Author

Adam Spearing

Published

5 March 2026

Estimated Read time

5Mins

Adam Spearing, VP of AI GTM EMEA at ServiceNow, on why those that invest in AI foundations now will shape their operating models on their own terms

Much of the debate around AI still centres on pilots: which tools to test, which use cases to prioritise, which risks to manage. Executive teams commission proofs of concept, establish governance forums and assess compliance exposure. Far less scrutiny is applied to the consequences of waiting.

Traditional technical debt is familiar territory for CIOs. It stems from shortcuts, ageing platforms and deferred upgrades. It builds over time and is eventually addressed through structured modernisation programmes. Visible in legacy code, brittle integrations and manual workarounds. It appears on risk registers and capital plans. Leaders know how to describe it and, in principle, how to resolve it.

Forward-looking technical debt is different. It arises when organisations postpone the foundational changes needed for new ways of working. It is not created by past expediency, but by present hesitation. And it accumulates faster.

AI Adoption

In the context of AI, the effects are already emerging. Each quarter spent debating readiness instead of building it increases the distance between legacy operating models and AI-enabled competitors. As models improve and user expectations shift, that distance widens, reshaping competitive baselines. What begins as a modest capability gap can harden into structural disadvantage.

While companies debate whether to adopt AI, the margin for strategic choice narrows. Many organisations frame AI adoption as a binary decision: adopt now or wait until the technology matures further. In practice, the room for discretion is smaller than it appears. Time spent stalled in pilots or governance loops increases the gap between internal capability and market expectation.

More than 75% of organisations are expected to face moderate to severe AI-related technical debt in 2026, predicts Forrester. The issue will not simply be missed efficiency gains. It will be structural misalignment between how their systems operate and how work is increasingly done.

This misalignment often appears gradually. Teams rely on manual data preparation because underlying systems cannot support automation. AI tools are layered onto fragmented architectures and deliver inconsistent outputs. Employees experiment with external tools because internal platforms cannot provide the functionality they need. Each workaround creates further fragmentation.

Over time, these patterns compound. Integration backlogs expand. Security and risk teams struggle to enforce consistent controls across proliferating tools. Data governance becomes reactive rather than designed. What began as caution begins to constrain strategic options.

The AI Paradox

Here’s the paradox: organisations are either rushing into unsuccessful AI pilots that create immediate technical debt, or they’re avoiding AI entirely and creating forward-looking debt through inaction. Both paths lead to the same place – systems that can’t support the future of work.

AI isn’t just another technology layer to bolt onto existing infrastructure. It’s fundamentally changing how people interact with systems and how work gets done. Increasingly, AI becomes an interface through which employees access information, execute tasks and navigate processes. When AI becomes the interface – not just for customers but for employees navigating their daily tasks – organisations without AI-ready foundations will find themselves unable to compete on speed, efficiency, or experience.

The companies that hesitate aren’t just missing out on automation benefits today. They’re building a deficit that grows exponentially as AI capabilities advance. Each new model release, each competitor’s successful implementation, each customer expectation shift adds to the debt. Each significant model improvement raises the performance benchmark across the market. Unlike legacy systems that degrade slowly, this gap accelerates.

From Avoidance to Advantage

Breaking free from forward-looking technical debt requires a fundamental mindset shift. This isn’t about buying more technology or launching more AI pilots. It’s about creating the conditions for sustainable AI adoption that builds capability rather than complexity.

The organisations succeeding with AI aren’t the ones with the biggest budgets or the most aggressive rollouts. They’re the ones that took a deliberate, phased approach to ensuring their data, systems, and culture could support AI at scale. They treated readiness as an operational discipline rather than an innovation side project. They understood that AI adoption isn’t a destination, it’s a continuous capability that requires solid foundations.

This starts with honest visibility into current technology estates. Leaders must understand what systems can realistically support AI workloads, where data quality creates barriers, and which processes are ready for automation. Only then can organisations introduce AI incrementally, modernising systems where necessary rather than forcing new capabilities onto brittle foundations. Without that clarity, AI risks being layered onto structural weaknesses.

Modernisation therefore becomes targeted. Consolidating fragmented workflows, standardising data models and reducing unnecessary integration points increase the feasibility of scaling AI across multiple use cases. Early deployments focused on well-defined processes with clear data lineage can build internal confidence while strengthening governance practices.

