Author

Martijn Gribnauis

Published

23 March 2026

Estimated Read time

5Mins

Martijn Gribnauis, Chief Customer Success Officer at Quant, on why Agentic AI will redefine financial services

A recent Google Cloud survey showed that only 13% of finance organisations are currently using agentic artificial intelligence. This number needs to, and will rise when you consider that 88% of financial leaders are seeing ROI from generative AI already. Agentic is the next and most advanced evolution of artificial intelligence the world has ever seen. 

Agentic AI is not on the way. It is here and already reshaping how forward-leaning financial institutions operate. In 2026, for IT and finance leaders to build an insurmountable competitive lead they must deploy agentic AI in every area where it can safely and effectively create value. The institutions that hesitate will find their business models under threat from familiar competitors and newcomers alike.

Reinvention of Core Processes

Agentic AI is poised to reinvent core financial processes. Bookkeeping, record maintenance, and period-end close are nearing complete automation. Month-end processes that once required late-night, stress-filled marathons will evolve into continuous, largely automated cycles. IT teams will no longer spend evenings on high alert waiting for failures. 

This shift also frees IT leaders, finance teams, and operations functions from monotonous repetitive tasks. Instead of focusing on system uptime and manual reconciliation, they will collaborate with the C-suite on strategic initiatives that drive growth and revenue. 

Understanding Why Adoption Is So Low

Despite the promise of Agentic AI, there is understandable caution. Some 80% of organisations have reported ‘risky behaviour’ from AI agents, and in the world of finance that is an alarming number. Finance is one of the most regulated, risk-averse sectors in the world. The fear of losing control remains the primary reason so few in the industry have embraced Agentic AI.

Loss of control and fear of catastrophic error

Financial leaders fear that an autonomous system could go ‘off script’, mis-route payments, misinterpret rules, or inadvertently cause compliance breaches. In finance, even small errors can trigger major financial or regulatory consequences.

Security and data privacy concerns

Large AI models require huge quantities of sensitive data. Organisations worry about breaches, cyber-attacks, or manipulation. An AI agent with improperly configured permissions could, in theory, execute fraudulent transactions or expose confidential customer information.

Bias and fairness risks

If AI agents make decisions using incomplete or fragmented data, they risk perpetuating or amplifying bias. At scale, biased decision-making can undermine customer trust and expose firms to legal and regulatory challenges.

Regulatory ambiguity and audit difficulty

Regulators are still determining how to govern agentic AI. Some organisations fear that early adoption could unintentionally violate rules or create future audit vulnerabilities.

These fears are legitimate, but not insurmountable.

Tackling the Adoption Barriers: A Practical Blueprint for Finance Leaders

To capitalise on Agentic AI’s immense potential, leaders must take a structured approach grounded in business value, security, and trust.

1. Start With Clear, Measurable ROI and Efficiency Gains

In finance, adoption accelerates when decision-makers see proof of value.

Start by automating repetitive processes. Agentic AI can handle tasks like data entry, reconciliation, invoice matching, and initial fraud checks faster and more accurately than humans. This leads to reduced operational overhead as automation lowers labour costs, shortens processing times, and reduces error rates. Demonstrating these savings through case studies or internal pilots is critical to changing minds. 

AI agents can enable revenue growth by analysing huge data sets to identify new investment opportunities, optimise trading strategies, and generate personalised product recommendations. Each of these capabilities directly impacts top-line growth.

2. Strengthen Risk Management and Compliance Through AI

Agentic AI will improve risk management when deployed responsibly. This starts with real-time fraud detection. AI agents can monitor transactions continuously, identifying patterns that suggest fraud long before traditional systems would detect an anomaly.

Continuous monitoring is also incredibly helpful when it comes to compliance. AI agents excel at ensuring adherence to KYC and AML regulations. They can automatically maintain audit trails, identify missing documentation, flag anomalies, and escalate issues instantly.

Enhanced stress testing and scenario modelling can both be completed via Agentic AI. It can simulate complex market environments more dynamically than legacy tools, providing deeper insights into vulnerabilities and improving resilience. When showcased and presented in this context, agentic AI becomes a risk-reduction tool in the eyes of decision makers. 

3. Directly Address Security and Trust Concerns

Trust is the cornerstone of adoption. Implement enterprise-grade security architecture that includes encryption, secure APIs, strict access controls, and continuous monitoring of agent behaviour. And, use explainable and transparent AI systems (XAI) so your finance teams understand the reasoning behind decisions. XAI helps provide interpretable outputs that support auditability and regulatory compliance.

Start small with a controlled, low-risk pilot. A proof-of-concept in a non-critical workflow helps teams understand the technology, gather evidence, and build internal support before scaling. Produce numbers based reporting that speaks the language of the people who make the decisions. Show, don’t just tell them how agentic will move the business forward.

4. Highlight the Competitive Advantage

Agentic AI adoption is not just an efficiency upgrade. It is a competitive imperative. AI agents create faster innovation cycles by accelerating product development, service delivery, and operational improvements.

