings on overhead costs.
Research by the Harvard Business Review shows that over 89 percent of large companies worldwide are already implementing digital transformation initiatives, with projections of a 31 percent increase in revenue and a 25 percent reduction in costs.
An example of how digital transformation fosters innovation is the collaboration between Fingent and the California law firm Sapra & Navarra. Together, they developed Ambit, an artificial intelligence (AI) tool that streamlines workers’ compensation claims management. By using AI, Ambit speeds up the claims process and reduces associated costs.
Benefit 2: Enhanced Customer Experience
Improving customer experience and engagement is a key benefit of digital transformation. Data analysis helps insurers understand their customers better. This allows them to develop personalised products and improve customer service.
An example is XYZ Insurance. The company created a digital sales app for agents, launched an online e-commerce platform, and built a self-service app for customers on smartphones. This digital ecosystem streamlines the entire insurance process, from getting quotes and completing applications to uploading documents and making payments.
Benefit 3: Data-Driven Insights
For underwriting, digital transformation means unlocking new ways to analyse data and make decisions. AI is a key player in this change. AI can analyse massive amounts of data using algorithms and predictive analytics. This helps uncover patterns and connections that human underwriters might miss. These insights benefit both insurance companies and policyholders.
AI helps assess risk more accurately. By pinpointing potential problems with greater precision, AI allows underwriters to set appropriate premiums. This reduces the risk of setting premiums too low or too high, leading to a healthier insurance portfolio for the company.
Benefit 4: Increased Agility
Predictive analytics is a powerful tool at the core of digital transformation. It uses complex algorithms and machine learning to analyse massive datasets. This helps insurers uncover valuable patterns and trends to make better decisions in various areas of their business.
One key benefit is risk mitigation. Analysing historical data and current trends lets insurers better assess risk profiles and price policies more accurately. Additionally, predictive modelling helps them simulate future scenarios, such as a major weather event’s impact on their business. This foresight enables proactive adjustments and risk-reduction strategies.
Benefit 5: Improved Compliance
Regulatory technology (RegTech) helps insurance companies navigate compliance challenges. It provides smarter ways to analyse information. This allows them to see potential risks across a much larger dataset than ever before.
Insurers used to check a small sample of policies to find problems with sales or pricing. This took a lot of resources and only covered a tiny fraction of customers. RegTech, combined with advanced data analysis, can streamline this process. By looking at all their policies, insurers can identify potential issues more efficiently.
Conclusion
The traditional insurance industry faces pressure to keep pace with a rapidly changing digital world. Rising customer demands and innovative competitors threaten their position, but digital transformation offers a powerful set of tools to overcome these challenges and unlock new growth.
Digital technologies can streamline internal processes, making them more efficient and cost-effective. This translates to a smoother experience for customers with faster processing times and simpler interactions. Additionally, digital tools let insurers analyse data more effectively and improve risk management and regulatory compliance.
By investing in innovation, insurers can develop new products and services that meet evolving customer needs. This proactive approach strengthens their market position and lays the foundation for long-term, sustainable growth.
Nada Ali Redha, Founder of PLIM Finance, on flexibility, consolidation, and the evolution of digital payments
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Embedded finance, the integration of financial services into non-financial platforms, is no longer a niche trend. It has become a defining characteristic of modern commerce. Consumers are increasingly drawn to the convenience and flexibility it offers, leading businesses across industries to adopt embedded finance solutions. The rise of these platforms, combined with shifting consumer expectations, presents both opportunities and challenges for traditional banks and fintech players.
Customer-centricity with Embedded Finance
At the heart of this transformation is a desire for simplicity. Consumers are opting for solutions that allow them to bypass the inconvenient processes associated with traditional banking. They are avoiding excessive paperwork, account opening delays, or hidden charges. Instead, they are drawn to platforms that offer seamless integration of services. Enabling them to make purchases, manage their finances, and access credit without ever leaving the ecosystem of their preferred brands.
E-commerce giants like Amazon have been quick to recognise this trend, embedding financial services directly into their platforms. This allows them to offer a one-stop solution that caters to all their customers’ needs, from browsing products to making payments or accessing credit options. The appeal is clear: customers stay within the same digital environment, enjoying a frictionless experience that saves them time and effort. This development, however, raises the stakes for standalone payment providers like PayPal and Klarna, as they are increasingly excluded from these in-house ecosystems.
Shifting financial services
For legacy banking providers, this shift presents a major challenge. Traditionally, these institutions have relied on their extensive networks, trusted brands, and regulatory backing to maintain a dominant position in the financial landscape. But as businesses integrate financial services directly into their offerings, banks are no longer the first point of contact for many consumers. A growing number of businesses are bypassing traditional banks altogether, embedding payment and lending options at the point of purchase or within their own apps. This trend highlights a fundamental shift in how consumers interact with financial services, often without even realising it.
In response, payment providers and fintechs must find innovative ways to remain competitive. One potential strategy is for these companies to develop their own marketplaces. By creating an ecosystem of services that includes not only payments, providers can capture more customer loyalty and engagement. This would enable fintechs and payment solution companies to offer a holistic, embedded finance solution. Rather than relying on external platforms or partnerships.
PLIM Finance
A case study for this would be PLIM Finance’s marketplace, which offers a highly customised experience. PLIM connects consumers with their desired services in a way that prioritises personalisation and convenience. As a platform built with user-centric design at its core, it allows consumers to search for treatments based on location, type, and specific clinics, giving them the ability to make informed decisions effortlessly. This is achieved through a search engine that filters results to suit each individual’s exact needs. Enhancing the user experience by eliminating irrelevant options for a streamlined experience. PLIM’s marketplace also encourages partners to create detailed profiles, showcasing their services, reviews, and credentials, which enhances visibility and attracts new clients. By fostering a direct connection between consumers and clinics, PLIM’s marketplace stands out in the embedded finance space. Ensuring a seamless, personalised customer experience that is simple and easy-to-use.
Strategic partnerships
Another potential strategy is deeper collaboration with external partners. By integrating their services into a wide range of businesses, payment providers can continue to capture market share. Without needing to create their own consumer-facing platforms. Strategic partnerships can expand the reach of these payment solutions, allowing them to tap into user bases they might otherwise miss. For example, smaller or mid-sized businesses may benefit from embedding a well-established payment solution into their website or app rather than developing their own in-house system.
However, not every provider will be able to meet the demands of this rapidly changing landscape on their own. As the embedded finance space continues to mature, industry consolidation becomes a very real possibility. Larger players may acquire smaller fintech companies. Integrating their innovative solutions into existing platforms can offer a more comprehensive suite of services. This would mirror the broader trend in the tech sector, where big players often absorb disruptive startups to maintain their competitive edge. Consolidation offers both challenges and opportunities. While smaller companies risk losing their independence, they also gain access to the resources and customer base of their new parent companies.
Evolving financial landscape
This evolving landscape is also occurring at a time of significant economic uncertainty. Financial stress often pushes consumers to reevaluate their spending and financial habits, with many looking for greater control over their cash flows. This is where embedded finance stands out. The flexibility it offers allows consumers to manage their money more efficiently, whether through payment deferrals, buy-now-pay-later (BNPL) options, or quick access to credit. These features are particularly valuable when budgets are tight or income is uncertain.
Moreover, embedded finance solutions empower consumers by giving them more control over how they manage their transactions. For example, BNPL options give individuals the freedom to split payments over time, making larger purchases easier to manage without the immediate financial burden. This level of control resonates with modern consumers, who increasingly seek transparent, flexible financial solutions that can be tailored to their personal circumstances.
For businesses, this presents an opportunity to strengthen customer loyalty by offering embedded finance services that align with consumer needs. By removing barriers to purchasing, businesses can enhance the customer experience, which, in turn, can drive increased sales and long-term engagement. As a result, companies that adopt embedded finance solutions can gain a competitive edge, particularly in sectors like e-commerce, where convenience is king.
Conclusion
In conclusion, embedded finance represents a fundamental shift in how consumers interact with financial services. As more businesses adopt these solutions, traditional banking institutions and standalone payment providers will need to adapt or risk being left behind. Whether through developing their own marketplaces, forging deeper collaborations, or pursuing mergers and acquisitions, the financial services landscape is poised for continued transformation. Embedded finance, with its focus on flexibility and convenience, is likely to become an integral part of the future of commerce—benefiting both consumers and businesses alike.
Digital banking offers increased convenience and accessibility. However, this growth also exposes banks to heightened cybersecurity risks. Protecting data and…
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Digital banking offers increased convenience and accessibility. However, this growth also exposes banks to heightened cybersecurity risks. Protecting data and information is crucial to maintaining customer trust and preventing financial loss.
Cybercrime poses a significant threat to the digital banking industry. According to Cybercrime Magazine, cybercrime costs will increase by 15% over the next five years and reach $10.5 trillion by 2025. These attacks target sensitive information and funds, causing substantial damage to banks.
To mitigate these risks, banks must implement robust cybersecurity measures to safeguard digital systems and data.
1. Strong Authentication
The Payment Services Directive (PSD2) mandates strong customer authentication (SCA) to reduce fraud and enhance online payment security. This directive imposes specific requirements on market participants to meet new obligations. The European Banking Authority (EBA) developed regulatory technical standards (RTS) based on the Commission’s authority under PSD2.
The RTS aims to protect consumers and create a level playing field within the evolving financial technology market. To achieve this, the RTS establishes security measures for payment service providers — including banks and other financial institutions — when processing payments or offering payment-related services.
2. Encryption
Unencrypted data is a common cyber threat. Hackers can easily access this data type and give severe consequences for banks. According to Statista, the average cost of a data breach worldwide is $4.45 million dollars. However, data breaches not only cause substantial financial loss for recovery and ransom payments but also damage a bank’s reputation.
To prevent these issues, all digital banking data must be encrypted. This safeguards information and makes it difficult for cybercriminals to access even if stolen. Encryption transforms data into a coded format that requires a specific key to decipher. Only individuals with the correct key can view the original data.
Encryption involves using an algorithm and a key to convert plain data into encrypted data. The original data can only be recovered by decrypting the ciphertext with the correct key.
3. Regular Cybersecurity Audit
A security audit is a thorough examination of an organisation’s IT infrastructure. This process verifies the effectiveness of security policies and procedures. Security audits assess how well an institution’s cybersecurity program operates. This includes reviewing policies, testing controls, and checking compliance with industry standards and regulations.
Banks and financial institutions face increasingly complex cyber threats. Regular security audits help identify vulnerabilities in systems. By discovering weaknesses, banks can strengthen defences with firewalls, antivirus, and antimalware software. A cybersecurity audit should be conducted by an independent expert to ensure objectivity.
4. Employee Training
The World Economic Forum reports that 95% of cyberattacks involve human error. This means hackers often exploit employee mistakes. They use tactics like phishing to deceive employees into revealing sensitive information. This can lead to data breaches and financial loss. For example, employees might click on malicious links, disclose confidential data, or leave devices unattended.
Therefore, bank employees must have training to recognize that cyberattacks are a constant threat. Moreover, the consequences of a breach can be severe for employees, customers, and the bank’s reputation. Cybercriminals operate in a lucrative industry, for that reason, it is imperative to equip employees with the knowledge to safeguard against these threats.
5. Incident Response Planning
An incident response plan is a formal document approved by bank leadership to guide the organisation before, during, and after a potential or confirmed security incident. The plan aims to reduce the impact of security events, limiting operational, financial, and reputational damage.
A successful incident response plan should be established before a security attack occurs and assigned to specific team members. IBM research shows companies with well-developed and tested response plans save an average of $2.66 million compared to those without such protocols.
To create an effective incident response plan, banks can reference established frameworks. For specific incident handling steps, The National Institute of Standards and Technology’s SP-800-61 and SANS’s Incident Handlers Handbook provide detailed blueprints. Aligning the incident response plan with these resources ensures a focused and effective approach to managing cybersecurity incidents.
Importance of Cybersecurity Measures
The increasing reliance on digital platforms exposes individuals and organisations to growing cybersecurity risks. Malicious actors exploit security weaknesses to steal personal information and compromise digital assets. Forbes reported a staggering increase in cyberattacks in 2023, impacting over 343 million people, with data breaches soaring by 72 percent from 2021 to 2023. These striking figures highlight the urgent need for state-of-the-art cybersecurity in digital banking.
The 2008 global financial crisis exposed vulnerabilities in the traditional financial system. In response, blockchain technology emerged, offering a solution. …
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The 2008 global financial crisis exposed vulnerabilities in the traditional financial system. In response, blockchain technology emerged, offering a solution.
With its ability to address these weaknesses, blockchain holds significant potential to transform the banking industry. This article will explore how blockchain can be used in banking and the benefits it offers for a more secure and efficient financial industry.
Introduction to Blockchain in Banking
Blockchain technology is changing the way data is stored and shared. It’s a digital record spread across a network of computers. This system uses cryptography for security, allowing authorised participants to update the records without needing a central authority.
Once information is added to the blockchain, it’s impossible to alter or erase. To add new entries, network participants verify transactions using complex algorithms.
Traditionally, banks and payment systems rely on intermediaries to facilitate transactions. However, blockchain’s distributed network allows for direct consensus and verification between participants, streamlining the entire process.
Blockchain Case Study: Payment Processing
Central and commercial banks around the world are exploring blockchain for payment processing. This interest extends to cross-border payments, traditionally dominated by companies like SWIFT and Western Union.
Several successful blockchain implementations in banking serve as case studies. In 2015, Commonwealth Bank of Australia (CBA) teamed up with Ripple, a fintech company specialising in blockchain solutions for international payments. Their goal was to build a system using blockchain to speed up settlement processes between CBA’s different branches.
Westpac, another major Australian bank, followed suit in 2016 by partnering with Ripple to create a cost-effective system for cross-border payments using blockchain.
Blockchain Case Study: Trade Finance
Trade finance, handling all aspects of domestic and international commerce, relies heavily on banks to facilitate transactions. Traditionally, this involves managing risk, providing credit, and allowing both exporters and importers to participate. However, the system often suffers from slow and outdated paper-based documentation.
Recognising this need for improvement, leading institutions like Standard Chartered and HSBC have joined groups exploring blockchain technology for trade finance. One example is Voltron, a platform designed by R3 and CryptoBLK to digitise letters of credit.
Pilot projects across 14 countries with over 50 companies and banks participating yielded notable results, reducing letter of credit processing time from five days to less than 24 hours. Building on this success, Voltron rebranded as Contour in 2020, launching a digital trade finance network with R3 and other banks as supporters.
Blockchain Case Study: KYC
Know Your Customer (KYC) processes are a slow hurdle in banking as they can take weeks to complete. The system also suffers from wasted effort, as each bank asks new clients for the same information.
This inefficiency creates high costs for banks. Compliance burdens are heavy, and penalties for not following the rules are significant. The constant changes in regulations make it difficult for banks to stay compliant.
Chris Huls of Rabobank proposed a solution—storing KYC information on a blockchain. This secure and transparent technology acts as a shared platform for customer data. Once a bank completes KYC, a summary can be uploaded to the blockchain. Authorised institutions can then access this information, eliminating repetitive checks.
Benefits Realised
Blockchain technology offers a new way to store and manage data. Unlike traditional databases, blockchain spreads data across a network of computers and creates a public record that’s difficult to tamper with.
Any attempt to change a record in one place would be caught by other computers in the network. This system eliminates the possibility of any single entity manipulating information.
Furthermore, blockchain promotes transparency. Transactions are visible to anyone who wants to see them, with tools allowing real-time tracking. This can lead to faster processing times for consumers, potentially reducing transaction completion to minutes, regardless of location or time.
Inter-bank transfers can also benefit from blockchain’s efficiency and security. Large sums involved in these transactions come with risk and cost during the current multi-day settlement process.
Lessons Learned and Future Outlook
These case studies demonstrate the technology’s ability to streamline transactions, reduce friction, and enhance security. The technology also promotes transparency and immutability of data.
However, a major challenge remains—ensuring customer data privacy. Public blockchains, with their inherent openness, create obstacles. Permissioned blockchains with strong encryption offer some solutions, but cybersecurity concerns still exist. Building trust and widespread adoption requires addressing these data privacy issues.
Regulatory uncertainty presents another hurdle. Currently, there’s no central authority overseeing and regulating blockchain protocols. The need for some form of governance is apparent, but careful consideration will need to be given to the distribution of power within such a system.
Our cover star, EY’s Global Chief Data Officer Marco Vernocchi, tells Interface why data is a “team sport” and reveals…
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Our cover star, EY’s Global Chief Data Officer Marco Vernocchi, tells Interface why data is a “team sport” and reveals the transformation journey towards realising its potential for one of the world’s largest professional services organisations.
Welcome to the latest issue of Interface magazine!
Global Chief Data Officer, Marco Vernocchi, reflects on the data transformation journey at one of the world’s largest professional services networks.
“Data is pervasive, it’s everywhere and nowhere at the same time. It’s not a physical asset, but it’s a part of every business activity every day. I joined EY in 2019 as the first Global Chief Data Officer. Our vision was to recognise data as a strategic competitive asset for the organisation. Through the efforts of leadership and the Data Office team, we’ve elevated data from a commodity utility to an asset. Our formal data strategy defined with clarity the purpose, scope, goals and timeline of how we manage data across EY. Bringing data to the centre of what we do has created a competitive asset that is transforming the way we work.”
PivotalEdge Capital
Sid Ghatak, Founder & CEO of asset management firm PivotalEdge Capital, spoked to us about the pioneering use of “data-centric AI” for trading models capable of solving the problems of trust and cost.
“I’ve always advocated data-driven decision-making throughout my career,” says Ghatak. “I knew when I started an asset management firm that it needed to be data-centric AI from the very beginning. A few early missteps in my career taught me the importance of having a stable and reliable flow of data in production systems and that became a criterion.”
LSC Communications
Piotr Topor, Director of Information Security & Governance at LSC Communications, discusses tackling the cyber skills shortage, AI, and bringing together the business and IT to create a cyber-conscious culture at a global leader in print and digital media solutions.
