Author

Paul Sweeney

Published

25 November 2025

Estimated Read time

4Mins

Paul Sweeney, Product Integration Officer at Aryza, explores how AI is reshaping customer engagement in credit and collections — not by replacing people, but by making every interaction more human

Today, we’re constantly bombarded with requests for our personal data, from market researchers and government census takers to supermarket loyalty schemes that demand we flash a QR code at every checkout. It’s no wonder consumers are tuning out. So, when credit and collections organisations come calling for more information, customers are already halfway to disengaging before the conversation even begins. 

From Forms to Conversations 

Today, many forward-thinking organisations are turning to conversational AI to make these interactions feel more natural and less like a chore. Instead of filling out endless forms or providing data step-by-step, AI now enables something far more natural, a dialog. The system intelligently recognising what’s already been shared and gently prompting for what is still needed. It flows better and feels less transactional and more human.  

Great customer service teams remember what you’ve told them before, pull up your files and data seamlessly, and avoid that infuriating pretence that they don’t know who you are, because let’s face it, nothing frustrates us more than companies we pay money to acting like we’re strangers. 

The Rise of Everyday AI 

Customers have long relied on tools like Google to hunt down information, adjusting phrases to get the right results. Now, generative AI has taken that habit to the next level. With platforms such as ChatGPT becoming a top five consumer application, it has started acting as a personal assistant for everything from daily decisions about what to cook for dinner to how to deal with financial dilemmas.  

For credit and collections, it’s easy to imagine the potential. Simply upload your bills, take a photo of your accounts, and ask it to prioritise payments or even draft a response to the bills you can’t cover yet. It predicts your follow-up questions, suggests next steps, and can whip up a formal letter to your utility provider explaining the delay and what you’d like to happen next. If you haven’t already tried this, do so. It’s an eye opener and a glimpse of what’s coming. In fact, the use of AI is becoming increasingly common for financial advice, as it ranks as the second most common use case (41%)  

Trusting the Machine: What the Data Shows 

A recent report by Intuit Credit Karma revealed that 66% of people surveyed have already used generative AI to seek financial guidance, with the highest adoption rates among Gen Z and millennials. It’s a clear sign of the growing level of trust in AI-driven insights, in fact, 80% of respondents said they acted on the advice received and felt it improved their financial situation. However, the findings also underscore a deeper issue, as many people are turning to AI for financial questions, they feel too embarrassed or uncertain to ask elsewhere, highlighting the ongoing need for greater financial confidence and education. 

Looking ahead, this kind of interaction will become the norm rather than the exception. Each customer will have their own form of AI assistant, one that knows their context, frames the right questions, and guides them smoothly towards their goals. 

Empowering the People Behind the Screens 

On the other hand of the equation, customer service staff are getting a major boost from AI too. Good systems now automatically tag and direct incoming messages, prioritising urgent ones from vulnerable customers over the routine inquiries. Conversations are summarised in real time, providing agents with a clear overview of what’s been discussed, how the issue is progressing, and the odds of a positive outcome. These AI tools handle the heavy lifting on volume, spotlighting complexities or trade-offs, ushering in an era where every worker has an AI co-worker. 

What kind of AI assistant would a contact centre supervisor need? How about a C-suite executive, what features would they require? And if you’re an enterprise architect, would you want part-time reps generating policy docs or asking high-level questions? Probably not. You’d insist on guardrails, strict policies, and complete auditability at every step of AI-driven interactions. Generic AI will deliver generic experiences. For supervisors and decision-makers, AI assistants will also become indispensable coordination and decision-support tools, monitoring performance across teams, flagging bottlenecks, and recommending the best subsequent actions to maintain service quality and compliance. Those that deeply understand the challenges you face across all the lending cycle are best placed to power the AI assistants that you will depend on in the future.  

The AI revolution is already here, but now’s the time for everyone to zero in on the data, its journey, and the models powering this future. Deep data architecture will be critical: each role, customer, agent, and supervisor requires access to tailored data and AI capabilities that fit their needs. That’s how we move from one-size-fits-all automation to truly personalised, intelligent experiences that improve outcomes for everyone. 

  • Artificial Intelligence in FinTech
  • InsurTech

Author

Paul O'Sullivan

Published

20 May 2025

Estimated Read time

6Mins

Paul O’Sullivan, Global Head of Banking & Lending at Aryza, on how Open Banking is reshaping the financial ecosystem

As Open Banking continues to gain momentum, it is poised to fundamentally reshape the financial ecosystem. Not only regarding how institutions operate but also in how individuals understand, manage, and trust their money. With secure data sharing at its core, Open Banking represents more than just a technological shift. It signals a transformation in the relationship between people and their finances.