They also provide superior customer experience. From instant account servicing to personalised financial recommendations, Agentic AI delivers the speed, personalisation, and convenience customers expect. Plus, it scales exponentially. No matter how many people call in at the same time, an agentic agent will answer immediately. Agentic AI reduces up to 86% of time spent in complex workflows that were traditionally handled only by people. This will be huge in getting ahead of your competition. 

5. Build Momentum Through Internal Champions

Adoption increases when respected leaders advocate from within. Mid-level managers, AI-literate staff, or members of the C-suite who understand the technology can serve as champions. Use them and their beliefs to drive alignment, communicate benefits, and counter misconceptions. The more people from different departments and levels of the organisation that talk up the technology, the more likely you are to get buy-in. 

Your Time is Now

Agentic AI will redefine financial services. The organisations that act today will build capabilities, insights, and competitive advantages that late adopters will not be able to replicate. Finance leaders must begin asking where agentic AI can support their business, where it can remove friction, where it can unlock growth, and where it can transform operations. The firms that act now will lead the industry. Those that hesitate will not get the chance to catch up.

The only remaining question for finance organisations is not whether agentic AI will change the industry, but how quickly they choose to deploy it.

Learn more at quant.ai

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

Author

Dan Brightmore

Published

9 March 2026

Estimated Read time

5Mins

Visa is leading the AI race in payments, according to Evident’s AI Index for Payments, a major new ranking of…

Visa is leading the AI race in payments, according to Evident’s AI Index for Payments, a major new ranking of AI adoption within the industry. 

The Index shows industry stalwarts Visa and Mastercard outpacing their peers and delivering tangible AI outcomes thanks to early investments in talent and innovation.

Behind them, PayPal (3rd), American Express (4th), Stripe (5th) and Block (6th) emerge as the challengers. They outperformed the Index average, but are yet to match the leaders’ scale of deployment and outcome disclosure.

AI Moving from Experimentation to Deployment

Over the past two years, the 12 payments companies in the Index have publicly documented nearly 100 AI use cases. Underscoring how rapidly AI has moved from experimentation to deployment across core payment workflows. It’s a landscape defined by constantly evolving fraud threats and rising customer expectations for faultless, high-speed processing. Evident notes that nearly a third of these use cases disclose measurable outcomes, including efficiency gains, risk reduction and revenue uplift.

“Payments firms adopted AI out of necessity long before many other industries – their business models demanded it. Companies who invested early – like Visa and Mastercard – have gained a clear advantage over their peers, both in AI capabilities and the value their deployments are realising.” Alexandra Mousavizadeh, Co-Founder and Co-CEO of Evident.

Talent, Innovation, Leadership and Transparency

The Evident AI Index for Payments provides the most comprehensive independent benchmark of AI maturity across the industry. It is based on publicly available data around four pillars critical to successful AI deployment: Talent, Innovation, Leadership and Transparency.

According to Evident, Visa’s lead is based on consistent performance across the four pillars. And because it demonstrates the clearest evidence that AI is institutionalised across its core transaction network. Visa and Mastercard show maturity in areas such as fraud detection, cybersecurity and network-level risk reduction. Visa stands out for the scale and measurable impact of a handful of large, multi-year deployments focused on the integrity and security of its entire ecosystem.

“Mastercard shows strong evidence of scaled deployment and quantified performance improvements. Particularly in areas like fraud detection and AML tracing,” continued Mousavizadeh. “But what sets Visa apart is the degree to which the company is demonstrating impact at scale over multiple years. From applications of AI across its operations and network. It signals a shift from individual use cases to AI as institutional capability.

“What the Index also reveals is the importance of consistent innovation to maintain competitive advantage. With relatively nascent industry players like Stripe and Block performing well – and showing their AI potential reflected in their valuations – the Index leaders cannot afford to drop off the pace.”

AI Impact on Show, but ROI Reporting Scarce 

Firms in the top half of the Index account for nearly 80% of use case disclosures (with the top three providing a significant 54%). Highlighting the link between AI maturity and the ability to scale deployment.

Visa performed strongly in this regard. For instance, its latest threat report disclosed advanced AI/ML blocked nearly 85% more fraud compared to one year prior. Similarly, when Mastercard incorporated Gen AI technology into its Decision Intelligence solution, initial modelling showed AI enhancements improved fraud detection rates from an average of 20% to as high as 300% in some instances.

However, Evident notes that no payments company has disclosed realised or projected ROI across all enterprise or group-wide AI activities. 

“The Index leaders are locked in a tight race at a point when the thinking around corporate AI adoption is shifting – away from chasing the biggest models to building technologies that solve real operational problems efficiently,” commented Annabel Ayles, Co-Founder and Co-CEO of Evident. “Against this backdrop, the absence of ROI disclosure – or any group targets for AI ROI – is increasingly conspicuous. Currently, 1-in-5 banks now report on group-level AI returns. However, payments firms have yet to quantify the aggregate impact of their AI investments. To keep justifying this expenditure, the market will sooner or later demand clearer evidence of value.”

A Hotbed of AI Talent

The Index also reveals that the average payments company has over 30% more AI-focused workers than other financial institutions, despite substantially smaller employee numbers. 