Topor tells Interface: “The main challenge we’re dealing with is overcoming the disconnect between cybersecurity and business goals.”
América Televisión
Interface meets again with Jose Hernandez, Chief Digital Officer at América Televisión, who reveals how the company is embracing new business models, and maintaining market leadership in Peru.
“Launching our FAST channel represents a pivotal step in diversifying our content delivery and monetisation strategies. Furthermore, aligning us with global trends while catering to the changing viewing habits of our audience,” says Hernandez.
Also in this issue of Interface, we hear from eflow about new approaches to Regtech; get the lowdown on bridging the AI skills gap from CI&T; and GCX on the best ways to navigate changing cybersecurity regulations.
Financial institutions are increasingly turning to artificial intelligence (AI) to gain a competitive edge. AI tools streamline operations, improve customer…
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Financial institutions are increasingly turning to artificial intelligence (AI) to gain a competitive edge. AI tools streamline operations, improve customer support, and automate processes, making banks more efficient and customer-focused.
Research by McKinsey shows that over 20 percent of an organisation’s digital budget goes towards AI. The study links significant investments in AI to a 10-20 percent increase in sales. AI will play a central role in boosting efficiency, customer service, and overall banking productivity.
Introduction to AI in Personalised Banking
Delivering personalised experiences is crucial for customer satisfaction and retention. AI helps banks achieve this by collecting and analysing customer data. This data is then used to create recommendations, product offerings, and even financial advice tailored to each customer’s needs.
AI tools can optimise workflows through a technique called prescriptive personalisation, using past data to predict future behaviour. Real-time personalisation takes this further, incorporating current information alongside historical data.
This allows banks to deliver highly customised virtual assistants and real-time recommendations powered by natural language processing (NLP) models. These AI-powered assistants not only build trust and user engagement but also simplify interactions with the bank.
Tool 1: Predictive Analytics
Predictive analytics, powered by AI tools, unlock a new level of customer personalisation in banking. These tools analyse data to uncover hidden patterns and trends that traditional methods might miss. This knowledge reveals sales opportunities, possibilities for cross-selling, and ways to improve efficiency.
Predictive analytics use past data to forecast customer behaviour and market trends. This foresight allows banks to tailor marketing strategies and sales approaches to meet changing customer needs and capitalise on emerging opportunities.
Tool 2: Chatbots and Virtual Assistants
One key advantage of chatbots is their constant availability. This is especially helpful for customers who need assistance outside of regular operating hours.
AI chatbots learn from every interaction, improving their ability to understand and meet individual customer needs. By integrating chatbots into banking apps, banks can provide personalised banking experiences and recommend financial products and services that fit a customer’s specific situation.
Erica, a virtual assistant developed by Bank of America, handles tasks like managing credit card debt and updating security information. With over 50 million requests handled in 2019 alone, Erica demonstrates the potential of chatbots as efficient assistants for customers.
Tool 3: Recommendation Engines
Banks use AI tools to analyse vast amounts of customer data, including purchases, browsing habits, and background information. This deep understanding helps banks recommend products that truly fit each customer’s needs.
These personalised recommendations extend beyond credit card suggestions. AI can identify potential investments or loans that align with a customer’s financial goals. By providing customers with relevant information, banks allow them to make informed financial decisions.
Tool 4: Sentiment Analysis with AI
AI sentiment analysis translates written text into valuable insights. AI uses NLP to understand emotions and opinions in written communication. By examining things like customer feedback, emails, and social media conversations, banks gain a much clearer picture of customer sentiment.
Tool 5: Voice Recognition
AI-powered voice assistants offer a convenient way to handle everyday banking tasks. From checking balances to paying bills, all a customer needs are simple voice commands.
These assistants use NLP to understand customer requests and respond accurately. Voice authentication adds another layer of security by verifying customer identity during transactions.
Tool 6: Process Automation
Robotic Process Automation (RPA) automates repetitive tasks, boosting operational efficiency. It tackles up to 80 percent of routine work and frees up workers for more valuable tasks requiring human judgement.
RPA bots can handle tasks like issuing and scheduling invoices, reviewing payments, securing billing, and streamlining collections – all at once. NLP empowers these bots to extract information from documents, simplifying application processing and decision-making.
Tool 7: Facial Recognition with AI
Facial recognition helps banks verify customer identities during tasks like opening accounts, accessing information, and making transactions. Compared to traditional passwords, facial recognition offers stronger security and greater convenience. It eliminates the need for remembering complex passwords or worrying about stolen credentials, making banking interactions smoother and less error-prone. This technology also helps prevent fraud by identifying attempts to impersonate real customers.
Capital One AI Case Study
Capital One demonstrates how AI can personalise banking. Their AI assistant uses NLP to understand customer questions and provide immediate answers. Capital One also incorporates AI into fraud detection. Machine learning and predictive analytics help pinpoint suspicious credit card activity to strengthen security measures.
Conclusion
AI tools offer a significant opportunity for banks to improve customer experiences and achieve long-term success. By personalising banking services with AI, banks can better meet individual customer needs. This leads to higher satisfaction and loyalty, which enhances the bank/customer relationship.
AI has the potential for an even greater impact. As banks integrate more advanced AI capabilities, they can create even more engaging and personalised interactions. This focus on ‘hyper-personalisation’ could be the next big step for financial institutions to set them apart in a competitive market.
Neobanking is different from traditional banking which is operated through physical intermediaries. By implementing an interface and various advanced features,…
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Neobanking is different from traditional banking which is operated through physical intermediaries.
By implementing an interface and various advanced features, this type of bank can change people’s views on managing finances by keeping up with rapid technological advances.
In the US, many people have been underserved by traditional banks, facing high fees and a lack of branches. To help, some companies offered prepaid debit cards with checks for bill payments, but these were limited.
The 2010s fintech revolution introduced mobile-first banking through neobank apps. These apps allowed quick account signups with no minimum balance or overdraft fees and offered small, interest-free loans to keep people away from payday lenders.
This model attracted millions of customers, with neobanks profiting from higher interchange fees. However, they also faced challenges such as higher fraud and disputes, impacting their profitability.
In this article, we will discuss the five main benefits of neobanks: convenience, lower fees, a better user experience, faster transactions, and innovative financial products. These advantages will explain why customers are switching to this type of bank.
Convenience
One of the main advantages of neobanks is their ease of access. Customers do not need to visit the bank physically and can carry out all banking transactions anytime and anywhere.
This convenience extends to all processes, from opening an account to transferring money to the destination account. These tasks can be completed in minutes via a mobile phone.
Lower Fees
Apart from accessibility advantages, neobanking offers a competitive fee structure with relatively lower admin fees than traditional banks. This is because traditional banks incur overhead costs to maintain physical branches, while neobanks do not.
As a result, neobanks can pass on savings to customers through lower service rates. Additionally, neobanks save on costs by not requiring workers to operate physical branches.
Enhanced User Experience
Neobanks prioritise user experience by designing intuitive interfaces—making banking straightforward and accessible. They also offer personalised financial insights for each customer.
Neobanking’s mobile applications simplify financial management with budget tools and real-time transaction notifications. These features empower consumers to make informed financial decisions and maintain better control over their finances.
Faster Transactions
Neobanking offers convenience and lower costs while speeding up transactions with advanced technology. This allows users to manage their finances in real time.
For example, customers can quickly transfer money between local and international banks, thanks to the efficient systems deployed.
Innovative Financial Products
Not only are neobanks useful for fast transactions, but they also provide innovative financial products. One such innovation is automatic investment, which allows users to allocate and manage portfolios via a mobile app.
Additionally, neobanks offer unsecured loan products with a quick and transparent application process. This approach not only provides efficiency but also aligns with consumer behaviour in interacting with financial services.
Conclusion
The advantages of neobanking go beyond convenience and cost savings; they also include a consumer-oriented banking approach. By leveraging powerful digital innovations, neobanks offer an accessible and customisable banking platform.
This approach enhances the consumer experience with more innovative financial products and alternative solutions. Neobanking also implements financial transparency policies, allowing consumers to explore and benefit from various banking options.
In the future, neobanks may have a significant opportunity to attract high-value customers who manage large deposits. A mobile app could integrate all their accounts from different banks into one, simplifying deposit management. Additionally, neobanks could use AI to deliver personalised customer service and a premium experience.
Fuelled by the Covid-19 pandemic and a projected market size of $166.4 billion by 2030, InsurTech companies are revolutionising the…
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Fuelled by the Covid-19 pandemic and a projected market size of $166.4 billion by 2030, InsurTech companies are revolutionising the insurance industry.
These firms offer digital alternatives in a typically slow-to-change industry. Furthermore, their innovative solutions have empowered traditional insurers to accelerate digitalisation and streamline processes.
These are the leading firms that have helped this traditional field both adapt and start rapidly catching up to efficiency trends associated with more dynamic industries.
Introduction to InsurTech Innovation
The insurance industry is undergoing a transformative shift fuelled by InsurTech.
Innovating technologies for insurers is about finding novel solutions to longstanding challenges and harnessing emerging trends to shape the future of the industry.
Insurance leaders are almost unanimous in recognising that innovation as not just important, but critical to future success. Moreover, insurers who fail to embrace InsurTech advances, and the wave of digital insurance products and opportunities they represent, risk falling behind in an increasingly competitive and dynamic industry.
Oscar Health
Oscar Health built itself from the ground up with a tech-first approach focused on member service. This unique strategy aims to make healthcare more accessible and affordable for all Americans.
Oscar’s commitment to exceptional service is reflected in its sky-high Net Promoter Score (NPS) of 50 and a near-perfect 97% member satisfaction rate for virtual care. With a presence in over 577 counties across 20 states, Oscar Health’s impact on the InsuTech industry is undeniable.
NEXT Insurance
A leader in small business insurance, NEXT Insurance offers easy-to-understand, digital coverage designed specifically for the self-employed. Also, their recently launched Copilot tool empowers agents to serve micro-businesses efficiently. Copilot streamlines the process for both sides. Business owners can get quotes and bind coverage online instantly, while agents gain a simplified workflow to boost revenue.
Vouch
Since 2018, Vouch has emerged as a prominent force in the InsurTech space by transforming the way business insurance serves high-growth companies. Vouch recently launched AI Insurance, a groundbreaking product specifically designed to mitigate risks for AI startups in this rapidly developing field.
Hippo
Hippo stands out for its proactive approach to homeowners insurance. Partnering with homeowners to implement smart home devices and personalised safety recommendations, Hippo prioritises preventing hazards before they occur. This commitment has secured their position as a top InsurTech firm, protecting over 200,000 homes across most US states.
Bestow
Bestow prioritises simplifying insurance and boosting financial security for everyone. It believes the process shouldn’t be daunting, so they leverage cutting-edge technology and data throughout the entire value chain to streamline everything. Furthermore, its commitment to innovation is evident in the recent launch of permanent life insurance and the addition of AI features to its underwriting workbench.
QuanTemplate
Founded in 2011, QuanTemplate uses machine learning and big data to empower businesses through digital transformation. Its core offering, a data integration, automation, and analytics platform, equips insurance professionals with the tools to unlock valuable insights and gain a deeper understanding of market dynamics.
Dinghy
Dinghy caters to the changing insurance needs of freelancers and businesses with its innovative pay-as-you-go model and focus on online and mobile accessibility.
This focus on accessibility is further enhanced through its partnership with ARAG, providing ‘Freelance Assist’. This is a unique package combining Dinghy’s flexible insurance with ARAG’s online legal resources tailored for freelance professionals.
CoVi Analytics
CoVi Analytics tackles both regulatory compliance and operational efficiency for insurers. Its AI-powered CORE platform automates complex reporting for evolving regulations, while the app suite featuring Policy 2.0 simplifies risk incident capture and boosts operational efficiency.
ManyPets
ManyPets, formerly known as Bought By Many, has emerged as a leading pet insurance provider by taking a unique approach to customer needs.
Born from a focus on analysing social media commentary, ManyPets uses customer feedback to shape its insurance policies. This customer-centric approach extends to its technology focus, making ManyPets the first pet insurance company to offer form-free online claims.
Shift Technology
Shift Technology provides a suite of AI-powered Software-as-a-Service (SaaS) solutions specifically designed to address the insurance industry’s needs. Its focus lies in fraud detection, empowering insurers with robust protection against financial losses, reputational damage, and cyber threats.
Key Factors for InsurTech Success
Several key factors have fuelled the recent surge in InsurTech innovation. Digitisation plays a crucial role by speeding up information processing, leading to cost reductions, efficiency gains, and the development of new, customer-centric products.
Additionally, personalisation is another key factor, enabling insurers to tailor services to individual needs and preferences. They consider factors like age, location, and lifestyle before providing quotes. Finally, advanced analytics capabilities provide valuable insights into consumer behaviour, allowing insurers to better target customers, while also offering real-time risk assessment data.
The automotive industry is transforming vehicles into mobile banking centres with the introduction of embedded finance. This allows drivers to…
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The automotive industry is transforming vehicles into mobile banking centres with the introduction of embedded finance. This allows drivers to seamlessly pay for fuel, tolls, parking, and electric car charges without leaving their cars.
Embedded banking or embedded finance is a technology that is used on many websites for easy transactions. It integrates financial services like payments, accounts, or lending into non-financial products or services. That technology can also be brought into your car.
It turns banking into a part of driving, creating an efficient experience for drivers. With this new system, drivers can easily manage all of these payments automatically making for seamless transactions.
Benefits of Using Embedded Banking
Built-in banking does more than just make payments easier. It can also help drivers choose the right car based on how they drive. For example, if someone often drives long distances, the system might suggest a fuel-efficient car. If another driver drives mostly around town, a smaller car might be recommended. This intelligent system can make buying a new car easier and more personal.
Insurance companies can also benefit from this technology. They can see how people drive and adjust their premiums accordingly. For example, a cheaper insurance premium may be given to a driver with a clean driving record. On the other hand, a driver who has a history of speeding or traffic accidents may get a more expensive premium. This makes insurance fairer and more personalised to each driver.
Car companies that are the first to add built-in banking will have a big advantage. Buyers will want to buy cars with this new and convenient feature, giving these companies an edge. In addition, this technology allows car companies and banks to increase revenue. They could offer special deals or services to drivers who make frequent use of the in-car payment system.
Enhanced Financing Options
Embedded finance simplifies vehicle financing by integrating financial services into the car-buying process. Furthermore, customers can apply for and manage loans directly through their vehicle’s interface, with loan options personalised to their financial profile and driving habits. This innovation improves user experience by making payments, financing, and insurance easier and more secure.
Embedded banking turns cars into mobile banking hubs, leveraging data from modern vehicles to customise financial products. Moreover, insurance premiums can adjust based on driving behaviour, financing can match vehicle usage, and payments for charging or tolls can be automated, enhancing efficiency and customer satisfaction.
Seamless Transactions
Embedded finance simplifies transactions by allowing drivers to pay for services like fuel, tolls, and parking directly through their vehicle’s system. This integration eliminates the need for physical payment methods, making the driving experience smoother and more convenient.
In the automotive industry, embedded finance also transforms how customers handle car purchases and financing. By integrating banking, lending, and insurance services into the vehicle’s interface, automotive companies can offer a more seamless and convenient experience. Using APIs from specialised providers, this approach opens new revenue streams and enhances overall customer satisfaction.
Increased Sales
Automotive companies that adopt embedded finance technologies can experience a significant boost in sales and revenue. By offering integrated financial services, car manufacturers can attract customers looking for modern, convenient solutions.
According to McKinsey, embedded finance can boost sales by increasing conversions, average purchase amounts, and customer loyalty. Research by RBC Capital Markets shows that buy now, pay later (BNPL) options can raise checkout conversion rates by 20-30 percent and lead to higher spending per transaction.
A major global retailer has found that customers using their embedded lending services spend 20 percent more. However, the solution must be easy to use; otherwise, abandonment rates can be high.
The Collaboration of Industries for Embedded Banking
This new technology also encourages teamwork between different industries. For it to work well, car companies, technology companies, and banks need to work closely together. They need to create strong security measures to protect users from potential online threats. This collaboration is important to ensure that the system is secure and reliable.
By connecting cars and financial services, embedded banking will accelerate innovation. It will help create a future where driving and banking are connected. This will lead to a more efficient and customer-friendly world.
New Technology Leaders
Mercedes-Benz is already leading the way with this technology through its partnership with Mastercard. In Germany, Mercedes-Benz customers can start the fueling process from their car and pay with their fingerprints. This is the first time in-car payments have been used at gas stations.
When a driver arrives at a connected service station, the Mercedes Me Fuel & Pay service starts automatically. The driver selects the gas pump, and the system calculates the cost. Payment is made with a fingerprint. After refuelling, the invoice appears on the screen and is emailed to the driver, allowing them to leave without visiting the checkout.
Future Prospects
This new technology will help both the automotive and banking industries. It makes life easier for drivers and promises to change the way we drive by enabling easy payments on the go.
Once all car companies start using built-in banking, the current system of driving will change forever. This technology will turn cars into more than just vehicles to get from one place to another; they will become smart, connected hubs that make life easier for drivers. The future of driving begins with the implementation of embedded finance.
WatchGuard’s Threat Lab cybersecurity research team forecast headline-stealing hacks involving LLMs, AI-based voice chatbots and VR/MR headsets. They also assess…
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WatchGuard’s Threat Lab cybersecurity research team forecast headline-stealing hacks involving LLMs, AI-based voice chatbots and VR/MR headsets. They also assess the impact of the war on talent, AI spear phishing and QR codes.
Watchguard leading on Cybersecurity
WatchGuard Technologies, a global leader in unified cybersecurity, offers an annual batch of predictions covering the most prominent attacks and information security trends that the WatchGuard Threat Lab research team believes will emerge each year. This year, these include malicious prompt engineering tricks targeting large language models (LLMs), managed service providers (MSPs) doubling down on unified security platforms with heavy automation, ‘Vishers’ scaling their malicious operations with AI-based voice chatbots, hacks on modern VR/MR headsets, and more…
“Every new technology trend opens up new attack vectors for cybercriminals,” said Corey Nachreiner, chief security officer at WatchGuard Technologies. “In 2024, the emerging threats targeting companies and individuals will be even more intense, complicated, and difficult to manage. Therefore, with an ongoing cybersecurity skills shortage, the need for MSPs, unified security, and automated platforms to bolster cybersecurity and protect organisations from the ever-evolving threat landscape have never been greater.”