This piece explores five key areas where Open Banking is set to make its mark in the years to come…

Transforming Society’s Relationship with Money

Open Banking has the opportunity to reshape society’s relationship with money by providing greater transparency and enabling a more comprehensive view of personal finances. This heightened visibility is made possible by securely sharing financial data with trusted third-party providers. And empowering individuals to monitor spending habits, track expenses, and compare financial products and services more easily.

Providing greater transparency and access to financial data will improve financial education for all by enabling a deeper analysis of trends across various activities. As a result, consumers can make more informed decisions. This can improve overall financial education and help to foster a healthier, more sustainable relationship with money.

Additionally, Open Banking paves the way for more personalised financial solutions, as institutions compete to offer tailored services that meet the unique needs of customers. This increased choice not only boosts consumer confidence in managing their finances but also catalyses innovation within the financial sector. Ultimately, the shift toward Open Banking is poised to create a more dynamic, customer-centric financial services landscape. Moreover, one that will significantly enhance how individuals and businesses manage their money.

The Convergence of Open Banking and AI

The data provided by Open Banking should work hand in hand with AI to offer consumers advice on managing their finances. Whether that means making changes to their habits or finding more affordable products, in turn transforming financial guidance and creating a more personalised and efficient financial ecosystem.

By enabling the secure sharing of consumer data, Open Banking provides the foundation for AI-driven solutions to analyse real-time information and offer tailored recommendations. This coule be suggesting improvements to spending habits or automating routine processes. Such AI-enabled tools will empower individuals to make more informed, data-driven decisions about their money.

This synergy will go beyond surface-level insights, delivering hyper-personalised services that address each customer’s unique financial needs and preferences. The resulting efficiencies, such as automated account management, transaction processing, and even customer support, free human resources to focus on more complex issues. Ultimately, this combination of Open Banking and AI promises to enhance the overall customer experience. It can provide actionable, real-time support that helps individuals navigate their financial journeys more confidently and effectively.

Evolving the Role of Traditional Banks

While it’s still early to say for certain, traditional banks could indeed evolve into more utility-like services in an Open Banking world. We’re already seeing indications of this shift, with more consumers increasingly switching their banking services and using multiple accounts. Open Banking is a disruptive force that fosters greater competition and choice, enabling consumers to pick and choose the financial solutions that best meet their needs.

To remain relevant, traditional banks are urged to embrace Open Banking rather than resist it. By securely leveraging customer data and collaborating with FinTechs and other third-party providers, they can create more specialised, value-added products and services. In doing so, banks can move beyond mere utility status. They can position themselves at the forefront of innovation while enhancing the overall customer experience in an increasingly competitive landscape.

Redefining Financial Trust and Identity

Open Banking is not only transforming technology infrastructure; it’s also redefining core principles such as trust, identity, and control. It will increase transparency by giving individuals a holistic view of their financial data. In turn, empowering them to track spending patterns, compare financial products, and make more informed decisions. Secondly, it enhances consumer control over personal data, as customers can grant or revoke access to trusted third-party providers. Therefore strengthening accountability and fostering greater confidence in the system.

Furthermore, digital identity solutions replace traditional verification processes, enabling expanded access to financial services. This will ensure more people can participate in the banking system with ease. Underpinning these developments are trust frameworks, which establish standardised measures for data sharing, allowing banks, FinTechs and other providers to collaborate while maintaining consistent protection for users.

A key emerging factor is the use of advanced cryptography and multi-factor authentication so that both individuals and financial institutions can operate confidently in a secure environment. This heightened focus on security and privacy can help mitigate concerns around data breaches and identity theft. Further strengthening consumer trust.

By introducing new layers of transparency, giving consumers control over their data, and leveraging digital identity and robust security measures, Open Banking shifts our collective understanding of financial trust and identity. It moves us toward a future where trust is shared among various stakeholders. Security is paramount and individuals play a more active role in shaping their financial journeys.

Harnessing Open Banking Data for Monetary Policy

While often discussed through the lens of consumer empowerment, Open Banking may also prove to be instrumental in supporting smarter economic decision-making at a national level. Financial data through open banking could play a significant role in creating new tools for monetary policy. Particularly as the global financial system becomes increasingly interconnected. By providing governments and regulators with real-time insights into consumer spending patterns and business creditworthiness, Open Banking allows for more precise and targeted policy interventions. This data-driven approach can enable policymakers to respond swiftly to economic shifts. They could tailor interest rates, liquidity measures, and other monetary policy tools to specific sectors or demographics.