The three major card networks – Visa, Mastercard and American Express – account for nearly half (48%) of the payments industry’s AI talent stack. PayPal is currently the biggest employer, accounting for nearly a fifth (18%) of that AI talent.

PayPal’s AI talent has allowed it to build proprietary models tightly integrated with its data and workflows. Consequently, it accounts for nearly a quarter (24%) of the 98 AI use cases documented by its peers over the past two years – 1.7x as many AI applications as detailed by Visa or Mastercard.

“AI maturity is no longer defined by talent volume alone, and the Index leaders combine AI development, data engineering and product capabilities in ways that allow them to move rapidly from model experimentation to production deployment,” concluded Ayles.

The Evident AI Index Methodology

The Evident AI Payments Index ranks the AI maturity of 12 of the largest payment networks and processors across the globe. These 12 entities were chosen by aggregating the largest payment companies, with a minimum of $2B in annual revenue. 

It is an independent, ‘outside-in’ assessment based exclusively on publicly available information. Each company was assessed against 60+ individual indicators, organised into four pillars critical to successful AI deployment at scale: Talent (45% weighting), Innovation (30%), Leadership (15%) and Transparency of Responsible AI activity (10%).

Data is gathered through a combination of extensive manual research and proprietary machine learning tools that extract key data points from company reporting and public disclosures (including press releases, investor relations materials, group-level website pages, group-level social media accounts, and media interviews with senior leadership), as well as a range of third-party data platforms.

Further information on the methodology of the Index can be found at evidentinsights.com

  • Artificial Intelligence in FinTech
  • Digital Payments
  • Neobanking

Author

Dan Brightmore

Published

2 March 2026

Estimated Read time

2Mins

Hampshire Trust Bank (HTB) is using artificial intelligence (AI) to act faster on customer concerns. It is empowering its teams…

Hampshire Trust Bank (HTB) is using artificial intelligence (AI) to act faster on customer concerns. It is empowering its teams to identify and respond quickly, whilst also meeting regulatory timeframes for handling complaints and supporting vulnerable customers.

Netcall: AI-Powered Sentiment

The specialist bank has worked with Netcall to deploy AI-powered sentiment analysis using Netcall’s Liberty Create platform. The solution reduces manual effort and improves operational efficiency by bringing customer emails from multiple mailboxes into a single interface. Incoming messages are automatically analysed to identify dissatisfaction, highlighting cases that may require faster intervention. This allows urgent cases to be prioritised, helping HTB to resolve issues before they escalate and improve the customer experience.

“Our AI-powered sentiment analysis solution rapidly processes vast amounts of email data. Its efficiency allows our team to focus on resolving customer enquiries and issues rather than sorting priorities. The streamlined process ensures swifter responses and better customer outcomes, upholding our reputation for exceptional customer service.” Ed Eames, Head of Customer Savings Operations at Hampshire Trust Bank.

The application was built by the Hampshire Trust Bank development team using Liberty Create. It worked closely with Netcall to integrate AI sentiment analysis into existing processes. Customer-facing teams were involved throughout to ensure the solution aligned with established workflows and regulatory requirements.

Customer Service Control

A key benefit of the approach is the level of control it gives internal teams. Keywords, sentiment thresholds, and classifications can be adjusted directly. This allows rapid refinement as customer behaviour changes or new regulatory considerations emerge, without waiting for development cycles.

“Liberty Create has enabled my development team to work with remarkable agility. The ability to rapidly create and refine applications to meet ever-evolving business needs has significantly enhanced our efficiency. This allows us to deliver a wealth of new features to end users and customers with speed. With the integration of AI, we’ve been able to advance our processes while ensuring exceptional customer service. Our Sentiment Analysis application launch is a prime example of this.” Trina Burnett, Head of Engineering at Hampshire Trust Bank.

The sentiment analysis system also supports automated and ad-hoc reporting. This provides a single source of insight into customer interactions and actions taken. This helps reduce manual effort, supports audit and compliance activity, and enables teams to continuously improve customer service operations.

“As scrutiny around customer experience and accountability increases across UK financial services, the ability to listen, adapt and respond at pace is becoming a defining capability for banks seeking to maintain trust and service standards,” said Alex Ballingall, Key Account Manager at Netcall.

“HTB’s approach shows how banks can use AI-driven insight practically. Turning customer communications into faster action without adding operational complexity,” Ballingall concluded.

About Netcall

Netcall is a leading provider of low-code and customer engagement solutions. A UK company quoted on the AIM market of the London Stock Exchange. By enabling customer-facing and IT talent to collaborate, Netcall takes the pain out of big change projects. It helps businesses dramatically improve the customer experience, while lowering costs. Over 600 organisations in financial services, insurance, local government and healthcare use the Netcall Liberty platform to make life easier for the people they serve. Netcall aims to help organisations radically improve customer experience through collaborative CX.