Cybersecurity predictions
The following is a summary of the WatchGuard Threat Lab team’s top cybersecurity predictions for 2024:
Prompt Engineering Tricks Large Language Models (LLMs)
Companies and individuals are experimenting with LLMs to increase operational efficiency. However, threat actors are learning how to exploit LLMs for their own malicious purposes as well. During 2024, the WatchGuard Threat Lab predicts that a smart prompt engineer ‒ whether a criminal attacker or researcher ‒ will crack the code and manipulate an LLM into leaking private data.
MSPs Double Down on Security Services Via Automated Platforms
There are approximately 3.4 million open cybersecurity jobs, and fierce competition for available talent. More SMEs will turn to trusted managed service and security service providers, known as MSPs and MSSPs, to protect them in 2024. To accommodate growing demand and scarce staffing resources, MSPs and MSSPs will double down on unified cybersecurity platforms with heavy automation using artificial AI and Machine Learning.
AI Spear Phishing Tool Sales Boom on the Dark Web
Cybercriminals can already buy tools on the underground that send spam email, automatically craft convincing texts, and scrape the Internet and social media for a particular target’s information and connections. However, a lot of these tools are still manual and require attackers to target one user or group at a time. Well-formatted procedural tasks like these are perfect for automation via AI and machine learning. This makes it likely that AI-powered tools to combat cybersecurity will emerge as best sellers on the dark web in 2024.
AI-Based Vishing Takes Off in 2024
Voice over Internet Protocol (VoIP) and automation technology make it easy to mass dial thousands of numbers. Once a potential victim has been baited onto a call, it still takes a human scammer to reel them in. This system limits the scale of vishing operations. But in 2024 this could change. The combination of convincing deepfake audio and LLMs capable of carrying on conversations with unsuspecting victims will greatly increase the scale and volume of vishing calls. What’s more, they may not even require a human threat actor’s participation.
VR/MR Headsets Allow the Recreation of User Environments
Virtual and mixed reality (VR/MR) headsets are finally beginning to gain mass appeal. However, wherever new and useful technologies emerge, criminal and malicious hackers follow. In 2024, cybersecurity researchers forecast that either a researcher or malicious hacker will find a technique to gather some of the sensor data from VR/MR headsets to recreate the environment users are playing in.
Rampant QR Code Usage Results in a Headline Hack
Quick response (QR) codes provide a convenient way to follow a link with a device such as a mobile phone. They have been around for decades, but mainstream usage has exploded in recent years. Furthermore, Threat Lab cybersecurity analysts expect to see a major, headline-stealing hack in 2024 caused by an employee following a QR code to a malicious destination.
We caught up with Shachi Rai Gupta from ORO Labs to discuss the importance of orchestration in procurement.
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Simplifying procurement in smart ways is the ultimate goal for ORO Labs. Utilising the best of AI, ORO Labs aims to implement procurement orchestration across sectors, creating an experience that is simultaneously automated, augmented, and humanised.
Shachi Rai Gupta is VP Strategy at ORO Labs, with a wealth of transformation and technology experience behind her. Rai Gupta’s sharp eye on procurement has allowed her to witness the rise and fall of various trends, and understand what the sector needs as it – along with technology – evolves.
We caught up with Rai Gupta at the DPW NYC Summit back in June, a special North American version of the event. Procurement trends, especially AI and orchestration, were very much the theme of the day, prompting lively conversations amongst some of the world’s most influential procurement leaders.
Procurement as a net positive experience generator
For Rai Gupta, the trends right now are guided by the fact that procurement has more of a strategic and evolved role than ever, giving the function the opportunity to have a great impact on the enterprise bottom-line and the environment and community at large
“Procurement is morphing into a function where one of its biggest responsibilities is to be a net positive experience generator,” she explains.
“Procurement really is a service function for the whole business stakeholders. We, as procurement professionals, need to see things through the lens of the business. This includes what issues the business is trying to solve, and meeting the business where it’s at for good collaboration.
“It’s also important to make this experience as easy as possible, rather than cumbersome and time intensive. That needs to be catered and customised to the individual business segments.”
Prioritising the planet
Another area Rai Gupta is seeing talked about a lot is sustainability. This topic has, for some, been sidelined a little in favour of advanced technology. But it’s just as important as it’s always been, and it’s vital to keep the discussion alive – especially in procurement.
“More and more, companies are realising the impact they’re having on the environment,” Rai Gupta explains. “It’s an increasing priority on all our agendas. The technology is still nascent in that space, in the sense that there aren’t good ways to do benchmarking or tracking. That’s going to be an interesting space to watch out for.”
The next generation
Another hot topic of the DPW NYC Summit was the talent shortage. We at CPOstrategy discuss this topic a lot with procurement professionals, and there’s no one answer for fixing the issue.
“There’s a dearth of good digital talent,” Rai Gupta states. “The skillset you need today in procurement is very different from what we’ve had before. To be able to leverage that, to really make use of the procurement teams you have and the operational model you want, it’s a different challenge. The structure of your team is more important than ever.
“While that shortage is there, when you do have the right people in place in procurement, that’s where the department shines,” Rai Gupta adds. “That’s where procurement becomes a group of trusted advisors for the business, providing proactive opportunities. We wear a lot of hats in procurement, and we’re stepping up to a new level of evolution.”
Advanced tech for good
And, of course, AI and orchestration are terms on everyone’s lips right now – procurement included. AI is, in Rai Gupta’s words, “a solver”. Many of the blockages and challenges procurement is experiencing as it evolves can be solved, or at least aided, by AI and orchestration. “There’s so much tech out there,” Rai Gupta states. “AI is one such possibility. Every segment of procurement comes with its own risks and requires its own expertise and tool sets.
“To manage that whole ecosystem is where that orchestration comes in. There’s a real beauty in this because it’s collaborative. It makes the whole bigger than its parts.”
The growth of international trade and global mobility has fueled the demand for efficient cross-border payments solutions. Legacy systems are…
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The growth of international trade and global mobility has fueled the demand for efficient cross-border payments solutions. Legacy systems are often slow and expensive, with multiple middlemen and complicated procedures.
With its decentralised and secure nature, blockchain technology offers a compelling alternative. Furthermore, as the cross-border payment market is expected to reach $290 trillion by 2030, blockchain and digital payments are emerging as strong contenders to streamline international transactions.
Introduction to Blockchain in Cross-Border Payments
While blockchains are not designed exclusively for payments, they offer a powerful foundation for streamlining cross-border transactions. Unlike traditional banking systems restricted by national borders, blockchains are global by nature. Also, in a blockchain payment system, payers and payees use a shared network with common data formats. This enables direct transactions to and from anywhere.
Traditional card and banking networks are controlled by individual institutions. Blockchains distribute this authority. Anyone with an internet connection can participate in these permissionless networks. Moreover, this removes the control of centralised systems, making them more accessible for both merchants and customers.
Benefit 1: Speed
Traditional reliance on central authorities can slow down transaction processing. For example, depositing a check on a Friday might not show up in the recipient’s account until Monday because of limited bank hours.
Blockchain technology operates 24/7 and enables much faster settlement times. On some blockchain networks, transactions can be finalised in minutes. This efficiency is especially beneficial for cross-border payments.
Benefit 2: Cost Savings
A report by Jupiter Research shows that by 2030, banks could save over $27 billion in cross-border settlements. This efficiency comes from blockchain eliminating the need for intermediaries. Also, consumers often pay banks or notaries for verification, but blockchain removes this dependency and its fees.
Benefit 3: Security
Traditional and centralised databases use a single point of access, making them vulnerable to cyberattacks. Blockchain technology offers a stronger alternative. It distributes encrypted data across a network of interconnected computers.
This system, called a distributed ledger, makes tampering very difficult. Any change would need to be reflected across the entire network at once. Additionally, blockchain allows controlled access. Only authorised participants can see or modify specific data. This granular control significantly reduces the risk of unauthorised access and fraud.
Benefit 4: Transparency
A key strength of blockchain technology is its transparency. This comes from a fully traceable and tamper-proof transaction record. Therefore, every transaction on the blockchain is permanent and unchangeable.
Once verified by the network, it cannot be altered or deleted. This permanence applies even to attempts to modify a transaction. Moreover, hanging it would require altering every single block after it in the chain, a nearly impossible task.
Benefit 5: Improved Liquidity Management
Liquidity describes how easily you can buy or sell something without affecting the price. For digital currencies, more liquidity means steadier prices with less fluctuation.
Blockchain technology has the potential to change how companies handle liquidity. By offering real-time information on a company’s financial health and available cash, blockchain helps treasurers. They get a complete picture of the company’s cash across all entities, departments, bank accounts, and locations, accessible at any time.
Transparency from blockchain technology empowers treasurers to make more accurate cash flow forecasts. It also helps them allocate cash resources more efficiently, for example, in supply chain finance and refinancing activities.
Benefit 6: Reduced Error Rates
Unlike traditional systems where human errors can occur, blockchain uses a network of computers for verification. Thousands of computers on this network work together to confirm each transaction, making errors much less likely.
Even if one computer makes a mistake, it only affects its copy and is rejected by the rest of the network. This strong verification process creates a highly accurate record of information.
Benefit 7: Better Compliance
Financial regulations create a complex compliance challenge for institutions. Blockchain technology offers a solution with its secure, transparent, and permanent record of transactions. It simplifies compliance processes for regulators, who can monitor and audit transactions more easily.
Blockchain can also streamline customer onboarding and anti-money laundering (AML) efforts. Secure identity management using blockchain streamlines these procedures and guarantees accurate records.
Conclusion
Blockchain technology promises a future of secure, efficient, and streamlined cross-border payments. With its shared record of transactions, it significantly reduces fraud and data breaches. By removing middlemen, blockchain also allows for faster, cheaper transactions with greater transparency throughout.
Banks are adopting artificial intelligence (AI) technology to provide more personalised experiences. A study by the AI Development Company projects…
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Banks are adopting artificial intelligence (AI) technology to provide more personalised experiences. A study by the AI Development Company projects that 75 percent of financial institutions will invest $31 billion in integrating AI into their existing systems by 2025. The trend is driven by customer demand for faster and more convenient banking options.
AI excels at analysing enormous amounts of data. This lets banks find patterns and trends to personalise customer service and boost efficiency. For example, AI-powered chatbots offer 24/7 help with basic questions, freeing up customer service staff for trickier issues. AI can also analyse customer behaviour to predict their needs and suggest relevant services or support, from personalised investment options to flagging suspicious account activity.
Benefit 1: Increased Efficiency
Long wait times and impersonal interactions often leave customers frustrated with traditional bank customer service. Fortunately, AI streamlines the experience by providing quick and accurate answers. It eliminates the need to navigate complex phone menus.
AI personalises interactions and saves customers from endless button-pressing and long hold times. AI in customer service can also analyse vast amounts of customer data. The data helps banks anticipate customer needs and recommend tailored solutions, preventing problems before they arise. This results in higher customer satisfaction and a smoother banking experience.
Benefit 2: Personalisation
AI can analyse vast amounts of customer data, including purchases and browsing habits, to create detailed customer profiles. These profiles help banks recommend relevant products and services that fit individual needs.
For instance, a customer who often pays bills online might be recommended a new budgeting tool. Similarly, someone who regularly saves for travel could receive information about travel insurance or currency exchange. These personalised suggestions can come through various channels, like the bank’s website, email alerts, or chatbots.
Benefit 3: Cost Savings
Cost savings are a major advantage of AI-powered customer service in banking. One key way AI achieves this is through automation. Chatbots powered by AI can handle many routine customer inquiries, freeing up human agents for complex issues. This reduces labour costs while also improving response times.
AI also helps with better staffing management. It can analyse past data to predict how many calls are coming in. Banks can then ensure they have the right number of agents available, avoiding overstaffing or understaffing that can significantly impact costs.
Benefit 4: 24/7 Support
Traditionally, reaching a support agent often meant waiting on hold during peak hours. However, AI in customer service is transforming the industry by offering immediate assistance through chatbots. These virtual assistants provide instant support the moment a customer reaches out.
Unlike human agents with limited working hours, chatbots are available 24/7. This ensures customers get help whenever they need it, regardless of location or time zone. This is especially valuable in the globalised world, where customers might need support outside of regular business hours.
A great example of this success is Photobucket, a media hosting service. After implementing a chatbot, they offered 24/7 support to international customers. This results in a three percent increase in customer satisfaction scores along with a 17 percent improvement in resolving issues on the first try.
Benefit 5: Multilingual Support
AI-powered chatbots offer multilingual support, breaking down language barriers and creating a positive banking experience. These chatbots can figure out a customer’s preferred language at the start of a conversation. This ensures clear communication, no matter what language the customer speaks.
Conclusion
A study by Global Market Insights predicts the conversational AI market will reach $57.2 billion by 2032. This technology is making big strides in banking, particularly by automating routine tasks and inquiries. By taking care of these repetitive tasks, AI frees up human agents to focus on more complex customer issues. This improves efficiency and helps banks manage their operating costs. A streamlined customer service experience builds trust and loyalty, which can lead to business growth for financial institutions.
A revolutionary trend has emerged and revolutionised the banking sector. Neobanking has changed market demand and become a consumer favourite….
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A revolutionary trend has emerged and revolutionised the banking sector. Neobanking has changed market demand and become a consumer favourite.
Neobanks, or digital banks, offer banking services without physical presence. Unlike traditional banks, which require customers to access services on-site, neobanks can process all services online.
These solutions address the challenges of extensive physical infrastructure and aim to offer more user-centric services. Neobanking offers 24/7 operational access, lower fees, higher interest rates, enhanced customer service, innovative features, and more.
Current Trends in Neobanking
One of the many advantages is seamless digital wallet experiences. Customers can use international payments with competitive exchange rates and lower fees than traditional banks. Another advantage of neobank services is instant loans. This feature makes credit more accessible, including to those traditionally underserved.
Cryptocurrencies and blockchain adoption are growing in neobanking. Digital banks integrate blockchain for secure transactions and smart contracts. Cryptocurrencies like Bitcoin and Ethereum enable global transactions without intermediaries. As regulators adapt, neobanking harnesses blockchain’s potential for decentralised finance (DeFi) and offers access to lending, staking, and yield farming.
Technological Advancements
Neobanks apply the latest technological developments to enhance their services, utilising advancements like Artificial Intelligence (AI) to create personalised systems. Through machine learning, neobanks leverage algorithms for credit scoring, risk assessment, and fraud detection, improving their decision-making processes.
These technologies also strengthen customer service through chatbots, enhance risk assessment and credit scoring, and provide personalised financial advice. Furthermore, AI-driven insights enable neobanks to offer more relevant products and services, boosting customer satisfaction and loyalty.
Market Dynamics
The neobanking market is expected to grow at a CAGR of 35.8 percent during 2023-2030 due to increasing financial digitalisation, as predicted by UnivDatos. The neobanking market is expected to grow at a CAGR of 35.8 percent during 2023-2030 due to increasing financial digitalisation, as predicted by UnivDatos.
The growth can be attributed to the convenience neo-banks offer, such as 24/7 access to services through mobile apps, allowing customers to manage their finances anytime, anywhere. Neobanks have lower operating costs, due to the lack of physical branches, also contribute to their appeal.
Furthermore, supportive government regulations and investor confidence are crucial to this growth. Governments have introduced regulatory sandboxes to foster fintech innovation, encouraging entrepreneurs and investors to enter the market. The success of companies like Stripe, Chime, and Revolut highlights the potential of neobanks to meet the demand for efficient and cost-effective financial solutions.
The market is characterised by dynamic and rapidly evolving trends driven by technological advancements. For instance, some neobanks are exploring blockchain technology for secure transactions and offering cryptocurrency services. This technology caters to the growing interest in digital assets.
Future Directions
The future of neobanking is poised for transformative growth. Neobanks will increasingly target international markets, adapting services to local regulations and consumer preferences. Moreover, this expansion is set to broaden financial inclusion and capture diverse customer bases.
Machine learning algorithms optimise product recommendations and credit assessments. This technology will also grow the adoption of advanced security measures such as biometric authentication, multi-factor authentication (MFA), and real-time fraud detection systems.
Partnerships and ecosystem expansion will become key to sustained neobanking. Collaborations with fintechs, e-commerce platforms, and traditional banks will broaden offerings. Additionally, this ecosystem integration will offer customers access to various financial and non-financial services.
Conclusion
Neobanking is a disruptive force in the financial industry. It enhances financial management by providing a seamless system. Customers can quickly meet their various needs within reach, from transactions in diverse payments to cryptocurrencies and blockchain. These banks utilise the latest technology to provide data-driven services and products to ensure customer satisfaction.
The market is rapidly evolving, driven by technological advancements and changing consumer preferences. Therefore, as neobanks continue to innovate and adapt, they make financial services more inclusive and accessible.
McKinsey & Co. is seeing an increase in the number of clients seeking artificial intelligence-linked projects, reports Bloomberg. Faster adoption…
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McKinsey & Co. is seeing an increase in the number of clients seeking artificial intelligence-linked projects, reports Bloomberg. Faster adoption of the technology is helping the consulting titan and its peers boost revenue, across industries like Insurtech, following a period of tumult.
About 40 per cent of the New York-based firm’s client projects involve the technology. The number of AI-related customers in the past 12 months is approaching 500, Rodney Zemmel, senior partner and head of the firm’s digital business, said in an interview.
“We believe the long- or the medium-term economic implications are very real,” Zemmel said. He was a final candidate in the recent global managing partner leadership elections at the firm. According to people familiar with the matter, who asked not to be identified discussing confidential information.
Though there’s some degree of hype around AI, “we’re seeing the organisations that are doing that are getting value from it,” Zemmel said. “It’ll be a little longer, and maybe, a little harder than people think, but we’ve got no doubt that the value is there,” he added.