Having access to comprehensive, standardised data can enhance the accuracy of economic forecasts and models. This leads to more informed decisions that can foster stability and growth in the economy. However, implementing these advanced tools requires robust data protection measures and regulatory frameworks to ensure the privacy and security of financial information. When managed responsibly, the fusion of Open Banking data and monetary policymaking promises to bolster both economic resilience and consumer trust.

Charting the Path Ahead for Financial Innovation

Open Banking is not just a new chapter in financial services, it’s a complete rewrite of how we engage with money, institutions, and technology. From personalised advice and AI integration to regulatory impact and redefined trust, the changes ahead are both profound and far-reaching. The next decade will be shaped by how institutions adapt, how consumers respond, and how effectively we harness data to deliver meaningful, secure, and transparent financial experiences.

  • Embedded Finance
  • Neobanking

Author

Paul O'Sullivan

Published

11 December 2024

Estimated Read time

4Mins

Paul O’Sullivan, Global Head of Banking and Lending at Aryza, on the rise of AI in banking

The banking sector stands at the crossroads of technological innovation and operational transformation. AI is taking centre stage in reshaping how financial institutions operate. The banking sector is beginning to recognise AI’s potential. It can address challenges, enhance operational efficiency, and deliver more personalised customer experiences.

The Current State of AI in Banking

Research reveals that while a number of banking organisations have yet to fully integrate AI into their operations, key areas such as debt recovery are leading the charge. The slower pace of adoption can be attributed to the highly regulated environment of banking. Because transparency, compliance, and customer trust are non-negotiable. However, despite this cautious approach, banks that have implemented artificial intelligence are already seeing significant benefits, particularly in risk management.

AI’s Role in Risk Management

Effective risk management is a cornerstone of the banking sector. AI is proving to be a powerful tool in this area. By analysing vast amounts of data and providing predictive insights, AI enables banks to mitigate risks early. They can strengthen customer portfolio stability, and make data-driven lending decisions. These capabilities are essential in a landscape where financial risks can escalate rapidly.

Beyond the expected benefits, banks have also reported enhanced customer insights as an unexpected advantage. By leveraging AI to analyse customer behaviours and preferences, banks can tailor their products and services more effectively. Furthermore, they can improve customer satisfaction and experience, whilst fostering long-term loyalty.

Challenges to Adoption

Although organisations are experiencing a multitude of advantages, the integration of AI in banking is not without its hurdles. Legacy IT systems, stringent regulatory requirements, and concerns around data privacy pose significant challenges to widespread adoption. Banks must ensure AI-driven decision-making processes are effective. Moreover, they must also be fully transparent and compliant with industry regulations. Further highlighting the importance of a gradual, strategic approach to AI implementation.

Opportunities Ahead

The potential for AI in banking extends far beyond risk management. From streamlining operational workflows to enhancing customer personalisation and improving decision-making. AI is set to drive innovation across the sector. For example, AI-powered chatbots and virtual assistants transform customer service by providing instant, 24/7 support. They can handle complex interactions, enhancing customer satisfaction. At the same time, advanced analytics enable banks to analyse behaviour patterns, predict trends, and personalise product offerings. Furthermore. enhancing cross-selling opportunities and driving deeper customer engagement. These tools are becoming strategic enablers for innovation in the financial landscape.

A Call to Action

For banks to fully realise the benefits of AI, they must address the digital transformation gap, modernising outdated infrastructures and fostering a culture of innovation. This includes investing in technologies that align with their strategic goals, ensuring robust data security measures alongside maintaining compliance with evolving regulations.

As the banking sector continues its journey towards digital maturity, AI will play a pivotal role in defining its future. By overcoming current barriers and embracing AI-driven solutions, banks can not only enhance operational efficiency but also deliver the seamless, personalised experiences that customers now expect in an increasingly digital world.

About Aryza

At Aryza know that in today’s highly regulated world, there is huge value in quickly guiding your customers through the product that best fit their immediate needs, through a seamless journey that is tailored to their specific circumstances.

We created smart platforms, responsible and compliant products, and a unique system of companies and capabilities so that businesses can optimise their customers’ journey through the right product at the right time.

For our teams across the globe, the growth of Aryza is a good news story and a testament to our clear vision and goals as an international business.

And also front of mind as we build a global footprint is our impact on the environment. Aryza is committed to reducing its carbon impact through the choices it makes and we are pleased to say that we follow an active roadmap.

  • Artificial Intelligence in FinTech