Learn more at netcall.com

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Payments
  • Digital Strategy
  • Fintech & Insurtech
  • InsurTech

Author

Jack Bingham

Published

20 February 2026

Estimated Read time

5Mins

Jack Bingham, Regional Director of Digital Native UK, Ireland & South Africa, Confluent on how data, treated properly, compounds in value to drive digital disruption

When I talk to founders and tech leaders, one question seems to consistently come up: what separates today’s disruptors from the last decade’s? In 2010, being cloud-first was what made investors sit up and take note. In 2026, it will be streaming-first.

I’ve spent the last year or so working closely with companies that are, quite literally, building their businesses in real time. For them, real-time capability isn’t a department or a layer that supports the business. It is the business. The acid test is simple: how quickly can you capture a critical event – a payment, a login, a failed delivery – and respond with the next best action? That focus shapes how they build products, structure teams, and think about innovation.

Here’s what I’ve learned from them:

Lesson 1: Data is a Product, Not a By-Product

Many traditional companies still treat data as something to collect, store, and analyse later. The new generation of businesses, on the other hand, treats it as a reusable, governed product that everyone can access. When it’s built and shared this way, teams stop rebuilding the same foundations for every new use case. They move faster because they’re working from a single, trusted view of the truth, shortening product cycles, speeding up iteration, and spending more time solving problems that matter.

That mindset, rather than the size of the tech stack or the number of engineers, is what sets disruptive businesses apart. In these organisations, technology, data, and business strategy move in lockstep. Decisions aren’t passed up and down hierarchies, they’re made by teams who understand both the data and the customer problem in front of them.

When you can trust your data and respond in real time, innovation stops being a department. It becomes a reflex.

Lesson 2: Real-Time isn’t a Feature, it’s a Foundation

A few years ago, one of the world’s largest supermarket chains realised it didn’t have a single real-time view of its inventory. Without that visibility, omnichannel experiences were impossible. Once it shifted to a streaming architecture, every transaction became a live event that updated stock, triggered supply chains, and even made it possible to get your groceries delivered straight to your kitchen fridge – coordinated through live inventory data, smart home devices, and real-time security feeds.

That’s the practical power of streaming: it connects what happens in your business to what should happen next so you can provide products and services that take customer satisfaction to a whole other level. Real-time data stops being a reporting tool and becomes the foundation of every decision, interaction, and innovation.

I often ask businesses what they would do differently, if they knew the state of every event in their organisation. The most forward-thinking companies already have the answer. They’re using streaming to turn business events into reusable building blocks, creating new experiences by connecting the data they already have in smarter ways.

Lesson 3: Culture is the Multiplier

Being streaming-first is only half about architecture. The other half is attitude. The best digital enterprises don’t wait for permission to experiment. They map their most important business events, align teams around them, and empower people at every level to react fast and learn faster.

And the difference is visible. Feedback loops are shorter. Structures are flatter. Failure is treated as information. This culture of continuous experimentation is why these companies can move at the pace they do.

We often run ‘Event Storming’ workshops with teams to map their critical business events. The idea is to create alignment – getting people from engineering, product, and operations to agree on what really matters and how those moments connect. That process reveals a lot. 

Digital disruptors go beyond simply deploying streaming architectures. They build streaming mindsets. Leadership plays a crucial role here: data must be treated as a strategic asset. If it isn’t up top, it won’t be anywhere else in the organisation either.

Lesson 4: Streaming and AI will Converge

AI is only as good as the data you feed it. Unfortunately, most enterprises are still feeding it yesterday’s data. Streaming-first companies already know this. They’re building intelligent data pipelines that give AI the context it needs to make decisions in real time.

That’s how the next generation of innovators will pull ahead: not by having bigger models, but by having cleaner, faster, more connected data. Streaming is what will let AI move from reactive to predictive… and from predictive to autonomous.

Too many organisations are cutting investment in data while pouring money into AI projects. But AI without quality data is just expensive guesswork. The companies doing this well understand that data has to be a product in its own right. And when business and technology teams design around that shared understanding, innovation follows naturally.

Lesson 5: The Mindset of the Next Disruptors

If I were starting a company tomorrow, I’d look closely at the critical events that run my business. I’d then make sure I had a way to capture those in the stream, make them reusable, and build every product and process around them. 

When your business can see and act on what’s happening in the moment, you gain something no traditional architecture can give you: time. And in the next wave of disruption, that’s the only advantage that really matters.

If we look to who we can learn from in the coming months, it’s financial services and healthcare that are moving the fastest. Real-time fraud detection, patient monitoring, and risk management are becoming operational necessities – and these industries will set the benchmark for real-time data excellence. 

Looking Ahead to 2026

By 2026, I don’t think we’ll talk about ‘real-time’ as a differentiator. It will simply be how modern businesses operate. Batch systems won’t disappear, but they’ll coexist within a single, streaming-first platform that delivers data whenever it’s needed.

Once every process can react instantly, the question then becomes: can it anticipate? Can it learn? That’s where AI and streaming meet and where we move from reactive to autonomous enterprises that not only respond to the present but adapt to what’s coming next.

Data, treated properly, compounds in value. The decisions you make with it become faster, sharper, and more confident. The companies that understand this will be the ones still leading when today’s titans look like yesterday’s news.