AI adoption across Insurtech
Among those deploying automation rapidly are the traditional and regulated industries such as banking and insurance, Zemmel said. In a June report, Citigroup Inc. said AI is poised to upend consumer finance and make workers more productive. Additionally, with a high potential for 54 per cent of jobs across banking to be automated. Citi also said that the technology could add $170 billion to the industry’s coffers by 2028.
JPMorgan Chase & Co. Chief Executive Officer Jamie Dimon has called AI “critical” to his company’s future success. He also noted the technology can be used to help the firm develop new products, drive customer engagement, improve productivity and enhance risk management.
The surge in automation has come as a relief for the broader consulting industry. It has been battling a slowdown in demand for its traditional services. McKinsey, Ernst & Young and PricewaterhouseCoopers have been cutting jobs to weather the slump. Furthermore, Accenture Plc shares tumbled in March after the company warned it’s seen financial-services customers, including Insurtech, rein in spending on its software.
AI’s rise is also diverting some budgets toward specialist consultancies. Although AI-focused units like McKinsey’s QuantumBlack are growing rapidly, according to Zemmel.
McKinsey – QuantumBlack
McKinsey, which has advised everyone from the U.S.’ Pentagon to China’s Ping An Insurance Group Co., currently has about 2,000 people working across QuantumBlack. It has 7,000 staff in total in tech-related fields, according to Zemmel’s estimates. McKinsey’s headcount stood at about 45,000 globally as of 2023 and revenues were at a record $16 billion.
Zemmel said that the firm is still evaluating how the use of AI will impact its own headcount over the longer run. McKinsey had earlier warned about 3,000 of its consultants that their performance was unsatisfactory and will need to improve.
“We’re certainly planning on being agile about it,” Zemmel said. “One thing that’s clear is everybody in our organization’s going to need to know how to use AI and incorporate in their day-to-day work if they’re going to remain relevant to their clients.”
Alloy, the identity risk management company trusted by over 600 leading banks, credit unions and fintech companies, has released its…
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Alloy, the identity risk management company trusted by over 600 leading banks, credit unions and fintech companies, has released its 2024 State of Embedded Finance Report.
The Report examines the year’s top trends in embedded finance risk management and compliance. Alloy surveyed more than 50 professionals at financial institutions operating bank sponsorship programs in the United States to learn how their businesses are responding to compliance challenges.
The Report is being published at a time when sponsor banks in the US are facing increased regulatory scrutiny. A reported 25.6% of the FDIC’s formal enforcement actions have been directed at sponsor banks since the beginning of 2024.
Alloy’s report found that while embedded finance programs drive significant revenue (over 50%) for sponsor banks, a majority (80%) of respondents reported that meeting embedded finance compliance requirements as a sponsor bank is challenging in the current environment.
“Running a sponsor bank program is inherently complex because you have banks who are highly regulated working with companies that are often new, fast-growing, and creating entirely new ways for consumers to interact with money,” said Tommy Nicholas, CEO and co-founder of Alloy.
“Despite the challenge, we’re already seeing sponsor banks respond to regulatory developments by investing in better controls, training, and adding to their compliance tech stack.”
State of Embedded Finance Report 2024
Here are five of the key findings from Alloy’s State of Embedded Finance Report:
1. Over half of sponsor banks’ deposits and revenue come from embedded finance partnerships.
Partnerships between banks and fintechs are a cost-efficient approach to catalyze growth through increased deposits, seamless UI, and accelerated innovation.
2. As regulatory scrutiny grows, embedded finance partnerships are becoming harder to maintain.
The embedded finance boom resulted in many banks testing the waters of bank sponsorship programs. As the complexity of managing these programs grows, we may see sponsor banks with less sophisticated embedded finance programs and tech stacks leave the space entirely.
3. Respondents cite reputational damage as the top consequence of compliance violations.
Reputational damage often results in increased regulatory scrutiny, including more frequent examinations and document requests. This heightened oversight can strain resources and pose ongoing operational challenges.
4. 90% of financial institutions face challenges when meeting compliance requirements as a sponsor bank.
Lack of control and audibility over fintech partners’ policy controls were cited as top challenges to meeting compliance requirements. Managing compliance across multiple jurisdictions and adapting to evolving regulatory changes were also top concerns.
5. 94% of respondents say they plan to invest in new compliance technology to help them manage their embedded finance partnerships.
As attention surrounding compliance missteps has grown over the past few years, there are new tech solutions available to help bridge the gap between sponsor banks and fintechs.
Download the Report
Respondents included 51 decision-makers from financial institutions operating bank sponsorship programs in the United States.
Surveys were conducted by The Harris Poll, a leading survey platform for over 60 years.
For further insights you can download the full report here
As digital payments continue their rapid ascent, understanding the accompanying cybersecurity challenges has never been more critical. Furthernore, with Statista…
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As digital payments continue their rapid ascent, understanding the accompanying cybersecurity challenges has never been more critical. Furthernore, with Statista forecasting a robust 9.52 percent annual growth rate for digital payments from 2024 to 2028, the urgency to address these security concerns intensifies.
While this growth brings unparalleled convenience, it also introduces new security vulnerabilities that must be addressed. Cybersecurity is fundamental in safeguarding confidential data against hacking, fraud, and data breaches. Implementing effective cybersecurity measures can also maintain trust between businesses and clients while preventing financial loss. To optimise cybersecurity, identifying the current threats to digital payment systems is a must for businesses and consumers.
Current Cybersecurity Threats
Digital banks face various threats that continually evolve as technology advances. By addressing these challenges head-on, banks can protect their users and continue the growth of digital payment.
Many types of cyber threats can disrupt digital payment systems:
Phishing attacks: These attacks use deceptive emails, phone calls, or texts to trick victims into revealing personal information, such as login credentials and financial details. The scam can lead to other types of cyber threats.
Malware: Malicious software that infiltrates systems to steal data, monitor activities, or lock accounts. Various forms of malwares have different functions, such as Trojans, Worms, and Spyware.
Man-in-the-Middle (MitM) Attacks: intercept communications between the user and the bank allowing attackers to steal sensitive information or funds.
Data breaches: Unauthorised access to digital bank databases exposes vast amounts of sensitive information, including personal and financial data.
Ransomware: It is an attack that employs malware to infiltrate computer systems to steal data, monitor activities, or lock accounts. The attackers then demand payment and keep disrupting the devices/websites until they are paid.
Credential stuffing: Attackers use stolen usernames and password combinations from other breaches to gain unauthorised access to accounts.
DDoS and DoS attacks: Distributed Denial-of-Service (DDoS) attacks overwhelm the bank’s servers, making online services unavailable to customers. Unlike the Denial-of-Service (DoS) attack where a single source is used to flood the target, DDoS use multiple sources of compromised devices (botnets).
Insider threats: Employees or contractors with access to sensitive information may intentionally or unintentionally cause data breaches or other security incidents.
Social engineering: Manipulating individuals into divulging confidential information through psychological manipulation.
Zero-Day Exploits: Attacks that exploit previously unknown vulnerabilities in software or hardware before patches are available.
Cybersecurity Measures
Encrypting data is essential to convert the personal information into a secure format. This encrypted data can only be accessed with the correct key or description. This ensures that the data remains secure and unreadable after interception.
Multi-Factor Authentication (MFA) adds a layer of security by requiring some form of verification before granting access to the platform. Tokenisation replaces critical payment data with a unique or random token that cannot be hacked once intercepted.
Biometric verification, such as fingerprint and facial recognition, provides additional security by utilising unique physical characteristics. These include the shape of the face and the outline of a fingerprint, both of which are difficult to replicate.
Financial institutions have also innovated to improve cybersecurity by implementing artificial intelligence (AI). For example, JPMorgan Chase has implemented an AI-driven fraud detection system. This application is used for monitoring transaction activity in real-time. It can also detect potential threats or fraudulent transactions using the data analytics tool.
Regulatory Requirements
Financial companies are obligated to meet regulatory compliance. It is important to build customers’ trust and avoid legal or financial penalties. For global financial institutions, regulatory issues might be more complex as each country has its version of rules. As cyber threats evolve, regulators continuously update and enforce these requirements to address new challenges in digital payment systems.
For instance, UK regulations have set strict rules to ensure the security of digital payments. These include data protection measures, and companies that do not prioritise cybersecurity will face substantial fines. Similar regulations have been implemented across European Union (EU) Member States, compelling financial institutions to enhance cybersecurity to create a safe digital payments environment for consumers.
FinTech Strategy met with Stiven Muccioli, Founder & CEO at BKN301, to discuss digital payment services connecting North Africa, the…
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FinTech Strategy met with Stiven Muccioli, Founder & CEO at BKN301, to discuss digital payment services connecting North Africa, the Middle East, and Europe.
BKN301 Group is a London based fintech provider that offers Banking-as-a-Service, connecting North Africa, the Middle East, and Europe. The company aims to address the financial inclusion gap in these regions. It provides digital payment and banking platforms to unbanked populations. BKN301 has successfully partnered with fintechs in Egypt and Qatar, serving millions of customers and providing access to financial services. They are also focused on expanding their market in Europe. The company aims to become a leader in the industry and bridge the gap between Europe and the Middle East.
At Money20/20 Europe, FinTech Strategy spoke with BKN301 Founder & CEO Stiven Muccioli to find out more…
Tell us about the genesis of BKN301…
“I launched the company in 2021 with the vision to create the biggest tech provider for a digital banking service connecting North Africa, the Middle East, and Europe. We are looking at the demographic sheet of the world… In Europe, we are overserved by the banking system and it’s quite tough to create new projects in the FinTech space. It’s hard to scale past Europe, into the Middle East and North Africa. Ours is an operation in its early stages. There is a huge penetration with mobile devices in the Middle East and North Africa, but at the same time there are a huge amount of people unbanked.
So, we have created the platform to allow digital banks to start fast and with low cost. Basically, we are the ‘backbone’ for the new digital banking era in the Middle East and North Africa. We also work with many companies across Europe. However, we are very focused on the connection between the Middle East, North Africa and Europe. Also, we are focused on the remittances business and cross-border payments because many working abroad in Europe don’t have access to the banking system in Europe. And there are many digital banks in Europe trying to fulfil this gap for new customers.”
Tell us about your career journey…
“I began 15 years ago in the startup business and founded two other companies. The first one, Tippest, was a copycat of Groupon in Italy. This was founded with a group of friends in 2011 and we were able to scale successfully, leading to its sale in 2015. Following that, I moved to the US where I spent some time as an angel investor. In 2016 I came back to Italy to start a new company. It was a corporate venture operation inside of the Iccrea Bank, one of the biggest banking groups in Italy. We created a company named Ventis. It delivered the first super application that merged e-commerce and the digital bank.
We created a platform capable of delivering an e-commerce service, and at the same time digital banking services, payment cards, accounts and more. We managed this part of the business for the Group and reached good numbers. In 2020, we sold the company and today it is the third biggest payment player in Italy.”
Tell us about some of the successful partnerships BKN301 has been involved in…
“We have seen great successes with key partners such as Damen. Damen is a e-payment company in Egypt serving 18 million customers. Thanks to our technology, they are able today to provide a digital payment application to millions of Egyptians. They are now connected and have access to a range of financial services to save money and receive remittances from Europe and across the Gulf. A very successful story in terms financial inclusion.
It’s the same in Qatar where we serve a partner that provides service to labourers and construction workers – there are around 700,000 such workers in Qatar. A good example of financial inclusion because we provide the platform for a low-cost digital banking platform connecting unbanked people to Europe.”
What are some of the key challenges financial institutions are facing that you can help them with? What problems are companies asking you to solve?
“At BKN301, we’re focused on our technology and building an ecosystem based on APIs so we’re able to provide those APIs to digital banks – with us, they save time and money. So, the integration cost is far less than a traditional integration cost. They’re able to work multi-market because we are in different markets and they won’t have any legacy agreement with big corporates. We provide APIs so they can develop and use them for core banking and processing.”
What trends are you seeing across the FinTech landscape? What opportunities do you see for BKN301?
“Every year there is a new wave of news, but we don’t know how long each trend will it last… A couple of years back blockchain was at the core and everyone want to add a feature, sometimes without any reason. Now it’s the same with AI. To build a concrete platform on AI or on blockchain, you need many years, and a lot of investment, to be focused. I don’t believe companies that come out after six months saying they are now AI based. It’s impossible to build a real platform based on AI that quickly. We need to define the real companies. So, which one has the mature technology. It’s a good wave and I think there is a huge need. For example, anti-money laundering controls driven by AI could be a game changer.”
And what’s next for BKN301? What future launches and initiatives are you particularly excited about?
“This year we want to get more established in the market in Europe, so we will be focused on expansion. The goal for us is to become the door, the access bridge, between Europe and the Middle East. We aim to become a backbone for the new financial ecosystem across the region.”
Why Money20/20? What is it about this particular event that makes it the perfect place to showcase what you do?
“Every year there is a new wave of news… A couple of years ago blockchain was at the core and everyone wanted to add some feature on blockchain, sometimes without any reason. And now it’s the same with AI. To build a concrete platform on AI, or on blockchain, you need to be focused for years and have a lot of investment – it can’t be done in six months. So, as with blockchain, we need to define the companies making real progress with established technology based on AI, the same as we did with blockchain. It’s a good wave that can meet a huge need, for example with anti-money laundering controls, and Money20/20 is a great place to learn more about where the industry is at today.”
We chatted with Johan-Peter Teppala from Sievo about why procurement needs to use technology wisely.
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When CPOstrategy attended the DPW NYC Summit back in June, one of the buzzwords of the day was trends. Trends in procurement, trends in technology, and how to combine the two. The event was filled with productive discussions around how procurement can benefit from data and advanced technology. This led to a hopeful vibe throughout the day, despite and because of acknowledgements of procurement’s shortfalls.
We caught up with Johan-Peter Teppala, Chief Customer Officer of Sievo, at the NYC conference. For Teppala, that hopefulness is something he took away from the event. “It is great to see so many companies out there with keen interest in adopting new securities and technologies,” he says. “Procurement has increasing demand to do more with less, which explains also the need for technology to drive efficiency and to deliver more. I think it’s just inertia that’s slowing us down.”
However, advanced technology is helping shift the inertia that’s so prevalent across procurement. “Developments in GenAI have been exceptionally fast, especially recently,” Teppala adds. “With an increasing amount of practical Gen AI use cases, this has become a topic that touches each and everyone in procurement. At Sievo, we are dedicating R&D budgets to AI innovations. We have quickly been able to ramp up many practical use cases for our clients to deliver business value in this area.”
Using data and technology wisely
Teppala continues: “Sievo strives to withhold our position as the leading Procurement Analytics partner for large enterprises. We are driven by the goal to close the data-to-action gap. We believe analytics alone has zero value, it’s the actions that we take that drive the value.” This was a topic that was repeated several times during the DPW NYC Summit.
“As a result, SIevo’s goal is to ensure our customers can use their time most efficiently. We help them make business-impacting decisions and best use their expertise, whilst Sievo automatically surfaces insights that they can take action on. First and foremost, our work is about carving out insights. And once you have those insights, how do you automate those actions to create opportunities? That’s definitely one thing we’re keen to solve.”
Sievo is also focusing its attention on gen AI – how it can be adopted and what the use cases are. “AI for data cleansing has been around for a while,” says Teppala. “Right now, Gen AI is getting really good traction from a technology point of view. It’s not just insights, but adopting AI into chat interfaces, and reaping the benefits with implementable actions. It’s amazing.”
The changing talent landscape
The increased adoption of AI is going to also change the talent landscape within procurement. Another heavily-discussed topic during DPW NYC was the talent shortage and how it has the potential to slow procurement down. However, advanced technology may be the thing that accelerates it once again.
“The talent you need is changing,” says Teppala. “The procurement mandate has widened beyond delivering cost savings. Now, it’s also about driving sustainability initiatives, emission reductions, increasing diverse spending, and preventing supply chain risks. Procurement has to be creative and resource-effective for reaching ideal outcomes. This is a big challenge but also a big opportunity and also impacts the talent needed in procurement.
“You don’t necessarily need to hire superstars who know everything. It’s about teamwork. Building a procurement team out of people who possess all these modern talents, who can support each other. I can’t know whether this is going to solve the talent shortage, but at least we’re shifting towards a different kind of talent as capabilities change.
Teppala concludes: “We need to be thinking more about what kind of team we actually want to build – not just what kind of really good, talented individual we can find.”
The insurance sector is witnessing a growing adoption of digital insurance solutions. Machine learning (ML), artificial intelligence (AI), and embedded…
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The insurance sector is witnessing a growing adoption of digital insurance solutions. Machine learning (ML), artificial intelligence (AI), and embedded insurance are at the forefront of this wave across InsurTech.
According toAcumen Research and Consulting, the InsurTech market is expected to reach $166.4 billion by 2030. This projection is reinforced by a high compound annual growth rate (CAGR) of 39.1 percent anticipated between 2022 and 2030. This growth is attributed to a surge of insurance technology innovations.
Introduction to InsurTech
InsurTech, short for “insurance technology,” combines traditional insurance practices with cutting-edge advancements in AI and blockchain. It plays a key role in transforming the insurance industry by making it more efficient, transparent, and accessible. Furthermore, automation, improved risk assessment, and tailored coverage options ensure the digital insurance industry meets evolving consumer demands.
Digital Transformation
InsurTech is a driving force behind the digital transformation of the insurance industry. This transformation isn’t just about software upgrades or automation. It’s a strategic shift that revamps core operations and how insurers deliver value to customers.
Today’s consumers demand personalisation, speed, and convenience in everything, including insurance. They expect instant access to policy details and quick claims resolution—areas where traditional systems struggle. InsurTech empowers insurers to meet these changing demands by enabling customised interactions and faster service.
Customer Experience
InsurTech companies are transforming customer interactions with insurance. Convenience, speed, and personalisation are now priorities.