Clear Debt to Stay Competitive

Forward-looking technical debt does not appear on a balance sheet. It shows up in slower product cycles, manual workarounds, integration backlogs and frustrated employees. It surfaces when competitors deliver AI-assisted services as standard and customers begin to expect the same everywhere. By the time these symptoms are visible, the underlying gap has already widened.

Timing therefore becomes a strategic variable. AI capability builds cumulatively: early investment in clean data, modern workflows and interoperable systems creates a base for continuous improvement. Each iteration becomes easier, faster and more reliable. Those that delay face the opposite trajectory: increasing complexity, rising retrofit costs and shrinking room for strategic choice.

The real issue is not adoption in principle. It is whether leadership teams are prepared to treat readiness as urgent rather than optional.

Reducing forward-looking technical debt requires acting before competitive pressure dictates terms, aligning technology modernisation with operating model reform, and accepting that disciplined progress now is less risky than accelerated catch-up later.

AI adoption will continue irrespective of individual organisational hesitation. Vendors will continue to refine their offerings. Regulators will clarify expectations. Customers and employees will adjust their behaviours. Those that invest in foundations now will shape their operating models on their own terms. Those that delay risk reacting to a competitive gap that is already commercially significant.

Learn more at servicenow.com

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy

Author

Dan Brightmore

Published

6 January 2026

Estimated Read time

3Mins

CoreX, a high-growth Elite Consulting and Implementation Partner of ServiceNow and NewSpring Holdings platform company, has announced the successful completion…

CoreX, a high-growth Elite Consulting and Implementation Partner of ServiceNow and NewSpring Holdings platform company, has announced the successful completion of its acquisition of InSource’s ServiceNow business unit. InSource is a fellow Elite Partner recognised for deep delivery expertise and an unwavering commitment to client success. The transaction officially closed in late December 2025.

This agreement unites two high-performing ServiceNow partners in the ecosystem. Together, CoreX and InSource now operate as a single, purpose-built organisation designed to scale with intent, elevate enterprise transformation outcomes, and meet the accelerating demand for AI-enabled, end-to-end ServiceNow solutions worldwide.

InSource integration into CoreX delivering value for ServiceNoe customers

With InSource’s 1,500+ successful implementations and a 4.76 CSAT rating, the combined organisation, more than doubling its US-based employee headcount, now operates at a level of scale and technical depth that firmly positions CoreX among the top-tier Consulting and Implementation Partners in the global ServiceNow ecosystem. The acquisition doubles the firm’s ServiceNow certifications and brings together advanced platform specialisation and a people-first culture grounded in long-term client success.

“This is not growth for growth’s sake, but rather a strategic, deliberate move of scale,” said Rick Wright, Head of CoreX. “By fully integrating InSource into CoreX, we have created a focused consultancy built for scale, execution, and long-term value for ServiceNow customers.”

Reflecting on the integration, Mark Lafond, former President & CEO of InSource, added, “InSource was built on delivery strength, trust, and long-term client relationships. Joining forces with CoreX allows us to take everything we do best and amplify it on a much larger stage. This is the right home for our people, the right platform for our customers, and the right partner to accelerate the next chapter of growth.”

By unifying CoreX’s innovation roadmap and AI readiness with InSource’s long-standing operational delivery excellence, the combined organisation now offers a truly integrated model for enterprise transformation across industries. This integration enables clients to move faster from strategy to execution while maintaining the governance, resilience, and scalability required for modern enterprises.

Just as importantly, the acquisition strengthens CoreX’s geographic footprint and delivery capacity across key global delivery hubs, including North America and Latin America, enabling the firm to serve enterprise clients with greater speed, continuity, and depth.

“Our acquisition of InSource fundamentally changes the scale of impact we can deliver for customers,” Wright added. “CoreX is now purpose-built to lead the next era of ServiceNow-powered transformation.”

A Unified Approach to Enterprise Transformation

The acquisition significantly enhances CoreX’s capabilities across Strategic Portfolio Management (SPM), IT Asset Management (ITAM), IT Operations Management (ITOM), Integrated Risk Management, Operational Technology integration, and AI-ready enterprise architecture. The combined strengths allow CoreX to solve more complex, mission-critical challenges across industries, including manufacturing, healthcare, financial services, and the public sector.