Learn more at confluent.io

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Payments
  • Digital Strategy
  • Embedded Finance

Author

Jonny Combe

Published

19 February 2026

Estimated Read time

4Mins

Jonny Combe, President and Chief Executive Officer, PayByPhone on how urban mobility is evolving from car-centric to multimodal and the opportunity the parking industry has to play a central role by integrating payment infrastructures that support a more connected, flexible mobility ecosystem

The journey has changed. Over the past few years, the mobility industry has undergone seismic shifts toward more digital experiences. Cash payments continue to disappear and in the US made up only about 14% of all payments in 2024. Over half of the US adult population make use of mobile wallets and many companies provide payment opportunities via apps for their services. While this has made some processes more efficient and streamlined, it has also resulted in very fragmented data streams.

Consider this scenario: a commuter drives an Electric Vehicle (EV) to a rural or suburban transit hub where they park and charge, then boards a train into the city. The final mile is completed on an e-scooter, shared bike or another mode of public transport to reach their destination. One journey, four separate payment interactions across four different apps.

This is the daily reality for millions of commuters, and it exposes a fundamental challenge that not only the parking industry, but also the mobility industry as a whole must confront. Continuing to build payment infrastructure for journeys that end at the curb, is no longer enough; we should be facilitating one system for these evolved modern journeys.

City Centres Reimagined

A substantial amount of land in city centers has traditionally been dedicated to parking, but there is a growing trend where we see city centers worldwide redesigning their urban space. On-street parking is giving way to pedestrian zones and cycle lanes. Traditional car parks are transforming into multimodal hubs that are integrating EV charging, micro-mobility stations, and last-mile logistics. Technologies like automatic number plate recognition are helping to eliminate friction at entry and exit points. However, backend complexity of the redesign of urban mobility has grown exponentially.

Local authorities now juggle relationships with cashless payment providers, meter operators, EV charging networks, micro-mobility vendors, and logistics partners. Each bring their own payment rails, reconciliation requirements, and data formats. For many municipalities, simply reconciling payments between a meter provider and a digital parking platform already strains finance teams. Adding multiple mobility partners brings a significant extra load to existing operational capacity and the operational burden is only part of the equation.

The Hidden Cost of Fragmentation

The more critical issue is strategic: fragmented payment systems can create fragmented data, and fragmented data can undermine intelligent policy.

When payment information sits in siloed systems across multiple vendors, authorities lack the consolidated view needed to answer essential questions:

  • How does parking behavior correlate with public transit usage?
  • What pricing strategies would optimize utilization across the entire mobility network?
  • Where should we invest in EV infrastructure based on actual demand patterns?
  • How do we measure progress toward carbon reduction targets?

Without integrated payment and usage data, cities are making significant capital infrastructure decisions with an incomplete picture.

The Payment Layer as Strategic Infrastructure

Forward-thinking cities are, however, beginning to recognize payment infrastructure not as back-office plumbing, but as strategic architecture for the mobility ecosystem.

The solution lies in centralized payment platforms that serve as a unifying layer – ‘super apps’ as they are called in other industries. The backend of these apps should be able to consolidate transactions across multiple mobility services, automate complex multi-party reconciliations, and create unified data lakes that enable AI-driven insights.

This approach can deliver immediate operational relief: finance teams spend less time manually reconciling disparate systems, and the strategic value compounds over time. With consolidated data, authorities can model the true economics of mobility transitions, identify underutilized assets, dynamically price services to manage demand, and measure environmental impact with precision.

Building for What Comes Next

The parking industry has always been about managing physical space, yet the future is about orchestrating mobility experiences. The question for industry leaders isn’t whether parking will integrate with broader mobility systems but whether parking operators will architect that integration intentionally.

Doing so requires a fundamental rethink of the role parking payment providers play in the payment value chain, while investing and building the technology and the payment infrastructure that makes seamless, sustainable urban mobility possible.

The infrastructure we build today will determine whether cities can deliver on their mobility and sustainability commitments tomorrow. For parking industry leaders, this is both a challenge and an opportunity: to evolve from transaction processors into the essential connective layer of urban mobility. Those with the vision, and the technological ability to rise to that challenge, have a real opportunity to lead the next generation of multimodal mobility payments.

About PayByPhone                                                     

PayByPhone is a global leader in mobile parking payments. We simplify journeys for millions of UK drivers with smart, intuitive technology and user-focused features. In addition to fast, secure parking payments, drivers can also locate nearby fuel stations and EV chargers – and pay for EV charging – all in the PayByPhone app. We work with over 1,300 cities and operators across the UK, North America, France, Germany, and Switzerland. More than 110 million drivers worldwide have downloaded the PayByPhone app to simplify their parking and vehicle payments to date. To discover how our products and services can elevate your driving experience.