This change is driven by a focus on improved customer experience. Digital platforms and mobile apps from InsurTech firms make buying policies, managing them, and filing claims easier. Self-service tools and chatbots provide instant support and assistance, reducing the need for traditional customer service channels.
Efficiency gains with InsurTech
A crucial element of InsurTech’s contribution to the insurance industry lies in claims management. InsurTech streamlines insurance claims by automating tasks with AI and ML. This means faster claim assessments, processing, and payouts for policyholders.
InsurTech also boosts efficiency for insurers by automating tasks, which can lead to lower operating costs. These lower costs could potentially translate to reduced premiums for consumers. Consequently, digital insurance becomes more accessible and cost-effective.
Case Studies
Several insurance companies are demonstrating success through innovative InsurTech solutions.Chapter, for instance, uses online tools to connect users with advisors and advocates. These experts help people navigate the complexities of enrollment. They ensure people understand their options, deadlines, and how to choose the right plan for their needs.
Health plan selection is another area where InsurTech is making a difference.GoHealth utilises a sophisticated platform powered by ML algorithms to match consumers with plans tailored to their unique needs. Licensed agents and dedicated telecare teams offer support throughout the selection process and beyond.
Future Prospects
InsurTech presents a future brimming with possibilities for the insurance industry. However, as more processes become digital, security concerns come into focus. Future Processing’s InsurTech survey revealed that81 percent of respondents believe insurers need stronger cybersecurity policies.
This underlines the need to revisit cybersecurity practices as digital transformation progresses. Looking forward, developments in AI and tools like ChatGPT, along with data privacy concerns, suggest quality will be the foundation of InsurTech’s future. By focusing on high-quality data and strong security, insurers can gain deeper customer insights and significantly improve the customer experience.
For a company like TealBook, data is king. The organisation helps businesses to navigate the complex supplier landscape by offering…
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For a company like TealBook, data is king. The organisation helps businesses to navigate the complex supplier landscape by offering a foundation of high-quality data. This is something that’s often sorely missing in procurement.
“We have a data problem,” Stephany Lapierre, CEO and Founder of TealBook, told us when we caught up with her at the DPW NYC Summit in June. “It’s always been my view that we don’t have a software or people problem – it’s data. If we could achieve better data – no matter the data stack, no matter the maturity, no matter the vertical – it would be truly transformative.”
Creating a data foundation
Lapierre has watched procurement’s attempt to tackle advanced technology without good data. Simply buying software is the easy part. Some have even tried to build their own architecture around that software. However, that’s often unsuccessful and highly manual. This is what led to the creation of TealBook.
“We’re in this pursuit of how we can deliver to the market,” Lapierre states. “We’ve been building a trusted data foundation for eight years.” More recently, the second version of TealBook’s service is significantly more powerful than the first. This allows it to ingest data at speed and set up new data sources within a couple of hours. “The more data sources, the more suppliers we’re covering, the more attributes per supplier. And, the more signals to improve the TrustScore and the confidence behind the quality of our data.”
Never ignore the fundamentals
The fact that quality data is all too often overlooked in procurement in favour of advanced technology was something of a theme at the DPW NYC Summit. The opinion of Lapierre is that there’s little point in implementing advanced tech without first having usable data in place. Many others at the event felt the same.
“It’s like buying a house because you love the house, but paying no attention to its foundation, plumbing, or electrics,” she explains. “Procurement has been buying up technology solutions, wanting to see the workflow, the UI, what it can do. However, people aren’t asking where that data comes from. How is it being evaluated? What about the compliance side of having suppliers populating a portal?
“Procurement has more and more requirements to get more and more data, so filling the gaps becomes more difficult. There are also increasing demands for transparency, and for regulators to have better quality information. When you’re reporting something, you have to really trust that information. That’s how you give confidence to your board or leadership team.”
A shift in focus
The upside of this disconnect is that Lapierre fully expects the pursuit of better data to be a key trend in procurement over the next few years. “I’ve found that no-one talks about the data layer in procurement,” she states. “They brush it under the rug or underestimate how critical it is to use data to feed large language models for better insights. As data becomes more accessible, the need for a trusted data foundation becomes more important. You need good data posture.”
With this very topic being discussed openly at prestigious events like the ones DPW hosts, procurement professionals and leaders are actively working towards solving this blockage. “The problems have to be solved in order to leverage the exponential value of Gen AI, automate workflows, and bring intelligence in across all these functions,” Lapierre continues.
“Consider: what would it mean to your business if you could actually solve that data problem, drive better outcomes, and truly digitise the procurement function?”
Embedded finance is transforming e-commerce for the better. It enables online businesses to offer payment processing, lending, insurance, and other…
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Embedded finance is transforming e-commerce for the better. It enables online businesses to offer payment processing, lending, insurance, and other financial services within their own platforms as a non-finance platform. The convenience and efficient shopping experience offered is changing the way people shop and how e-commerce businesses operate.
The companies that implemented embedded finance have seen significant growth in conversion rates of up to 12 percent, the average order value of up to 30 percent, and as much as a 7 percent incremental revenue. Brain & Company’s 2022 report also projected the embedded finance market value to grow to $7 trillion by 2030, indicating an increasing demand for this service.
Embedded Finance benefits
Embedded finance offers integrated payment solutions for e-commerce businesses. Customers can access financing options at the point of sale without switching to other platforms. This seamless experience makes it easier for buyers to complete their purchases, ensuring revenues for the businesses.
This integration provides better access for financial products, especially digital banking. Commonly, digital bank accounts are easier to set up than their traditional counterparts. It allows non-banking populations can easily make their purchase in e-commerce platforms.
Embedded finance opens new sales and revenue stream opportunities for e-commerce businesses. They provide sellers with working capital loans based on sales data, enabling them to earn additional revenue through interest and fees. The integration also increases customer retention as they are less likely to switch to competitors. This leverage offers long-term success in a competitive market.
Personalisation is another embedded finance’s strong suit. E-commerce businesses can use the customer’s data from their platforms to offer financial products tailored to their needs, creating a better customer experience.
Accenture found that 63 percent of consumers are more likely to buy a financial product from non-financial platforms that they trust. This report emphasises the importance of personalised embedded finance in generating more financial product sales.
Case Study: Amazon
One of the e-commerce platforms that successfully uses embedded finance isAmazon. In 2007, it launched Amazon Pay, allowing users to make purchases on external sites using their Amazon account details. This move not only expanded Amazon’s revenue opportunities but also strengthened customer loyalty.
Over the years, Amazon has continued evolving its embedded finance offerings, including one-click payments, buy now pay later, and lending services. Their latest venture involves a cash advance program in partnership with fintech company Parafin, which provides select sellers easy access to capital without interest or collaterals.
Case Study: Shopify
Shopify also creates a good embedded finance ecosystem with its various financial products. The Canadian e-commerce platform launched Shopify Payments in 2013 to simplify payment. This was followed by Shopify Capital in 2016, a lending product now available in four countries. The latest addition is Shopify Balance, a financial product offering a bank account and a debit card for managing financial activities.
Shopify earns most of its revenue from “merchant solutions” rather than just e-commerce software. This segment, which includes financial and fulfilment services, is growing much faster than its SaaS offerings — 29 percent compared to 8 percent as of Q4 2022, according to the company’s financial report.
Future Outlook for Embedded Finance
The future of embedded finance seems promising, with experts projecting an increase in demand and market share. As customers expect better integrated financial solutions, many companies will continue to adopt this system.
Embedded finance will also continue evolving with new technological advancements like artificial intelligence (AI) and machine learning (ML). Both AI and ML are projected to play a significant role in increasing efficiency, security, and sales for embedded finance in the future.
To maximise the benefits of embedded finance, financial institutions and e-commerce businesses should collaborate to anticipate possible hurdles. Regulatory and compliance challenges are one of the complex issues that may hamper its development.
E-commerce platforms should also ensure their new sophisticated solutions are scalable. As new financial technology is adopted, the platforms should be capable of managing increasing transaction volumes without sacrificing performance or security.
With the growing popularity of digital payments, cybercriminals have found a lucrative target. Cybersecurity data breaches rose sharply by 72%…
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With the growing popularity of digital payments, cybercriminals have found a lucrative target. Cybersecurity data breaches rose sharply by 72% in 2023 compared to the previous record-breaking year. This shows the need for financial technology companies to implement strong banking security.
While digital payments offer benefits, businesses must protect themselves and their customers from cyber threats. Understanding the common cyber threats and implementing effective countermeasures are key to long-term success.
The Importance of Cybersecurity for Digital Transactions
With the increasing reliance on online platforms for financial activities, the risk of cyberattacks has grown exponentially. These attacks can lead to significant financial losses, damage to reputation, and erosion of customer trust. From identity theft to data breaches, the consequences of compromised security can be severe.
To prevent such consequences, cybersecurity measures are required for every financial institution. By applying cybersecurity best practices such as encryption, strong authentication, and regular security audits, organisations can protect customer data, prevent fraud, and maintain operational resilience.
Threat Landscape
Cybercriminals employ various tactics to exploit vulnerabilities in digital systems. Phishing attacks, a common method, deceive users into divulging sensitive information through fraudulent emails or websites. Another prevalent threat is ransomware, where cybercriminals encrypt a victim’s data and demand payment for decryption.
Additionally, unauthorised access to accounts through stolen credentials can lead to financial loss. These cyber threats highlight the need for a security framework to protect digital transactions against malicious activities.
Best Practice 1: Encryption
Cybercriminals can easily exploit vulnerable systems, leading to substantial financial losses and reputational damage. A data breach can cost millions of dollars to rectify, including expenses for recovery and ransom payments. A recent IBM report indicates that the average global cost of a data breach exceeds $4.45 million.
Encryption safeguards sensitive information by transforming it into an unreadable format, accessible only to authorised parties possessing the correct decryption key. This cryptographic process employs complex algorithms and keys to safeguard data integrity and confidentiality.
Best Practice 2: Multi-Factor Authentication
Cybercriminals can easily steal passwords and pins through brute-force attacks, systematically testing numerous combinations until successful. Multi-factor authentication (MFA) offers a robust defence against this threat.
Requiring users to provide multiple forms of identification strengthens account security. This authentication combines different types of verification. This includes information only the user knows, like passwords, items the user possesses, such as security tokens, and unique physical traits, like fingerprints.
By requiring multiple verification steps, banks and financial institutions create a formidable barrier against unauthorised access to sensitive information and funds. Additionally, multi-factor authentication enhances user account management by requiring unique authentication factors for each individual.
Best Practice 3: Employee Training
Organisations with regular cybersecurity training experience a 40% reduction in security incidents compared to those without, according to This emphasis on employee education is justified as human error remains a primary target for cybercriminals.
Hackers frequently exploit employee vulnerabilities through tactics like phishing, social engineering, and other deceptive methods. By training employees to recognize these threats, financial institutions can mitigate the risk of data breaches and financial losses.
Such incidents can result in substantial financial losses and damage to an institution’s reputation. Consequently, comprehensive cybersecurity training is essential for all bank employees to mitigate these risks.
Best Practice 4: Regular Security Audits
A security audit is an evaluation of an organisation’s digital infrastructure, designed to identify vulnerabilities that could compromise digital transactions. This process involves examining security policies, testing safeguards, and ensuring compliance with industry regulations.
Given the escalating complexity of cyber threats, financial institutions must prioritise regular security audits. Banks can uncover weaknesses before malicious actors exploit them by scrutinising systems and processes.
Regular security audits empower organisations to proactively strengthen defences by implementing essential safeguards such as firewalls, antivirus software, and antimalware solutions. To ensure impartiality and objectivity, it is essential to engage an independent expert to conduct these assessments.
Best Practice 5: Incident Response Planning
As the frequency and sophistication of cyber threats continue to rise, the need for robust defences becomes increasingly critical. Safeguarding digital transactions requires a proactive approach, including a well-defined incident response plan.
An incident response plan is a crucial component of any organisation’s cybersecurity strategy. This formal document outlines strategies for preventing, detecting, and responding to security breaches that could compromise financial data. By establishing clear protocols and assigning specific responsibilities, banks can minimise the impact of cyberattacks and protect both their reputation and customers’ assets.
To be effective, an incident response plan must be established in advance and assigned to specific teams. By following established frameworks, such as those provided by the National Institute of Standards and Technology (NIST) and SANS, organisations can develop comprehensive plans. These resources offer detailed guidance on handling various types of security incidents to ensure a coordinated and efficient response.
Conclusion
Protecting digital transactions requires a multi-faceted approach. Implementing cybersecurity measures is essential for protecting sensitive financial data and maintaining customer trust.
Encryption and multi-factor authentication are foundational elements of a strong security posture. Encryption safeguards data by rendering it unreadable to unauthorised individuals, while multi-factor authentication adds an extra layer of protection by requiring multiple forms of verification. These are just two examples of critical best practices financial institutions should adopt.
Financial institutions must prioritise cybersecurity to maintain customer trust and protect their bottom line. By investing in advanced security measures and staying vigilant against emerging threats, organisations can effectively mitigate risks and ensure the integrity of digital transactions.
The growing complexity of financial markets presents new challenges for asset and wealth managers. Therefore, to navigate this evolving environment,…
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The growing complexity of financial markets presents new challenges for asset and wealth managers. Therefore, to navigate this evolving environment, many are embracing artificial intelligence (AI) for assistance with investment decisions. AI acts as a powerful tool, improving efficiency and effectiveness across various aspects of asset management.
From analysing market trends to building diversified portfolios, AI’s strength lies in processing massive amounts of data. Furthermore, it uncovers hidden patterns empowering managers to make data-driven investment choices across financial services.
Introduction to AI in Asset Management
Asset management involves managing investment portfolios for individuals, institutions, and businesses. This includes stocks, bonds, real estate, and other financial assets. The main goal is to grow value over time while minimising risk and meeting client goals.
AI is transforming asset management with its data processing and analytics capabilities. Additionally, AI algorithms can quickly analyse massive amounts of financial data, market trends, and economic indicators. This helps uncover hidden patterns and connections that human analysts might miss. A data-driven approach empowers asset managers to make better investment decisions and develop more accurate market forecasts.
Portfolio Management
AI is transforming asset management by offering powerful tools for better decision-making. Moreover, machine learning (ML), AI analyses vast amounts of historical market data to identify patterns and predict future trends, providing valuable insights for building portfolios.
Natural language processing (NLP) lets computers understand human language. NLP can unlock information from unstructured sources like news articles, social media, and analyst reports. The algorithms then analyse sentiment and extract key information that feeds into portfolio decisions.
AI optimisation algorithms help construct optimal portfolios. These algorithms consider risk tolerance, return goals, and investment limitations. By using these tools, portfolio managers can create portfolios designed to maximise returns while minimising risk.
Risk Management
AI is changing how investment decisions are made. The AI algorithms can analyse massive amounts of historical market data and complex risk models.
The analysis provides a deeper understanding of individual asset risk and the overall portfolio’s exposure. With this knowledge, investment managers can proactively identify potential risks and develop strategies to lessen them.
AI offers real-time risk monitoring. An AI-powered system continuously tracks portfolio performance, alerting managers to any significant changes in risk. This allows for swift adjustments as market conditions evolve.
Automated Trading
Traditional automated trading tools execute trades based on pre-programmed instructions from human traders. These tools function within the parameters set by the user and can’t analyse markets on their own.
AI offers truly independent systems with tools that can analyse markets using technical and fundamental analysis with minimal human input.
AI uses sentiment analysis, ML, and complex algorithms to process vast amounts of information and identify trends. This data-driven approach removes the emotional bias that can affect human traders.
Case Studies
The asset management industry is seeing a rise in firms using AI to improve performance. A recent example isDeutsche Bank’s collaboration with NVIDIA. This multi-year project aims to integrate AI across their financial services. This includes virtual assistants for easier communication and AI-powered fraud detection. The bank expects faster risk assessments and improved portfolio optimisation.
Morgan Stanley is also making strides in AI adoption. Partnering with OpenAI, their financial advisors now have access to a massive research library at high speed. Advisors can explore client portfolio strategies and find relevant information in seconds, leading to better-informed advice.
Future Prospects
APwC report predicts artificial intelligence will significantly boost global GDP, contributing up to $15.7 trillion in 2030. This advancement could reshape asset management in the coming years, leading to entirely new business models and investment strategies.
One future possibility involves fully automated investment platforms powered by AI. These platforms would manage investment portfolios with minimal human involvement and use real-time data analysis to create personalised investment plans.
Moreover, AI could pave the way for more dynamic investment strategies that respond to market changes. By constantly analysing market conditions, AI can automatically adjust investment portfolios to optimise returns and minimise risks. This could lead to more resilient and adaptable investment systems that are better equipped to navigate various market environments.
Standard Chartered has joined a suite of other institutional investors in the Digital Transformation platform United Fintech United Fintech is…
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Standard Chartered has joined a suite of other institutional investors in the Digital Transformation platform United Fintech
United Fintech is a London headquartered neutral Digital Transformation platform. It acquires and forms partnerships with fintech companies in the capital markets space. It is creating a fintech one-stop-shop to innovate with businesses. This is driven by collaboration with other cutting edge technology providers for the benefit of banks, hedge funds and asset managers.
Digital Transformation
The investment supports Standard Chartered’s ambitions to contribute to the advancement of digital transformation. Furthermore, these solutions work across capital markets, wholesale banking and wealth management, and the broader financial services arena.
As part of the investment Standard Chartered has been granted Board observer rights and subject to fulfilment of certain pre-conditions, will be offered a rotational Board seat. Additionally, this will enable it to share existing expertise and contribute to decisions around the platform’s strategic direction.
Stabdard Chartered
“We have been impressed by the growth in United Fintech’s portfolio of innovative, engineering-led technology companies. Standard Chartered share their vision for how technology can transform and disrupt market structure and infrastructure,” said Geoff Kot, Global Head, CIB Business Platforms & Partnerships at Standard Chartered. “We look forward to partnering with them as we continue on our journey of digital transformation.”