With this transaction, CoreX is now among the top global ServiceNow Elite Partners, distinguished not just by certifications or scale, but by consistent delivery of measurable, enterprise-level outcomes on the ServiceNow AI Platform.

About CoreX

Founded in 2023, CoreX is a global ServiceNow consultancy specialising in business-focused transformation that unlocks hidden value from the Now Platform. Backed by unmatched industry leadership, extensive functional experience, and the most seasoned ServiceNow team in the ecosystem, CoreX delivers strategic guidance and AI-enabled innovation to power sustained success. Learn more at corexcorp.com

About NewSpring Holdings

NewSpring Holdings, NewSpring’s majority investment strategy, focused on control buyouts and sector-specific platform builds, brings a wealth of knowledge, experience, and resources to take profitable, growing companies to the next level through acquisitions and proven organic methodologies. Founded in 1999, NewSpring partners with the innovators, makers, and operators of high-performing companies in dynamic industries to catalyze new growth and seize compelling opportunities. Having completed over 250 investments, the Firm manages approximately $3.5 billion across five distinct strategies covering the spectrum from growth equity and control buyouts to mezzanine debt. Partnering with management teams to help develop their businesses into market leaders, NewSpring identifies opportunities and builds relationships using its network of industry leaders and influencers across a wide array of operational areas and industries.

  • Data & AI
  • Digital Strategy

Author

Dan Brightmore

Published

16 December 2025

Estimated Read time

3Mins

Interface issue 68 is live featuring Microsoft, Virgin Media O2, CIBC Caribbean, Telkom, Zoom, ServiceNow, Snowflake and more

Welcome to the latest issue of Interface magazine!

Click here to read the latest edition!

Driving Business Transformation Through Cloud & AI

Microsoft’s Shruti Harish, Head of Solution Engineering for Cloud and AI Platforms across the tech giant’s Manufacturing and Mobility vertical, talks to Interface about how to achieve successful AI implementations augmented by Cloud. Our future focused fireside chat covered everything from driving value through cloud modernisation to responsible AI.

“Leaders should align AI initiatives with clear business outcomes and foster a culture that embraces change. The focus is shifting toward AI-operated, human-led models where intelligent agents handle tasks and humans guide strategy.”

Virgin Media O2: Democratising Data as a Cultural Movement

Mauro Flores, EVP for Data Democratisation at Virgin Media O2, talks to Interface about the leading telco’s data journey and how it is supporting colleagues to innovate faster, make smarter decisions and deliver brilliant customer experiences.

“Data-driven insights are essential. They’re helping power our decisions like optimising our network performance, anticipating outages before they happen, identifying and preventing fraud, personalising offers and pricing to build customer loyalty, and forecasting demand so we invest in the right things.”

CIBC Caribbean: Shaping the future of Banking in the Caribbean

Deputy CIO Trevor Wood explains how CIBC Caribbean is blending technology, culture, and customer-centricity to deliver seamless digital experiences across the region with a ‘Future Faster’ strategy.

“We want to lead in every market we operate, build maturity across our practices and be architects of a smarter financial future for all.”

And read on for deep AI insights from ANS’s CIO on why AI isn’t just for big business, Emergn’s CTO on how your business can get AI-ready and Kore.ai’s Chief Strategy Officer on taming AI-sprawl with governance-first platforms.

We also hear from Celonis, Snowflake, ServiceNow, Make and Zoom with their tech predictions for 2026 and chart the key dates for your diary with global networking opportunities at the latest tech events and conferences across the globe.

Click here to read the latest edition!