Learn more at paybyphone.co.uk

  • Digital Payments
  • Digital Strategy

Author

Dan Brightmore

Published

21 January 2026

Estimated Read time

2Mins

New research from myPOS, the European payments provider for small and medium-sized businesses, reveals that Britain’s shift toward tap-to-pay is leaving…

New research from myPOS, the European payments provider for small and medium-sized businesses, reveals that Britain’s shift toward tap-to-pay is leaving traditional PIN codes behind. As contactless becomes the country’s top payment preference, almost a third of young adults now admit they can’t remember the four digits once central to everyday spending.  

myPOS data reveals 29% of Gen Z struggle to remember, or have completely forgotten, their PIN. Highlighting how digital-first habits are shaping consumer behaviour. However, it isn’t just younger groups that are feeling the effects. One in five Boomers (20%) say they face the same issue as reliance on physical cards significantly declines. 

Contactless Payments

This shift has been driven largely by the dominance of contactless card and mobile payments. Over two-thirds of Brits (69%) say tapping, via card, mobile phone, or smartwatch, is now their primary method of payment. In contrast, just 16% rely mainly on chip and PIN, and only 14% primarily use cash. A further 10 % of Brits now live entirely wallet-free, using only their mobile or smartwatch for day-to-day spending. 

Convenience-led behaviours are accelerating the decline of PIN usage across the UK. Nearly half of British consumers (47%) say they would happily go completely contactless if it meant shorter queues in shops and venues. Flexibility and convenience (42%) and speed (34%) remain the largest drivers behind the rise of tap-to-pay.  

“As the UK embraces contactless and mobile payments, it’s clear that the traditional PIN is becoming less central to everyday transactions. Businesses and payment providers should ensure security and convenience go hand-in-hand, while recognising that consumer habits are evolving rapidly.”

Michael Ault, Country Manager at myPOS UK

  • Digital Payments
  • Fintech & Insurtech
  • Neobanking

Author

Dan Brightmore

Published

19 January 2026

Estimated Read time

5Mins

Michael Ault, Country Manager at integrated payments specialists myPOS, offers strategic advice for SMEs looking to scale through digital transformation and diversification

Scaling a small business is one of the most rewarding, yet complex journeys for any entrepreneur. While growth brings opportunities for greater reach, higher revenue, and stronger market presence, it also demands foresight, discipline, and the ability to manage risk strategically. Securely integrating new technology is the main obstacle for 47% of SME’s, even though 76% of these businesses intend to expand their IT investment. This underscores a key point of tension, as many businesses want to grow through digital transformation but struggle to do so securely and sustainably.

The business landscape continues to evolve with changing customer expectations, technology, and economic conditions. For UK SMEs, the key to long-term success lies in achieving growth but also in building resilience. Sustainable scaling comes down to three principles: embracing technology pragmatically, diversifying intelligently, and investing in people and partnerships that strengthen resilience.

Leveraging Digital Transformation

Digital transformation is the foundation of business growth, especially for small business. Cloud-based solutions, automation, and data analytics help to streamline operations, reduce inefficiencies, and create better customer experiences. However, transformation must be purposeful, not performative.

The smartest approach is to scale technology investment incrementally, integrating flexible, modular systems that evolve with business needs. This approach not only lowers risk but also helps ensure digital maturity evolve over time. When SMEs use modular, cloud-based technology, operations run more smoothly and changes can be effectively analysed. Ultimately, resilience is not built through one-time upgrades but through a culture of continuous digital evolution.

Diversifying Revenue Streams

Depending on a single product, service, or market leaves a business vulnerable to sudden changes in demand. Diversification, when guided by customer insight and data can turn volatility into opportunity. Expanding into online sales, introducing subscription models, or targeting fresh customer segments can make income streams much more stable and sustainable.

At myPOS, we know that even simple changes based on data, such as adding additional payment options or tapping into cross-border e-commerce, can help cash flow and protect against market shocks. The goal of technology is to mitigate specific challenges without adding layers of complexity.

Investing in Employee Development

Your people are pivotal to your ability to grow as a business; empowered teams are the engine of sustainable scale. A team that feels supported and motivated will bring fresh ideas, adapt to challenges, and push the business forward. Investing in training, mentoring, and development opportunities builds skills that pay back in the form of innovation and improved performance.

In fast-changing industries, having employees who are confident in learning and adapting can make the difference between struggling through disruption and taking advantage of it. Equally, strong partnerships extend this resilience beyond the organisation. Building resilience at the team level creates resilience for the whole business, so fostering a culture of continuous learning and celebrating employee contributions is key to maintaining motivation.

Focusing on Financial Health and Flexibility

Financial resilience underpins sustainable growth. Scaling often requires upfront investment, and without healthy cash flow or reserves, opportunities can be lost. Monitoring income and expenses closely, cutting unnecessary costs, and preparing for seasonal fluctuations gives businesses more control.

Having flexible financing options, like credit lines, small business loans, or even crowdfunding, provides a level of agility. Instead of being caught off guard by unexpected challenges, businesses with financial flexibility are positioned to respond quickly and strategically.

Financial management software can make it easier to track performance, spot issues early, and forecast future needs. When you can see your finances in real time, you can make proactive, data-driven decisions instead of waiting for problems to happen. In markets that change quickly, this kind of financial management helps small firms plan with confidence, stay flexible, and establish a stronger base for long-term growth.