United Fintech
“The investment underscores Standard Chartered’s commitment to accelerate digital transformation. Also, it highlights their forward-thinking approach to collaborative innovation,” said Christian Frahm, CEO and Founder of United Fintech. “We are an Asia-focused multinational bank with an expansive footprint in Asia, Africa, Middle East, Europe and Americas. We are thrilled to have them complete our circle of global investors, joining Citi and BNP Paribas. They initially invested in February 2024, as well as Danske Bank, who followed in May.”
About United Fintech
Founded in 2020, United Fintech is an industry-neutral Digital Transformation Platform. Here, global financial institutions and cutting-edge technology providers come together to unleash their full potential and enable the future of finance.
“The financial services sector is a large part of any nation’s economy. Moreover, this sector to continue to thrive, we want to match the knowledge and expertise of our financial service providers with data-driven innovation to create an efficient symbiosis between customers, banks, and technology.”
Our cover story this month focuses on the work of Chief Information Officer Simon Birch and Chief Customer & Transformation…
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Our cover story this month focuses on the work of Chief Information Officer Simon Birch and Chief Customer & Transformation Officer Danielle Handley leading Bupa’s digital transformation journey across APAC and delivering a positive impact with its Connected Care strategy.
Welcome to the latest issue of Interface magazine!
“ConnectedCare is our primary mission and we’ve been spearheading time, investment and creativity to reinvent and reinvigorate customer experiences,” says APAC CIO Simon Birch. “Delivering that ConnectedCare proposition to our customers is made possible by the collegiate focus of the organisation. Ultimately, what we’re able to achieve is supporting our most important colleagues, our healthcare practitioners working across our facilities.”
Reflecting on that transformation goal, Chief Customer & Transformation Officer Danielle Handley believes that stakeholder engagement and alignment, while building relationships across the enterprise, have been key to their early success. “We’ve found the champions within the enterprise who are going to form part of the coalition of the willing to start to lead transformation here at Bupa.”
Vodafone: Personalising Embedded Insurance
Halil Teksal, Global Head of Fintech at Vodafone, discusses disruption in insurance, personalisation, and giving customers exactly what they need at the right time. “The main thing we’re aiming for is simplicity. How can we have really easy-to-use personalised solutions? At the end of the day, that’s what customers want. When they buy a smart device, they want to buy the insurance quickly from a reliable provider. It’s important that we satisfy all of those needs.”
Walden Group: Advanced technology for a healthier tomorrow
Denis Connolly, CIO of Walden Group and CEO of Walden Digital, talks about the incredible work the organisation is doing to leverage data and technology for the overall improvement of the world’s health. “We’ve created all these new initiatives just in the last year or so, moving from technology being a cost centre to being an R&D and development-focused organisation.”
Also in this issue, Samer Fouani, Head of Cyber Transformation & Identity Access Management at TAL discusses the cyber journey for colleagues and customers at one of Australia’s leading insurers; Mark Turner, Chief Commercial Officer at Pulsant, explores how medium-sized businesses can best leverage new developments in AI; Martin Hartley, Group Chief Commercial Officer of emagine, examined the role of artificial intelligence in personalising the customer experience for financial services and Marius Stäcker, CEO of ToolTime, shares his four top tips for successfully implementing new software and driving digital transformation.
We caught up with Danielle McQuiston from Candex to discuss why procurement is risk-averse, and how the business can help.
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Candex, a B2B fintech company, has been going through some exciting changes recently. In the five years that Danielle McQuiston – its Chief Customer Officer – has been with the business, it’s gone from its venture round to A series in 2021 and into B series, which it closed out in 2023. Its goal is to make life easier for procurement professionals across sectors. This is because having trusted services at their disposal is one step towards changing procurement’s risk-averse reputation.
Candex’s value proposition is as a tech-based master vendor that helps enterprise buyers engage and pay small and irregular vendors through an easy, quick, streamlined process. The obvious ‘low-hanging fruit’ use case at most enterprise organisations is to use Candex to avoid setting up new vendors for small, infrequent purchases.
While tackling this low-hanging fruit demonstrates an immediate benefit, Candex is now taking it a step further. It’s helping enterprise clients understand the additional benefits and value that they can get from the solution. We caught up with McQuiston at the DPW NYC Summit in June, an event which featured innovative solutions in procurement. In particular, AI.
Creating and avoiding risk
“The companies that only go for the easy wins still have tens of thousands of suppliers that they hold in their vendor master. They don’t closely manage them and really don’t know them,” McQuiston says. “At some point, these companies have onboarded a supplier to make a small purchase. When they do, they do minimal checks on the vendors since the purchase is small or one-time only. But now that ‘small’ vendor is in the company’s system for anyone to engage with – sometimes forever. These companies are left with little-known and unmanaged vendors taking up 80% of their vendor master. This, in turn, creates risk for the enterprise.”
Candex can mitigate this risk and empower companies to focus more on strategic relationships. It does this by helping companies offboard their non-strategic vendors, and engage vendors only as needed. Businesses can do this with the confidence that Candex applies robust compliance screening and third-party diligence to all vendors as part of its standard processes.
As a result, Candex has started helping clients realise how they can reach their initial objectives of deriving more value by lowering risk exposure. By helping them focus on strategic suppliers, they can increase their working capital, accelerate the speed of doing business, and support their supplier diversity programs.
“All those aspects are where my focus is currently,” McQuiston explains. “Along with that, over the next few years, we will continue to make the process even more user-friendly. We’ll also further develop our solutions to meet the ever-changing commercial, compliance, and security landscapes. We can make the system even more intuitive, and help our customers streamline internal processes so things are faster and more cost-effective.”
The roadblocks
Implementing technology solutions to improve procurement is the name of the game across the sector, after all. It was talked about extensively at DPW NYC in June, where we spoke to McQuiston about Candex and trends. Unfortunately, there’s a roadblock for the sector, which is that procurement is risk-averse.
McQuiston explains. “We work primarily with Fortune 2000 companies, and I can’t tell you how many I’ve met up with who have outright told me they’re risk-averse. They all think that’s unusual, but they all say it and most of them are the same. It doesn’t matter if you’re in pharmaceuticals or consumer goods or banking – everyone is in the same boat regarding risk.”
This is because, as a function, procurement was created to ensure security of supply, controlling both quality and cost. “Procurement was born out of the supply chain world with a focus on direct spend. Out of the need to make sure prices don’t go up – and, in fact, go down,” McQuiston continues.
“Procurement has always been the enforcer of the financial rules. That’s the only way they were able to have an impact on the business initially. Now, procurement wants a seat at the table and is able to more broadly bring value to the business. In return, businesses are asking procurement to ease their role as the enforcer in order to have that seat. This is tough for procurement because, by nature, they’re nervous about losing control since that is how they have added value in the past.”
Hope is here
This may be a challenge, but the march of change isn’t stopping. There’s hope in the air. This is thanks to companies like Candex, as well as the arrival of new technologies. For example, artificial intelligence, which the business world is increasingly looking to leverage.
“AI is the whole theme of this conference,” McQuiston said of DPW NYC. The event spawned many fascinating conversations, not to mention encouraging ones. As the business world utilises technology better, procurement is only going to get better. And AI can help support procurement teams as they look to calibrate their solutions and right-size their approach to risk, efficiency, and value-add for the business.
“I’m very interested to see how innovative solutions like Candex, as well as AI solutions, become disruptors – in a good way,” says McQuiston. “A lot of other solutions that have tried to enter the procurement space have struggled to really break in and push for significant change.
“However I believe that if you solve a real problem and have good technology, you will be successful. AI may be able to really help further support technology solutions in their mission to simplify the procurement stack and positively address user experience challenges,” McQuiston concludes.
From AI to multi-factor authentication, here are 7 cybersecurity solutions keeping financial institutions’ critical data secure.
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Data belonging to 20.4 million UK citizens was affected by cyberattacks made against financial institutions at the end of 2023. This represents a 143% increase from the 8.4 million individuals affected in the previous year. The demand for robust cybersecurity is ever-increasing in financial institutions.
Financial Institutions encompass a wide range of businesses dealing with financial and monetary transactions, including banks, insurance companies, and brokerage firms. These institutions are pivotal for a functioning capitalist society, simplifying transactions, enabling individuals and entities to seek investment or lend money, and assisting in managing assets.
The increasingly digitalised nature of the economy, including the rise of online-only financial institutions like challenger banks, has accelerated the development of financial technologies and their adoption in the market. As a result, Software as a Service (SaaS) for finance, such as digital banking, electronic payment, online investment, and other online-based services, makes financial services more accessible to the consumer. But, with the ease of access technologies provided, new challenges have also emerged, especially regarding cybersecurity.
Financial institutions are enticing targets for cybercriminals. Therefore, cybersecurity has become integral to banking security in protecting data from malicious attacks.
Here are seven top cybersecurity solutions to secure data from online threats.
1. AI-Powered Threat Detection
The ability for AI models to perform pattern recognition on large amounts of unstructured data is opening up an exciting new frontier in threat detection for cybersecurity teams. AI tools can potentially flag subtle differences, anomalies, and patterns that could point to a zero-day threat or the presence of a bad actor in the system.
Some industry experts believe that AI-powered threat detection will be pivotal in helping cybersecurity teams respond to rapidly evolving cyberattack strategies that are increasingly difficult to combat — somewhat ironically, this uptick in the frequency and sophistication of attacks is at least partially due to the availability of AI tools, which hackers are also putting to use.
AI’s adaptive learning and advanced recognition capabilities enable automated responses to threats and can predict future risks by analysing past patterns. This helps reduce false positives and saves security teams time on assessments.
2. Multi-Factor Authentication
Multi-factor authentication has quickly become the standard in security and identity protection as more and more people bank, shop, and administer their lives entirely online. Put simple, it’s a multistep account login in which more information besides username and password must be provided.
Typically referred to as “something you have, something you know”, multi-factor login procedures drastically reduce account hacking, allowing security teams to detect suspicious activity that occurs in the logging processes.
3. DDoS Mitigation
Distributed Denial of Service (DDoS) is a coordinated cyberattack that overwhelmingly sends a request to the server simultaneously, which makes the server slow down or even go offline. DDoS mitigation is important for banking service security to prevent the interruption of vital services.
Cynersecurity teams can perform DDoS mitigation by implementing a load balancer, restricting requests from certain places, and blocking communication from outdated or unused ports, protocols, and applications.
4. Compliance
Compliance is vital to both ensure the security of systems and organisations against cyber attack, but also to prevent legal penalties and repercussions if an organisation is found to be in breach of existing regulations. These regulations ensure that an organisation’s cybersecurity set up is in line with the security and data protection laws in the countries where it operates, with the end goal of mitigating risk to the consumer — or just people in general whose data is collected and kept by the company.
There can be serious legal and financial risks associated with non-compliance — tied to both finance and cybersecurity. For example, in 2021, Natwest was fined over £264 million by the FCA for its extended failure to identify and prevent money laundering. Since the FCA was established, there has not been a year when its total fines issued have been less than £1 million. In the UK, other financial and cybersecurity compliance regulations are DPA 2018, UK GDPR, NIS regulations, and the Computer Misuse Act 1990.
5. Database Activity Monitoring
Database Activity Monitoring refers to any set of tools that monitors and analyses database activity. The goal of this monitoring is to flag and report deceptive, illegal, or undesired behaviour taking place within a system. Ideally, these tools run and operate without any serious impact on user experience.
Because most databases don’t monitor or flag suspicious activity by default, unless you have a tool that handles activity monitoring, making third party solutions a necessity in many cases. According to monitoring software solutions vendor Cyral, most systems also don’t collect enough data to enable “a full forensic investigation of historical breach events.” Also, databases that do often log and store this information inside the database itself. Any attacker that gains access to the database can then, supposedly, have write access to the full collection of tables (as is often the case), meaning they can easily delete any activity rows associated with their presence and theft of data.
6. SQL Injection Prevention
SQL injection is a code injection technique attackers use to steal, spoof, and manipulate data. An effective SQL injection attack can result in attackers gaining unapproved access to sensitive data like including credit card information, PINs, or other private information. In banking security, a failure to prevent SQL injection can result in attackers altering balances, voiding transactions, and even transferring money to their bank accounts.
Cyberattackers inject malicious SQL code into the backend of a target system when they discover defenceless user inputs in a web application or web page. The hackers can then use this opening to locate the IDs of other users within the database, impersonating these users — usually those with data privileges such as the database administrator — to run malicious code within the system.
7. Regular Risk Assessment and Training
Perhaps most importantly, the best defence against the rising tide of cybercrime is a cybersecurity conscious culture. Financial institutions should conduct regular risk assessments manually to identify potential vulnerabilities and threats to their systems and networks.
They should regularly evaluate and revise systems and networks based on analytics and assessments to prioritise cybersecurity initiatives and protect vital assets. Security teams shouls also conduct periodic security awareness training, which can strengthen cyber-readiness among finance personnel. This is particularly important given the rise in generated AI-driven phishing campaigns and other technologically democratised forms of cyber crime.
Case Study – Cybercriminals in UK Businesses
An investment article from IFA magazine reported 300,000 cybersecurity breaches in finance institutions across the UK in 2022 alone, making them the second-highest number of data breaches from all industries after the IT sector. Reports estimate losses in the region of £27 billion per year, with small businesses in the UK affected the most by cyberattacks, usually phishing.
The UK authority encourages its citizens to be more aware of the possibility of cyberattacks, especially phishing and fake charity emails, as online threats are growing exponentially. Ledi Sallilari from the SEO consulting firm Reboot also suggested that more complex passwords can help prevent account breaches.
The rapid expansion of internet usage brings new challenges for cybersecurity. Proper knowledge and awareness about cyber criminals should become mandatory for all Internet users to protect their online data.
Financial institutions, responsible for managing customer funds, need to implement strong cybersecurity measures. With more secure backend systems, they can protect assets and maintain customer trust in an increasingly digital world.
The financial technology sector is witnessing a surge in the adoption of blockchain technology, particularly for its transformative capabilities in customer verification.
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Traditional methods of identity authentication often face limitations in security and reliability, exposing user data to potential breaches. Blockchain, however, offers a compelling solution. This article explores how blockchain technology is changing the way industries approach customer verification.
Blockchain and Identity Verification and Management
Customer verification is critical in ensuring the security of accounts and transactions. Traditional identity management systems relied on trusted authorities to issue and manage credentials. This centralised nature makes them lack transparency and vulnerable to data breaches.
Blockchain presents a transformative solution for this issue. This distributed ledger technology offers a secure and transparent way to store and manage data. Each piece of information is cryptographically linked within a chain of blocks. Each block in the chain contains a unique cryptographic hash, acting as a digital fingerprint. And, lastly, each block’s hash incorporates the hash of the preceding block.
This makes it virtually impossible to tamper with the data once recorded. Any attempt to alter information in a previous block would change its hash, triggering a cascade of changes throughout the chain and exposing the tampering. This inherent security significantly reduces the risk of identity theft and fraud compared to traditional methods.
Another core strength of blockchain technology lies in its inherent transparency. Blockchain technology permanently records every transaction and instance of data entry on a shared ledger, accessible to all participants in the network. This fosters trust by promoting accountability and facilitating immediate verification for activities like dispute resolution.
How Blockchain Improves Efficiency
Customer onboarding for financial institutions hinges on verifying a customer’s identity. Traditionally, this involves multiple document submissions across various institutions. Blockchain technology streamlines this process.
One approach involves storing encrypted personal information (PII) like passports or driver’s licences on the blockchain. Customers would then grant permission to specific institutions to verify their identity. This eliminates the need to repeatedly submit documents for each new financial relationship.
It also creates a more reliable data source for institutions since everyone would be referencing the same information. Additionally, customer control over access simplifies compliance with privacy regulations.
Case Studies
One example of how financial institutions are leveraging blockchain technology for customer verification is Tradle, a Know-Your-Customer (KYC) platform built on blockchain. This platform utilises bots to scan relevant customer information, such as financial data and employment history, providing banks with verifiable background checks to streamline loan approvals.
The gathered information is then secured on the blockchain for both internal bank transfers and external data sharing, ensuring its immutability and trustworthiness. This approach offers financial institutions a secure and efficient way to conduct KYC checks, potentially reducing processing times and fraud risks.
Future Outlook
The future of digital identity management appears to be closely linked with the potential of blockchain technology. A report by Market Research Future predicts a surging market, reaching a valuation of $17.81 billion by 2030, driven by government initiatives that promote blockchain development worldwide.
Blockchain’s core strengths—security and transparency—offer a compelling alternative to traditional identity management systems. Ongoing advancements in blockchain technology and a growing focus on digital identity security point towards a promising future.
Data analysis is critical for predicting risks and returns. The ever-growing size of data has overwhelmed human capacity. This is where artificial intelligence (AI) comes in.
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AI is transforming the financial sector by automating routine tasks and efficiently analysing large and complex data sets. It can analyse vast amounts of data with unprecedented speed. The instant but comprehensive insights that this capability provides lead to significantly improved accuracy.
Introduction to AI in Financial Forecasting
Financial forecasting can be challenging for smaller businesses. They often rely on assumptions and human judgement. This can result in inaccuracy, especially when unexpected events occur.
AI can analyse massive amounts of data to find hidden patterns that drive revenue. It automates routine tasks and enables a more detailed analysis than humans can achieve on their own.
Predictive Analytics
By automating data processing and interpretation, AI empowers financial teams to make informed decisions based on a strong analytical foundation. It goes beyond basic analysis by employing advanced algorithms and machine learning (ML) to extract valuable insights from data.
This not only improves the accuracy of forecasts but also unlocks a deeper understanding of market complexities that were previously out of reach.
Risk Assessment
AI algorithms use advanced data processing to spot patterns, unusual activities, and connections that traditional methods might miss.
By training ML models on past data, AI can learn to identify patterns associated with fraud. These models then analyse new transactions, compare features, and flag potential problems in real-time.
Real-time Data Analysis
Slow reporting and analysis have hindered companies’ ability to adapt. AI-powered systems overcome these issues by enabling real-time analysis and decision-making.
AI’s ability to process massive amounts of real-time market data helps financial experts identify opportunities and adapt to market shifts quickly. This translates to increased resilience and competitiveness for businesses.