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Payments
  • Digital Strategy
  • People & Culture

Author

Dan Brightmore

Published

15 September 2025

Estimated Read time

6Mins

Enterprise-wide AI platform security protects sensitive data and governs integrations to help organisations scale Agentic AI with confidence

ServiceNow the AI platform for business transformation, has unveiled its new Zurich platform release. It delivers breakthrough innovations with faster multi-agentic AI development, enterprise-wide AI platform security capabilities, and reimagined workflows. New intelligent developer tools enable secure vibe coding with natural language. This helps turn employees into high-velocity builders and creators and lower the barrier to app creation. Built-in security capabilities, including ServiceNow Vault Console and Machine Identity Console, natively secure sensitive data across workflows. This governs integrations to help organisations scale Agentic AI and innovations with confidence. The introduction of autonomous workflows turns data into action through agentic playbooks. Uniquely offering the flexibility to apply AI and human input in workflows where and when it’s needed for greater control and efficiency. 

AI Transformation with ServiceNow

Enterprise leaders are racing to move beyond table-stakes AI implementations to unlock transformative, tangible results.  According to Gartner, “By 2029, over 60% of enterprises will adopt AI agent development platforms to automate complex workflows previously requiring human coordination.” The ServiceNow AI Platform delivers this transformational promise across the enterprise. It underpins a new era of highly efficient human-AI collaboration. 

“Zurich marks a turning point for enterprise AI. ServiceNow is delivering multi-agentic AI systems in production that are not just powerful, but governable, secure, and built for scale,” said Amit Zavery, president, COO, and chief product officer at ServiceNow. “We are transforming the enterprise tech stack to be AI-native. From autonomous workflows that act on data with precision, to developer tools that democratise high-velocity innovation. With built-in controls for security, risk, and compliance, we’re helping organisations move beyond experimentation. And into a new era of intelligent execution.” 

Vibe Coding Meets Enterprise Scale 

According to Gartner, “Agentic AI features will be near ubiquitous, embedded in software, platforms and applications, transforming user experiences and workflows.” The introduction of ServiceNow Build Agent and Developer Sandbox provides resources for employees to work with AI more efficiently. They can now do this conversationally, and at scale, to solve real problems in every corner of the business. 

  • Build Agent is a breakthrough for enterprise app creation—bringing vibe coding to the rigor of the ServiceNow AI Platform. In seconds, employees can turn an idea into a production-ready application by asking in natural language. Say, “Create an onboarding app that assigns tasks to HR, IT, and Facilities,” and Build Agent handles the rest. Design, build, logic, integrations, testing, and industry-leading governance included. What sets it apart is enterprise discipline: every app comes with audit trails, security, and compliance built in. Developers and citizen creators alike get the speed of AI with the confidence of enterprise-grade control, in a streamlined interface. 
  • Developer Sandbox empowers developers to build better applications, faster, while maintaining the highest standards of quality. Sandboxes provide isolated environments within a single instance, so multiple teams can collaborate, build, and test new features without conflicts, and rapid scale doesn’t come at the cost of control. Teams can version, iterate, and deliver without waiting in line for developer resources. Developers can safely experiment with vibe coding, test AI-powered workflows, and resolve version control issues before changes go live. This reduces rework, shortens feedback loops, and helps teams ship higher-quality applications rapidly with lower risk. 

Security That Enables AI Strategy 

As enterprises adopt autonomous workflows powered by agentic AI, securing how these systems access data and communicate across environments is essential. Zurich introduces new built-in AI platform security capabilities to make it easier to protect sensitive information. It can also govern integrations and manage growing AI footprints. 

  • The newServiceNow Vault Console provides a guided experience to discover, classify, and protect sensitive data across workflows. For example, an admin managing customer service operations can now identify personal data across tickets, apply different types of protection policies, and track compliance activity. The console also offers recommendations for protecting newly discovered sensitive data, along with customizable dashboards to monitor key metrics. What used to require manual configuration across multiple tools can now be managed in one place, with intelligent insights and a streamlined experience. 
  • Machine Identity Console addresses the need for integration security with enterprise-grade authentication and authorization, delivering control over bots and APIs head on. As the ServiceNow AI Platform scales, every API connection, including those from AI agents, introduces another identity to manage and determine what it can access. This console gives platform teams visibility into all inbound API integrations using machine identities such as service accounts and keys, flags outdated or weak authentication methods, and provides clear steps to strengthen security. If an integration is using basic authentication or hasn’t been active in 100 days, the console spots it and helps resolve it. 