Prioritising Customer Relationships and Feedback

Your customers are not just buyers; they are advocates, sources of insight, and the foundation of repeat business and brand loyalty. Businesses that scale successfully often place customer relationships at the heart of their strategy by actively gathering feedback, responding quickly to issues, and personalising interactions, which shows customers they are valued.

This loyalty becomes a form of resilience. In periods of uncertainty, a base of satisfied, returning customers provides more stability than constantly chasing new ones. Successful businesses use CRM tools to track customer preferences and automate follow-ups so no opportunity to strengthen a relationship is missed.

Building Strategic Partnerships

Partnerships can accelerate growth while also spreading risk. Working with other businesses, organisations, or influencers can provide access to new audiences, shared expertise, or additional resources. Collaboration can also create opportunities for joint marketing, co-branded initiatives, or innovative product and service offerings.

In times of uncertainty, strong partnerships act as a support network. By aligning with others who share your values and vision, you create opportunities that are mutually beneficial and more resilient than going it alone. It is important to find partners whose goals and audiences complement your own for the best long-term impact.

The next stage of small business success will be defined by resilience rather than speed, the ability to adapt, recover, and continue to create value in the fact of uncertainty. For SMEs, this means developing adaptable growth plans that include flexible technology, diverse models and empowered employees.

Learn more at mypos.com

  • Data & AI
  • Digital Payments
  • Digital Strategy
  • Fintech & Insurtech

Author

Can Taner

Published

13 January 2026

Estimated Read time

3Mins

Can Taner, Chief Product Officer at Bitpace, analyses the most important shifts in the crypto and payments landscape

The crypto industry has entered a phase of unbundling. Instead of one-size-fits-all platforms that try to do everything, businesses are looking to specialised providers that solve real-world problems with focus and precision. This shift defines how leading firms now build products: client-first, agile, and compliance-ready by design.

Solving Real Problems with Real Products

The key to building effective crypto payment solutions is understanding what businesses actually need. Payments should help companies operate faster, more efficiently, and at lower cost. Rather than chasing every trend, the focus should be on creating tools that remove friction and add measurable value.

That’s why many providers now offer modular solutions designed to work seamlessly across industries:

  • Payment gateway – enabling merchants to accept crypto securely, with instant conversion to fiat if needed, reducing volatility risk.
  • Global settlements – allowing businesses to move funds cross-border quickly and cost-effectively, bypassing traditional bottlenecks.
  • API integration –giving partners the tools to embed crypto payment functions directly into their platforms, delivering a frictionless experience for end-users.
  • OTC services –providing access to large-scale crypto trades, executed with discretion, high liquidity, and competitive pricing.

Each product is tailored to solve a specific pain point. Instead of bundling everything into a rigid system, we focus on flexible modules that businesses can adopt individually or together.

Agility and Expertise in Product Development

For providers, being specialised also means being agile. Every client problem requires a different approach, and in-house expertise allows them to respond quickly without compromising quality. From compliance to sales to product development, teams must collaborate to find creative solutions that meet the highest regulatory and technical standards.

This agility is only possible if they invest in deep domain knowledge. Product and engineering teams that understand the nuances of payments, crypto, and regulation can adapt quickly to market changes while keeping compliance at the core of every decision.

How to Launch New Products Effectively

Launching a new product in crypto, or any fast-evolving sector, demands structure and discipline. The most successful teams follow a process that balances creativity with rigour.

  • Start with ideation. Listen closely to client feedback, analyse emerging trends, and identify where the market still falls short. Great products don’t begin with technology, but with a clear problem to solve.
  • Do the research. Test assumptions early, model potential use cases, and validate compliance requirements before writing a single line of code. A strong evidence base prevents costly pivots later.
  • Plan collaboratively. Bring product, legal, compliance, sales, and technology teams together from the outset. Aligning goals across functions ensures that innovation doesn’t come at the expense of security or scalability.
  • Build with resilience in mind. Security, interoperability, and performance should be built into the product from day one, not retrofitted at the end.
  • Test thoroughly. Create safe environments to simulate real-world conditions and identify weaknesses before launch. Testing isn’t just a single step, but an ongoing cycle.
  • Launch deliberately. Roll out in phases, gather user feedback, and support early adopters closely. A careful launch builds trust and sets the stage for sustainable growth.

Each of these stages is designed to reduce risk, accelerate learning, and maximise long-term value, principles that define successful product development in today’s crypto landscape.

How Specialisation Wins

Launching products in crypto is about precision and collaboration. The great unbundling of crypto is rewarding those who specialise, focusing on solutions that solve real business challenges. Specialised providers win because they put the client first. That focus on expertise and flexibility is what defines success in the new era of crypto payments.

Learn more at bitpace.com

  • Blockchain & Crypto
  • Digital Payments
  • Fintech & Insurtech

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

4 September 2025

Estimated Read time

5Mins

The Financial Transformation Summit (FTS), presented by MoneyNext, took place June 18-19 2025 at London’s ExCeL Centre, Royal Victoria Dock. With over 2,000 attendees, 300+ speakers, and 400 roundtables, it stood out as one of the most immersive and interactive events in the financial services calendar.