Case Studies
Financial institutions are increasingly using AI to improve their forecasting and data analysis for managing operational risk. This trend is likely to continue as IndustryARC expects the AI market to reach US$400.9 billion by 2027, growing at a compound annual growth rate (CAGR) of 37.2% during the forecast period of 2022–2027.
Deutsche Bank‘s collaboration with NVIDIA on “Financial Transformers” shows the potential of AI for early risk detection. These models can identify warning signs in financial transactions and speed up data retrieval, helping banks address potential problems quickly and ensure data quality.
AI also plays a key role in anti-money laundering (AML) efforts. By analysing transaction patterns, customer behaviour, and risk indicators, AI can identify suspicious activities for investigation. This not only improves detection rates but also streamlines the process. Google Cloud’s AML AI is a prime example; it helped HSBC find many more real risks while significantly reducing false positives, saving them time and resources.
Future Prospects
AI in finance is expected to significantly reshape financial forecasting. Analysts and executives will see widespread AI adoption for tasks like data analysis, pattern recognition, and automation. This trend is driven by the projected growth of global AI in the finance market. A report by Research and Markets predicts it will reach $26.67 billion by 2026, growing at a rate of 23.1% each year.
For investment firms, AI can make highly accurate forecasts and execute complex trading strategies, optimising investment decisions and returns. Banks will also benefit from AI’s capabilities. AI-powered data analysis can give banks a deeper understanding of their customers, enabling personalised financial services. Chatbots and robo-advisors used for customer service and financial planning will continue to evolve, becoming more advanced and even more human-like in their interactions.
Cost-effectiveness and digital-first strategies are positioning neobanks as genuine challengers to established financial institutions.
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The financial services industry is experiencing a seismic organisational shift. Increasingly, growth is moving away from traditional brick and mortar banking and towards digital-first banking experiences. Neobanks, financial institutions that operate entirely online and forego physical branches, are at the forefront of this shift.
Catering to a tech-savvy generation, these institutions prioritise convenience and user-friendliness. They focus on providing innovative features, often powered by the latest technological advancements.
How Neobanks work
Neobanks are financial technology companies that provide banking services entirely through mobile apps and websites.
They prioritise a user-friendly experience with features like real-time transaction alerts, budgeting and investment tools, and faster account opening. Neobanks may also offer access to a wider range of trading markets, including cryptocurrencies and stock exchanges.
Their cost-effective model is a key driver of their growth. Consumers benefit from lower or nonexistent monthly fees on core banking services and potentially faster loan approvals with lower interest rates, all managed through user-friendly mobile apps. These factors are fueling the significant growth of neobanks within the financial market.
Current State of Neobanks
Over the past decade, neobanks have carved a significant niche in the financial services industry. Their growth shows no signs of slowing down.
Statista predicts a user base of 376.9 million globally by 2027. This represents a remarkable twenty-fold increase from the 18.95 million users reported in 2017. While the full impact on traditional banking remains to be seen, these trends highlight a shift in the financial services sector.
Successful neobanks typically offer low or no fees on essential banking services like account maintenance, deposits, and withdrawals. They often stand out with faster loan approvals and funding compared to traditional banks, along with competitive interest rates. Additionally, these digital banking features are conveniently accessible through user-friendly mobile apps.
Future Trends
The outlook for neobanking is promising, driven largely by its core strengths – a fully digital experience and streamlined services. Neobanks empower customers to manage their finances entirely online and eliminate the need for physical branches.
While traditional banks have embraced digitalisation to an extent, neobanks offer a more comprehensive online-only solution that attracts a growing customer base.
Several factors are fueling this growth. The massive adoption of smartphones has created a mobile-first generation comfortable with managing finances through apps. Moreover, collaborations between traditional banks and fintech companies are blurring the lines between the two sectors, potentially leading to a more dynamic and competitive banking environment.
Opportunities for Growth
Neobanks are poised to disrupt the financial services industry with their innovative technology and focus on customer-centricity. These new financial institutions offer an attractive alternative to traditional banks. However, success in this competitive environment requires a smart strategy.
For neobanks to gain traction, it’s important for them to maintain strong customer acquisition and retention plans. Offering appealing account opening incentives and rewarding loyalty programs can encourage customers to switch or make neobanks their main financial partner.
Ultimately, neobanks that prioritise security, transparency, and excellent customer service while providing innovative digital banking features are best positioned for long-term success in the neobanking industry.
Challenges Ahead
Despite their emergence, neobanks face several challenges that could hinder their future growth. Cybersecurity remains a top concern, as the financial sector is a prime target for cyberattacks due to the sensitive information it handles. Data breaches can have severe consequences for both neobanks and their customers.
Building brand recognition is also a hurdle for new neobanks. Many consumers are unfamiliar with these digital banking options, therefore it’s hard for new players to establish themselves in a crowded market.
Additionally, relying too heavily on third-party partnerships can introduce risks. Conflicts of interest and less control over the customer experience can arise. This lack of control further hinders brand recognition efforts.
Conclusion
Neobanks are no longer a futuristic concept, but a defining feature of the present financial landscape. This is evident in two key trends. First, mobile apps are becoming increasingly sophisticated. Second, traditional banks are witnessing a global decline in branch networks as they shift focus to online services.
Looking forward, the future of neobanks appears promising. Grand View Research predicts a compound annual growth rate (CAGR) of 47.7 percent for the neobanking industry between 2021 and 2028.
However, a key obstacle to wider adoption lies in the varying levels of technological comfort among different age groups. While younger demographics readily embrace mobile applications, older generations may require more time to adapt.
A closer look at how artificial intelligence, machine learning, blockchain, IoT, and more technologies are transforming the InsurTech space.
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Customer expectations are changing fast. Great digital experiences set the standard, no matter the industry. This means insurance companies are no longer competing only with each other, but with every positive digital experience customers encounter daily.
Technology is changing how the InsurTech space serves its customers
Technologies like artificial intelligence (AI), the Internet of Things (IoT), and cloud computing revolutionise insurance. Outdated systems are being replaced with modern solutions, which offer greater efficiency, security, and data-driven insights.
This digital transformation enables a new generation of insurance services. For example, automated claims processing uses AI to speed up workflows and payouts. Additionally, AI helps detect fraud to protect both insurers and policyholders.
Insurance technology is also improving the customer experience. From personalised plans to user-friendly interfaces, digitalisation is making insurance more accessible and convenient.
AI and Machine Learning
People want more personalised experiences with insurance products and services. InsurTech advances, powered by AI and machine learning (ML), can help insurers meet this demand.
ML algorithms analyse massive amounts of customer data, including behaviour and habits. This allows insurers to tailor insurance products and services to individual needs and create unique customer journeys.
Beyond personalisation, AI has the potential to streamline core insurance processes. AI can speed up claim processing and streamline underwriting. Faster data access and reduced human error lead to more accurate and efficient reporting.
A report by McKinsey suggests that AI could significantly change the insurance industry. It could shift the focus from reacting to problems to preventing them. This proactive approach would benefit everyone involved—brokers, consumers, and insurers.
Blockchain Technology
Blockchain technology offers a powerful solution for data security. It stores vital insurance information, such as claims and payments, in secure blocks on a shared ledger. Any attempt to alter this data would change the entire chain and make tampering easily detectable.
A study by Boston Consulting Group shows 60 percent of insurance companies are actively investing in blockchain. Additionally, 80 percent of C-suite executives in these companies believe blockchain has the potential to significantly improve efficiency.
IoT and Telematics
Many consumers are now willing to share personal data for lower insurance costs. This willingness unlocks the potential of the IoT in the insurance industry.
IoT automates data collection from various sources, like smart home devices, car sensors, and wearables. This data becomes a key source of real-world information for insurance technology. By analysing it, insurers can improve risk assessment accuracy and refine pricing based on individual behaviour.
Telematics devices take personalised insurance a step further, particularly in car insurance. These devices, equipped with GPS and motion sensors, track driving habits in real time. They collect data on speed, location, time of day, and other factors linked to accident claims. This comprehensive data allows insurers to create even more tailored insurance policies.
Case Studies
Several insurance companies are already using InsurTech advances to streamline processes and improve risk assessment.
For example, FRISS uses AI software to quickly detect suspicious claims. Their system analyses data to find possible fraud networks and hidden patterns. With this, FRISS cuts claims handling time by 66 percent and saves insurers money.
Chubb Insurance is another example that shows the value of combining IoT devices with data analysis tools. By constantly monitoring environmental factors with sensors, Chubb can predict potential property damage. This proactive approach lets them offer personalised premiums based on risk profiles, ultimately helping policyholders avoid expensive incidents.
Future Prospects
Grand View Research projects the global InsurTech market size to expand at a compound annual growth rate (CAGR) of 52.7 percent from 2023 to 2030. This rapid transformation will be driven by advancements in various technologies, each presenting both opportunities and challenges.
As more insurance processes become digitalised, concerns around cybersecurity naturally rise. A Future Processing survey underscores this concern, revealing that 81 percent of respondents believe insurers need stronger cybersecurity policies.
The quality of data and security practices will be the cornerstones of successful InsurTech implementation. AI relies heavily on data, while strong security protects sensitive customer information. By prioritising these aspects, insurers can unlock deeper customer understanding and improve the customer experience.
Drawn by increased flexibility and convenience, retailers are embracing embedded finance solutions in the hope of opening up new revenue streams.
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Embedded finance is gaining significant traction among retailers. The term refers to the integration of financial services into non-financial applications and platforms. For example, an app that offers cashback on large purchases, or pay later features with zero interest. This new crop of digital tools is enabling retailers to strengthen customer relationships.
Retailers can create a more convenient shopping experience by providing features like flexible payment options and personalised financial advice directly within their platforms. This approach not only builds customer loyalty but also opens doors to new revenue streams from integrated financial services.
Enhancing Customer Shopping Experience
Embedded finance can keep customers engaged in the retail environment and enhance the customer shopping experience. By embedding payment options directly into their platforms, retailers can offer a faster and more convenient payment process. Customers do not need to leave the retail environment to complete a transaction.
One of the most significant benefits of embedded finance is the ability to offer point-of-sale financing. Customers can apply for funding at the time of purchase, rather than having to apply for credit separately.
Referred to as BNPL (buy now and pay later), this feature makes purchasing decisions easier and more flexible. This flexibility is driving customer loyalty. A study by Vodeno found that 40% of respondents would only choose brands offering BNPL and similar financial technology features like cashback. This number jumps to 50% for young adults.
Increasing Sales
Research by Natwest and BCG shows promising results for businesses that adopt embedded finance. Retailers saw conversion rates jump by 12%, average order value increase by 30%, and revenue rise by 7%.
Embedded finance can be a strategic tool for maximising revenue. Instead of just processing transactions, retailers can offer additional financial services for a fee. For example, a procurement platform could charge for automated reconciliation. This will save businesses time and generate new income.
Successful Implementation and Future Innovations
Several retail companies have successfully implemented embedded finance. These include Amazon with its Amazon Pay. The feature allows customers to use their payment information stored on various platforms. Another example is Walmart‘s mobile app. This platform provides customers with a variety of financial services, from paying for their groceries to managing their Walmart MoneyCard.
John Lewis has also integrated its financial services, offering customers credit cards, insurance, and personal loans directly through their retail platform. There’s also Tesco Bank, which provides a range of financial products, including savings accounts, loans, credit cards, and insurance products.
According to KBV research, the global embedded finance market is expected to reach $384.8 billion by 2029, reflecting a compound annual growth rate (CAGR) of 30%. Parallel to the growth, retailers will continue to innovate, offering more integrated financial services. These can include more sophisticated loyalty programmes, personalised financial advice, new payment options, and enhanced data analytics to better understand and serve customers.
Retailers must embrace these innovations to remain competitive and meet the ever-increasing expectations of modern shoppers. By integrating financial services into non-financial products or services, retailers not only create added value for customers but also increase customer loyalty. In addition, embedded finance also presents opportunities for retailers to increase profits.
Digital payments enable access to financial services by underserved members of society at a time when the digital divide is widening.
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The United Nations emphasises financial inclusion as a driver for economic development, including it as component eight of the Sustainable Development Goals for 2030. The World Bank defines financial inclusion as crucial economic development and social progress that ensures equal access to financial products and services.
In recent years, accessibility to financial services has improved rapidly as financial technology has advanced. The 2022 World Bank report revealed that 71 percent of people in developing countries had access to a bank account in 2021, a 42 percent jump from a decade earlier.
The key driver of this development in financial inclusion is the growth of digital payments, which surged during the COVID-19 pandemic, according to the CFA Institute.
Role of digital payments
Digital payment technologies, such as digital wallets, online mobile banking apps, and contactless transactions, contribute to the growth of financial inclusion. Compared to traditional methods, digital payments offer multiple benefits.
Reduced costs are one reason digital payments have become a significant cause of economic growth. They allow lower barriers to entry for underserved people.
With more people having digital financial accounts, the underprivileged can receive wages, government benefits, or remittances more easily.
Digital transactions provide a safer alternative to physical cash transactions. The digital records for each transaction help people manage their finances and increase transparency in businesses. They also help mitigate the risks of theft or fraudulent activities.
Accessibility
Digital payment solutions significantly improve accessibility to financial services. They eliminate geographical barriers for people living in remote areas as long as there is internet access.
Online platforms make it easier for people to conduct transactions, pay bills, and access credit and insurance services from anywhere. They also allow instant payments that happen in seconds without the need for third parties.
The accessibility of digital payments extends to people with disabilities. Mobile banking apps often include features such as voice commands, screen readers, and accessible interfaces that cater to them.
Case Studies
Many digital payment initiatives have successfully promoted financial inclusion in marginalised communities.
One of them is India’s Jan Dhan-Asdhar-Mobile (JAM) Trinity initiative, which was launched in 2014. The Pradhan Mantri Jan Dhan Yojana programme aims to provide universal access to banking facilities with at least one basic banking account for every household. This programme promotes financial inclusion in rural areas by offering zero-balance accounts with debit cards.
Meanwhile, the Aadhar programme introduces a biometric digital identity for Indian residents, simplifying access to financial services. Lastly, the Mobile Network programme focuses on growing mobile network infrastructure to facilitate digital payments.
Challenges and Solutions
Still, the challenges of achieving financial inclusion through digital payments persist. In 2022, 1.4 billion adults remained unbanked. Meanwhile, increased accessibility also comes with the consequence of more people becoming prone to potentially unscrupulous lending practices, especially since the underprivileged often lack sufficient financial knowledge to avoid such schemes.
Thus, financial education is crucial so that more people can effectively protect their wealth. The government should initiate financial literacy programmes for the people. The programmes could also be conducted through online platforms to reach more communities.
In addition, increasing security technology is also important to overcome the risk of fraudulent activities. AI technology might solve this problem, as it can efficiently detect suspicious patterns and mitigate fraud schemes.
Future Outlook
Digital payments’ future role in driving financial inclusion will become more prominent as mobile and internet penetration increases. Governments should prioritise investment in telecommunications and internet infrastructure to reach their optimal potential.
AI-powered solutions are expected to continue to develop and offer many ways to accelerate digital finance adoption. With the advancement of technology, security and customer experience will also improve.
We chatted to Gabe Perez from RiseNow about prioritising humans during technological transformation.
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RiseNow, as a procurement and supply chain strategy and design firm, is firmly plugged into the needs of the sector’s functions as they evolve. Its growth has been organic thanks to customers demanding exactly what they want. They can’t simply implement tech with the goal of ‘go live’ anymore. They need expert help to define the real outcomes.
RiseNow provides end-to-end guidance for customers. This ensures that when they implement new systems, they explore the whole picture from the beginning. It was a topic discussed in detail at DPW NYC in June, where we met up with Gabe Perez, Chief Strategy Officer.
“What we’re seeing in the market is that people are asking for guidance around operating models,” says Perez. “Our focus right now is trying to keep up with demand. There are a lot of different service providers out there.
“We’re showing RiseNow’s clients how to design, execute, and operate. So we’re really focused on helping customers end-to-end, whether they’re optimising what they currently have, or starting from a new platform.”
Humans first, then technology
As procurement continues to digitise, roadblocks that hinder technology’s effectiveness and promise of value become more apparent. One of these is implementing technology for technology’s sake. Or, simply using tech to digitise already-existing processes versus examining the why behind those processes.
“As David Rogers from Columbia Business School said, the best technology is not the most important part of digital transformation,” says Perez. “People are at the core of it. Procurement has to start focusing more on outcomes and let that drive technology. People are running to technology for answers, but they don’t have the right operating model set up by the right people. Plus, there’s a huge talent shortage.”
Addressing the talent shortage
Outside of technology, the talent shortage across procurement was a repeated topic of conversation during DPW NYC. Just as it is during CPOstrategy’s general conversations with leaders. Procurement has been too vague a concept for too long, and overlooked in the grand scheme of many businesses for decades.
“One of the issues is making roles attractive,” Perez states. “I recommend proposing the problems you’re trying to solve and asking whoever you’re interviewing: ‘how would you solve this?’ Because with all the cool tech we now have at our fingertips, they’re going to come up fresh ideas. The talent exists – they’re just not being engaged and attracted. That’s where tech comes into play.”
And technology moulded by a people-centric focus was another major theme of the day at DPW NYC. “While AI in procurement is a huge topic right now, creativity is still going to come from humans – not artificial intelligence,” Perez points out.
“You need human minds to see the value of things. This is to figure out how money can be driven out of the bottom line and into the top line. Humans are still needed for proving that procurement needs to take risks to be better. AI is a great tool, but it still needs us.”
AI, real-time monitoring, and machine learning are helping fintech firms stay ahead of growing cyber threats.
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The financial sector faces a growing threat—cybercrime.
Cybersecurity Ventures predicts a significant rise in cybercrime costs, with the total impact of hacks, breaches, and data theft potentially reaching as high as $10.5 trillion a year by 2025. As attacks become more common and more severe, mitigating these risks and preventing fraud is paramount for financial institutions and financial technology companies alike.