Digital Transformation

“At Kanton Zürich, digital transformation is central to how we deliver secure and efficient public services. Since 2018, ServiceNow has enabled us to centralize and standardize our processes with data security as a top priority,” said Jürg Kasper, head of business solutions, Kanton Zürich. “Zurich’s latest advancements in both security and AI will allow us to automate more complex workflows, unlocking new efficiencies that enhance how we serve our citizens—with greater speed, clarity, and assurance.”  

Without built-in security and trust, scaling AI comes with risk. These new security features in Zurich build upon ServiceNow’s AI Control Tower, announced in May 2025, which provides enterprise-wide visibility, embedded compliance, and end-to-end lifecycle governance for Agentic AI systems. By centralising oversight of every AI agent, model, and workflow, native or third-party, the AI Control Tower ensures organisations can scale AI with confidence, aligning innovation with enterprise-grade security and trust. 

Turn Data Into Outcomes With Autonomous Workflows 

As organisations rapidly scale AI, they face the added challenge of delivering solutions consistently, reliably, and responsibly. Enterprises need the right guardrails, full visibility, and strong governance to achieve service delivery. Or they risk eroding trust and slowing results. ServiceNow’s AI Platform does all this in a single platform. It sets a new standard for how organisations can create autonomous workflows to turn data into action and AI into measurable business impact. 

  • Agentic playbooks from ServiceNow bring people, automation, and AI together seamlessly, powering autonomous workflows. A traditional playbook is a structured sequence of automated steps. These are based on predefined business rules and processes—ideal for ensuring consistency, efficiency, and trust. Agentic playbooks amplify this model by embedding AI into the trusted framework. AI agents eliminate manual effort, completing tasks in seconds and accelerating execution. This frees employees to focus on higher-value work where human judgment matters most. For example, in a credit card support situation, an agentic playbook can guide an AI agent to verify someone’s identity. It can freeze a card, send a replacement and notify the customer while allowing a human agent to step in. The result: governed, efficient, and trusted work—supercharged by AI to deliver faster, smarter outcomes. 
  • The ServiceNow Zurich platform release also seamlessly combines Process and Task Mining insights within a unified platform. These new capabilities give organisations an end-to-end understanding of how work gets done. Revealing where human expertise is essential, and where AI agents can deliver the greatest impact. With process intelligence built directly into the platform, customers can move seamlessly from insight to action. Streamlining operations, applying AI where it matters most. And accelerating real business outcomes without the complexity of disconnected legacy tools. 

All features announced as part of the ServiceNow AI Platform Zurich release are generally available and can be found in the ServiceNow Store

  • Data & AI
  • Digital Strategy

Author

Dan Brightmore

Published

19 December 2024

Estimated Read time

7Mins

Interface looks back on another year of ground-breaking tech transformations and the leaders driving them. We spoke with tech leaders…

Interface looks back on another year of ground-breaking tech transformations and the leaders driving them. We spoke with tech leaders across a broad spectrum of sectors – from banking, health and telcos to insurance, consulting and government agencies. Read on for a round up of some of the biggest stories in Interface in 2024…

EY: A data-driven company

Global Chief Data Officer, Marco Vernocchi, reflects on the transformation journey at one of the world’s largest professional services organisations.

“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 it from a commodity utility to an asset. Furthermore, our formal strategy defined with clarity the purpose, scope, goals and timeline of how we manage data across EY.  Bringing it to the centre of what we do has created a competitive asset that is transforming the way we work.”

Read the full story here

Lloyds Banking Group: A technology and business strategy

Martyn Atkinson, CIO – Consumer Relationships and Mass Affluent, on Lloyds Banking Group‘s organisational missive around helping Britain prosper, which means building trusted relationships over customer lifetimes by re-imagining what a bank provides.

“We’ve made significant strides in transforming our business for the future,” he reveals. “I’m really proud of what the team have achieved with technology but there’s loads more to go after. It’s a really exciting time as we become a modern, progressive, tech-enabled business. We’ve aimed to maintain pace and an agile mindset. We want to get products and services out to our customers and colleagues and then test and learn to see if what we’re doing is actually making a meaningful difference.”

Read the full story here

USDA: The people’s agency

Arianne Gallagher-Welcher, Executive Director for the USDA Digital Service, in the Office of the OCIO, on the USDA’s tech transformation and how it serves the American people across all 50 states.

“If you’d told me after I graduated law school that I was going to be working at the intersection of talent, HR, law, regulations, and technology and bringing in technologists, AI, and driving innovation and digital delivery, I’d say you were nuts,” she says. “However, it’s been a very interesting and fulfilling journey. I’ve really enjoyed working across a lot of different cross-government agencies. USDA is the first part of my career where I’m really looking at a very specific mission-driven organisation versus cross-agency and cross-government. But I don’t think I’d be able to do that successfully without the really great cross-government experiences I’ve had.”

Read the full story here

Virgin Media O2 Business: A telco integration supporting customers

David Cornwell, Director – SMEs, on the unfolding telco integration journey at Virgin Media O2 Business delivering for Business customers

“If you’ve got the wrong culture, you can’t develop your people or navigate change…” David Cornwell is Director of Technical Services for SMEs at Virgin Media O2 Business. He reflects on the technology journey embarked upon in 2021 when two giants of the telco space merged. A new opportunity was seized to support businesses with the secure, reliable and efficient integration of new technology.

Read the full story here

The AA: Driving growth with technology

Nick Edwards, Group CDO at The AA, on the organisation’s incredible technology transformation and how these changes directly benefit customers.

“2024 has been a milestone year for the business,” explains Edwards. “It marks the completion of the first phase of the future growth strategy we’ve been focused on since the appointment of our new CEO, Jakob Pfaudler.” Revenues have grown by over 20%, allowing The AA to drive customer growth with technology. “All of this has been delivered by our refreshed management team,” he continues. “It reflects the strength of our people across the business and the broader cultural transformation of The AA in the last three years.”

Read the full story here

Publicis Sapient: Global Banking Benchmark Study

Dave Murphy, Financial Services Lead, Global at Publicis Sapient, gave us the lowdown on its third annual Global Banking Benchmark Study.

The report reveals that artificial intelligence (AI) dominates banks’ digital transformation plans, signalling that their adoption of AI is on the brink of change. “AI, machine learning and GenAI are both the focus and the fuel of banks’ digital transformation efforts,” he says. “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.”

Read the full story here

Bupa: Connected Care

Chief Information Officer Simon Birch and Chief Customer & Transformation Officer Danielle Handley discuss Bupa’s transformation journey across APAC and the positive impact of its Connected Care strategy.

“Connected Care is our primary mission. We’ve been focusing our time, investment and energy to reimagine and connect customer experiences,” says Simon. “It’s an incredibly energising place to be. Delivering our Connected Care proposition to our customers is made possible by the complete focus of the organisation and the alignment leaders and teams have to the Bupa purpose. Curiosity is encouraged with a focus on agility, collaboration and innovation. Ultimately, we are reimagining digital and physical healthcare provision to customers across the region. Furthermore, we are providing our colleagues with amazing new tools to better serve our customers throughout all of our businesses.”

Read the full story here

ServiceNow: Tech disruption delivering change

Gregg Aldana, Global Area Vice President, Creator Workflows Specialist Solution Consulting at ServiceNow, on how a disruptive approach to technology can drive innovation.

While the whole world works towards automating as many processes as possible for efficiency’s sake, businesses like ServiceNow are supporting that change evolution. ServiceNow’s platform serves over 7,700 customers across the world in their quest to eliminate manual tasks and become more streamlined. We spoke to Aldana about how it does this and the ways in which technology is evolving.

Read the full story here

Innovation Group: Enabling the future of insurance

James Coggin, Group Chief Technology Officer on digital transformation and using InsurTech to disrupt an industry.

“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.”

Read the full story here

San Francisco PD: A technology transformation

Chief Information Officer William Sanson-Mosier on the development of advanced technologies to empower emergency responders and enhance public safety

“Ultimately, my motivation stems from the relationship between individual growth and organisational success. When we invest in our people, and we empower them to innovate with technology and problem-solve, they can deliver exceptional results. In turn, the organisation thrives, solidifying its position as a leader in its field. This virtuous cycle of growth and innovation is what drives me.” CIO William Sanson-Mosier is reflecting on a journey of change for the San Francisco Police Department (SFPD). Ignited by the transformative power of technology to enhance public safety and improve lives.

Read the full story here

  • Digital Strategy