Luckily, ongoing advancements in technology offer fintech organisations a powerful arsenal of weapons to combat cybercrimes. Adaptive fraud prevention systems use artificial intelligence (AI) to detect and prevent fraudulent activity in real-time. These intelligent systems continuously learn from new data, allowing them to identify evolving patterns and improve cybersecurity.
Introduction to cyber fraud protection
Cybersecurity is crucial in the financial services industry, where sensitive financial data and transactions are a prime target for cybercriminals. Moreover, cyber attacks can inflict significant financial losses, not just through direct theft but also via hefty regulatory fines, legal costs, and reputational damage.
Financial institutions have a responsibility to safeguard customer trust by implementing robust cyber fraud protection measures. This includes advanced technologies like network security, intrusion detection systems, and malware protection.
By securing financial transactions and customer data, these measures not only deter cyberattacks but also mitigate their impact, fostering customer confidence in the bank’s security posture.
Common types of Cyber fraud
The financial sector occupies a bull’s-eye for cybercriminals, ranking second only to healthcare in global cybercrime costs according to theIBM Cost of a Data Breach Report 2023. Financial institutions face an average loss of $5.9 million per cyber incident, highlighting the critical need for robust cyber fraud protection measures.
These attacks come in various forms. One of the most common isphishing scams. These are attempts to trick people into surrendering sensitive information. Meanwhile, ransomware attacks aim to disrupt operations or extort money by encrypting critical data. Distributed Denial-of-Service (DDoS) attacks overwhelm systems with traffic, making essential services unavailable to legitimate customers.
Advanced cybersecurity technologies
The fight against cyber fraud necessitates sophisticated tools, and advanced technologies like AI and machine learning (ML) are playing an increasingly crucial role.
AI fraud detection uses ML algorithms to identify fraudulent activities within vast datasets. These algorithms are trained to recognise patterns and anomalies that deviate from typical user behaviour and transaction patterns. Once the patterns are identified, attackers can be purged from the system before they have a chance to steal anything of value. Cybersecurity systems powered by ML can drastically reduce the amount of time bad actors spend inside a system.
ML algorithms excel at identifying patterns and trends that might signal potential fraud. Also, by analysing big data, these algorithms can adapt quickly to evolving fraud tactics.
They can detect and alert security teams within seconds of suspicious behaviour, such as unusual purchases or login attempts from unfamiliar locations. Thanks to continuous data analysis, businesses can gain an immediate advantage, allowing them to swiftly identify and respond to suspicious activity, ultimately minimising potential losses.
Case studies
The financial sector is actively exploring the potential of AI to combat cyber fraud. Mastercard’s Decision Intelligence technology exemplifies this trend. By analysing historical spending habits, this AI solution creates a personalised baseline for each cardholder’s behaviour.
This approach is a significant improvement over traditional, one-size-fits-all methods, which often lead to false declines. AI’s contextual analysis of transactions allows it to bypass common triggers for false positives, ultimately enhancing fraud detection accuracy.
Future prospects
The future of cyber fraud protection hinges on the continued evolution of technology. One promising area lies in adaptive technologies, such as behavioural biometrics. Additionally, these systems move beyond static passwords or fingerprints, creating a unique user profile based on a person’s interaction patterns.
These patterns are ‘behavioural fingerprints’ that include typing style, mouse movements, and even how an individual holds their phone. Over time, the system learns user habits, building a digital identity that can detect deviations indicative of unauthorised access.
This approach is particularly effective because it’s nearly impossible for hackers to replicate one’s unique behavioural traits, even if they steal the password. This adds a crucial layer of security that traditional methods cannot provide.
Customer service significantly influences the overall customer experience and brand reputation. Artificial intelligence (AI) has taken customer service to new…
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Customer service significantly influences the overall customer experience and brand reputation. Artificial intelligence (AI) has taken customer service to new heights, including in the insurance industry.
Financial technology development has offered a better customer experience with enhanced accessibility and convenience. Mobile banks and digital wallets make it possible to contact the customer service team through online platforms. With the help of AI, FinTech companies escalate their services by offering more personalised, prompt, and efficient service.
AI Chatbots and Virtual Assistants
Conversational AI, which focuses on creating human-like interactions like chatbots and virtual assistants, improves customer service efficiency.
Chatbots are automated programmes that promptly address customer service queries. They can assist customers with inquiries and provide support for product information, account balances, or transaction details. AI-powered chatbots can give an immediate response and handle multiple customers at the same time.
Meanwhile, virtual assistants are voice-activated apps that can comprehend and carry out tasks based on users’ commands. These assistants offer personalised support by understanding the customers’ needs. For instance, they can deliver investment guidance tailored to customers’ risk tolerance and financial objectives.
These AI solutions can also assist human assistants by handling routine tasks, allowing them to focus on more complex work. Thus, the employment of AI assistants can reduce operational costs and effectively allocate resources to more important tasks.
Personalised interactions with AI
This approach can provide more personalised interactions by using algorithms and predictive tools to understand and respond to each customer’s preferences. AI algorithms can analyse large datasets of customers’ past interactions, browsing behaviour, and demographic information.
Meanwhile, predictive analytics tools can be used to anticipate customer needs and offer relevant financial products or services. These recommendations are constantly updated based on real-time client interactions and feedback.
24/7 Support
AI-powered customer service has the benefit of around-the-clock availability. It can operate continuously without being bound by office working hours like human-based customer service. Faster response times and enhanced availability help FinTech companies improve overall customer satisfaction.
Case Studies
Paypal, a digital wallet company, is one of the FinTech companies that has successfully used AI to improve its customer service. After implementing chatbots, PayPal experienced a 20 percent decrease in customer support costs and a 25 percent increase in user engagement. These chatbots can handle routine inquiries, resolve issues, and make personalised product recommendations.
Another example is Citi, a US retail bank that developed an AI-powered Customer Analytic Record (CAR). This programme can consolidate customer data, including financial records, used products, and interactions across online banking. The data is linked to automated decision-making AI software for analysis. The system can then recommend personalised offers to customers via text and mobile banking.
Future prospects
According to David Griffiths, Citigroup’s chief technology officer, AI has the potential to revolutionise the banking industry and improve profitability. With the continuous development of AI technology, the fintech industry can further improve its customer service.
Ronit Ghose, another executive at Citigroup, predicts that in the future, every client will have an AI-powered device in their pocket. This innovation will improve their financial lives with enhanced AI in customer service.
However, there are still concerns about AI’s scalability limitations in handling vast amounts of tasks. In addition, AI’s access to customers’ data makes security an important area to ensure its credibility. FinTech companies should ensure digital compliance to earn customers’ trust.
Integrating blockchain into financial systems promotes trust among stakeholders, from investors to regulators. This potential stems from blockchain’s transparency, immutability, and security.
The technology offers investors clarity and security. It provides a transparent view of transaction histories and asset ownership, which reduces the risk of fraud and increases investor confidence.
For regulators, blockchain serves as a tool to improve monitoring and enforcement of compliance with regulations. Moreover, the immutable nature of blockchain records ensures accurate and permanent logging of financial transactions. Additionally, aiding in audit trails and regulatory oversight, particularly in areas like anti-money laundering and know your customer (KYC) rules.
Securing transactions with immutable ledgers
Blockchain’s immutable ledger ensures that once data is recorded, it cannot be easily altered or tampered with. Each piece of information, like transaction details, is stored in blocks and protected by unique hash values.
Hash values are alphanumeric strings generated for each block, linking it securely to the previous block. This chaining ensures that any attempt to change data in one block would invalidate the entire chain. Therefore, making tampering detectable and preventing unauthorised alterations.
The security of blockchain is reinforced by its decentralised nature. Copies of the blockchain are stored across multiple computers in a network, and consensus among these nodes ensures the integrity and originality of the data.
This robust system not only enhances security but also supports applications like smart contracts. These automate and enforce agreements based on set conditions.
Blockchain for real-time auditing
Blockchain technology enables real-time auditing, thanks to its decentralised and transparent nature. This ensures auditors can verify the authenticity and integrity of financial data without relying on centralised authorities or intermediaries.
This capability not only improves audit efficiency but also strengthens trust and confidence in financial reporting. Furthermore, auditors can track transactions from their inception through to completion in real-time, reducing the risk of errors. By eliminating the need for manual reconciliation and audit trails, blockchain reduces the time and resources traditionally required for auditing processes.
Meeting regulatory demands with blockchain
The technology helps businesses meet complex regulatory requirements more effectively. As data entries are permanent and secure once recorded, blockchain ensures information cannot be altered or deleted. It provides a reliable way to consolidate and verify data needed for regulatory reporting.
For regulators, blockchain simplifies oversight by offering a shared platform where transaction details are transparent and accessible in real-time. Moreover, this decentralised approach eliminates the need for extensive manual checks and balances, making it easier to monitor and enforce compliance across various stakeholders.
The ability to streamline regulatory reporting is particularly evident in industries like reinsurance. Here, blockchain facilitates faster and more accurate reporting among insured parties, insurers, brokers, and regulators.
Case Studies
Several financial institutions have demonstrated improved transparency through their adoption of blockchain technology. For example, J.P. Morgan offers a prominent use case, which launched its Quorum blockchain platform in 2016.
Quorum, based on Ethereum, has been used for various applications like debt issuance and financial transaction settlements. Moreover, this platform enhances transparency by providing a secure and decentralised way to record and verify transactions, reducing the risk of errors and fraud in financial operations.
Similarly, the African Development Bank Group (AfDB) partnered with BanQu to develop the Supply Chain Finance Blockchain. Additionally, this platform aims to streamline supply chain finance for SMEs in Africa, making transactions more transparent and efficient. Also, by leveraging this tech, AfDB improves visibility across the supply chain, ensuring funds are allocated and tracked accurately, thereby enhancing transparency in financial operations.
FinTech Strategy met with Merusha Naidu, Global Head of Partnerships at Paymentology, to discover more about the global issuer processor
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Banks, digital banks and fintechs, around the world, trust Paymentology to issue and process all forms of cards and transactions, at scale. Paymentology offers a cloud-based platform, rich data, a global footprint and proven track record powering industry leaders and game-changers.
A global issuer processor with on the ground teams in 50+ countries across 14 time zones, Paymentology’s founders saw that the payments industry was stagnant and limited, in both capability and ambition.
In March 2021, Tutuka and Paymentology merged, resulting in a ‘payments and card processing powerhouse’. The merger combined the ultra-advanced, multi-cloud platform of Paymentology with the global reach and experience of Tutuka to revolutionise cloud-based processing globally.
Tutuka was traditionally a financial services company, that provided payment processing technologies, software and services, and application programming interfaces (APIs) for e-commerce and digital transacting across countries in Africa, Latin America, Southeast Asia, and the Middle East, while Paymentology processed for legacy banks in Europe and the UK. The merger enabled banks and fintechs to integrate into a single API, go live and issue cards almost anywhere in the world.
At Money20/20 Europe, FinTech Strategy spoke with Global Head of Partnerships, Merusha Naidu, to find out more…
Tell us about the genesis of Paymentology?
“Paymentology is a global neo processor. We work with banks and fintechs to help them issue their own cards, whether prepaid, debit or credit, virtual or physical. The beauty of the platform is that it’s fully cloud native. So, we’re scalable. We’re focused on speed to market so when you are working with a fintech, or a digital bank, it’s all about two things. How do you innovate? And then how do you go live quickly? Those are two areas of the business that we really focus on. Not only is our tech state of the art, with everything built in the cloud, all of our infrastructure is also in the cloud, including things like our connection to schemes.
We were the very first issuer processor to connect to Visa Cloud Connect, via cloud endpoints in Europe. Being first in embracing modern practices, we ensure our processes are next-generation, thanks to our fully cloud-native and digital infrastructure.
What makes us different? We operate across UK, Europe, the Middle East, Africa, Latin America and Asia Pacific; we are truly global, operating across all five regions. One of the things that makes that possible is our tech. A customer can integrate with us once and then launch across five regions if they wanted to, or multi-market rollouts. We offer a huge ability to scale using integration. Our customers are able to replicate that digital first experience across every single jurisdiction. So, whether it’s Kenya and Dubai and then Saudi Arabia and Portugal, they can have the same experience across the world.”
Tell us about your role at Paymentology?
“I’ve been with Paymentology for 14 years. Prior to taking up my current role as Global Head of Partnerships, I was the Regional Head of Asia Pacific. So, when you look at partnerships, I was asked a question recently at a talk: ‘What would my message be to issuers across the industry?’ My message is that you can’t do it alone. If you want to create truly scalable, innovative solutions, you’ve got to work with partners and collaborate with the best in class. We know we are best in class when it comes to issuer processing, but we also create ecosystem partners that close the gap when it comes to creating really valuable payment ecosystems.
Whether it’s top core banking providers, leading cloud services, or premier card manufacturers, these are the partners we collaborate with. This allows us to confidently assure our customers that we work with the best, to deliver the best, across the entire value chain.”
Tell us about some of the successful partnerships Paymentology has been involved in…
“We were the first company to deliver flip card technology for our client Mox. Paymentology embedded its global processing capability into the platform, to enable Mox to launch its ground-breaking feature to ‘flip’ between debit and credit spending on the all-in-one Mox card. This allows you to have one physical card, one virtual card number, but in the background, we link it to two different accounts. It gives the customer real flexibility around how they can spend, because if it’s everyday purchases, they can use their debit account or their prepaid account. If they have larger purchases, they can switch in the app and use their credit facility. So, it really gives customers flexibility and choice – two things at the heart of what we do.
What trends are you seeing across the FinTech landscape? What opportunities do you see for Paymentology?
“Cross-border payments for us is key. Meanwhile, everyone talks about being digital first. For us, tokenisation has helped and we have a superior partner, MeaWallet, to help us deliver this. Elsewhere, crypto has been seen as a sore point but it’s coming back and people again want that flexibility. So, having a way for customers to spend their crypto, converting crypto to free apps and making sure that data is at the heart of all that. It’s about learning about our customers, understanding what our customers want and using our data to make informed decisions, or giving our customers data so that they can make the decisions.”
And what’s next for Paymentology? What future launches and initiatives are you particularly excited about?
“We’re excited about being able to deliver flexibility, control, agility. Because the Paymentology platform is so agile, in the future you will be able to plug in even more different components into the offering. So, a customer can add in rewards and loyalty points. For example, airlines have a platinum MasterCard product, so it opens them up to all of the MasterCard loyalty rewards, airport lounges, all of those benefits. It’s all about being innovative and keeping up with that innovation and growing with customers.”
Why Money20/20? What is it about this particular event that makes it the perfect place to showcase what you do? How has the response been to Paymentology?
“Paymentology is headquartered in the UK so it’s important for us to make sure we’re representing business across Europe. This is the centre of the world for banking innovation. People look to this event to really learn about what’s happening in the industry globally and discover what trends are going to come up. What should we be doing? How can we innovate together and learn from each other? That’s one of the things I really love about Money20/20; the talks in all of the panels are so interesting and I always leave knowing more. Being in the payments industry, and especially being an issuer processor, it’s important for us to learn from the industry and understand where we need to move so that we can stay at the forefront of developments.”
Sage, the leader in accounting, financial, HR, and payroll technology for small and mid-sized businesses (SMBs), has announced an expansion…
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Sage, the leader in accounting, financial, HR, and payroll technology for small and mid-sized businesses (SMBs), has announced an expansion of its partnership with a leading neobank. What’s more, Stripe offers a financial infrastructure platform for businesses, to help improve cashflow management and payment processing for SMBs. The partnership is key to helping businesses to move money easier and faster
Sage partners with neobank Stripe
Stripe is trusted by millions of businesses around the world, ranging from startups to enterprises. The partnership with Stripe provides Sage customers with more options to pay and get paid quickly. Additionally, leveraging Stripe’s financial infrastructure, Sage will offer its customers a trusted solution to help ease cashflow and simplify financial processes. From streamlined checkout and payment processing, to Tap to Pay contactless payments, and auto-reconciling bank transfers.
Also, in partnership with Stripe, Sage intends to expand its payments ecosystem. Therefore, ensuring that a growing number of its customers have access to services that will help them to manage their cashflow.
“This partnership signifies a shared vision between Sage and Stripe. To transform how SMBs pay and get paid, helping our customers to simplify cashflow management,” said Walid Abu-Hadba, Chief Product Officer, Sage. “Furthermore, we are committed to harnessing the power of technology to drive innovation, enhance efficiency, and pave the way for growth.”
Addressing cashflow problems
Supporting customers globally, Stripe’s integration into Sage is currently available in the UK through Sage Accounting, Sage 50 and Sage 200. Also, Stripe is fully integrated into Sage Network, enabling customers to easily plug into the broader Sage ecosystem. Moreover, they can choose additional applications and features such as Sage Connect, automating AR and AP processes to help manage their cashflow and payments.
The expansion of the partnership will see customers benefits including:
Streamlined checkout and payment processing: SMBs with cash trapped in outstanding invoices can make it easier for customers to review their accounts. They can pay with Sage Connect’s customer account portal and Stripe Checkout.
Multiple payment methods: Accept payments from customers through different methods including digital wallets, cards and bank transfers. Additionally, Stripe uses machine learning to surface the most relevant payment methods for customers depending on their location.
Unified payments experience: Collect payments online and in person through Tap-to-Pay, for seamless, in-person, contactless payments No terminal hardware required.
A safe and secure payment experience: Leveraging Stripe’s advanced security protocols and compliance with global financial regulations. Customers can be assured transactions are protected against fraud and data breaches. Providing peace of mind for both businesses and their clients.
Auto-reconciling bank transfers: Saving time with automatic reconciliation. Finally, bank transfers enable customers to pay invoices via bank transfer, streamlining the payment and reconciliation process.
“Sage understands the importance of innovating for its customers. We’re thrilled to be part of its journey,” said Eileen O’Mara, Chief Revenue Officer at Stripe. “Stripe is building a suite of software-defined financial services. Ultimately, we can enable leading platforms like Sage to provide integrated features that make their customers’ lives easier.”
Lastly, this partnership adds to the broad range of payments and banking partners within Sage’s ecosystem.