FinTech Strategy hit the conference floor at the heart of the action delivering insights from experts across Banking, Insurance, Wealth, and Lending at Financial Transformation Summit (FTS).

Financial Transformation Summit attendees from banking, insurance, wealth, lending, fintech, consultancy, and regulatory sectors convened for two days packed with keynotes, panel talks, immersive demos, and networking among 60+ exhibitors and startups.

Co-located streams – Banking, Insurance, Wealth, and Lending part of themed zones – meant that ticket-holders could explore adjacent sectors fluidly across a guiding theme: culture, collaboration, and customer centricity driving tech adoption and transformation.

Programme Highlights

Keynotes & Panels

1. Data Silos & Cross‑Institutional Collaboration

A panel featuring senior leaders from EVLO, Aon, Schroders, and Brit Insurance tackled how institutions – despite collectively spending over $33 billion annually on data – still struggle to collaborate due to privacy concerns and regulation. Innovative solutions included federated learning, anonymised client IDs and consent-backed APIs.

2. Digital Insurance via Wallets

Anna Bojic (Miss Moneypenny Technologies) unveiled a fresh take on insurance – embedding policy and claim data into Apple/Google Wallets. The idea: dynamic customer interaction directly from smartphone wallets, enhancing real‑time engagement and retention.

3. ESG Economics & Market Reality

Marc Kahn (Investec) challenged ESG orthodoxy, urging firms to emphasise human and planetary wellbeing – beyond purely financial returns – to capture stakeholder trust and sustainable growth.

4. People & Psychological Safety

Kirsty Watson (Aberdeen Group) and Vikki Allgood (Fidelity International) underlined that technological investments are futile without organisational design and psychological safety. Allgood cited a McKinsey study revealing only 26% of leaders build teams with a sense of safety – a critical step toward innovation.

5. Human‑Centred AI

Monica Kalia (Planda AI) championed AI that models individual financial contexts – recognising diversity within demographic cohorts and personalizing services accordingly.

Roundtable Experiences at FTS

At the event’s heart were the TableTalk roundtables – 400+ small-group sessions, each led by a subject-matter expert. These were limited to six participants each, enabling deep, peer-led discussions on themes like:

  • AI in risk and compliance
  • Open banking integration
  • ESG data standards
  • Cyber resilience
  • Change management and culture adaptation

Attendees consistently praised their interactive nature – far removed from the stage‑focused “listening” format often critiqued at other conferences.

Demonstrations & Exhibitor Showcase

Over 60 exhibitors presented tech-driven innovations: Generative AI, open‑banking APIs, ESG reporting tools, embedded finance solutions, and more. A few standouts were:

  • CRIF highlighted AI-powered credit scoring with ESG overlays – promising dynamic risk assessments backed by sustainability data
  • Emerging FinTechs demoing AI compliance engines, digital wallet insurance packaging, and data-sharing platforms
  • Hyland demonstrated the intuitive end-user experience of its Hyland Content Innovation Cloud™ and showed how easy it is to configure, tailor and deploy solutions that can empower key stakeholders across any business

The demo zone allowed engaging, hands-on exploration and real-time Q&As; it complemented the content with practical insights.

Standout Themes & Strategic Insights

1. Tech is Not Enough Without Culture

Recurrent messaging emphasised that culture, trust, governance, and psychological safety are foundational – not secondary – to digital initiatives. Technology alone won’t deliver transformation without a people-first mindset.

2. Cross‑Sector Data Collaboration

Despite heavy investment, institutions still operate in silos. Shared, secure infrastructure and regulatory-aligned frameworks are being prototyped, but broad adoption remains a work in progress.

3. AI-as-a-Personalisation Backbone

AI is shifting from automation to empathy. Organisations showcased tools to hyper-personalise offers yet maintain privacy and inclusion – moving beyond outdated demographic frameworks into genuine behavioural understanding.

4. Embedded Finance & Digital Wallets

Insurance via wallet applications and embedded finance models point to seamless customer journeys – less app hopping, more value delivered at the point of need.

5. Rebalancing ESG & Profit Metrics

Speakers emphasised integrating ESG factors into performance metrics – not just for compliance, but as an operative advantage anchored in long-term stability and stakeholder trust.

Who Should Attend FTS Next Year?

Ideal for:

  • Transformation and change leaders
  • CTOs, CIOs, and Heads of Innovation
  • Data and AI strategists
  • Operational and HR leaders focused on culture
  • FinTech innovators and solution providers

If you’re crafting digital transformation strategies, an attuned leader in financial services, or a consultant embedding tech in legacy environments, this summit provides rich, actionable content.

Expect next year’s event to build on this foundation:

  • More AI-specific tracks, possibly Generative AI streams
  • ESG deep-dives with case studies on implementation
  • Expanded regulator involvement around data governance and cross-border compliance

FTS: Final Verdict

Overall, the FTS 2025 delivered on its brand promise:

  • Interactive and inclusive: 400 roundtables empowered voices across levels.
  • Cross‑sector learning: Banking, Insurance, Wealth, and Lending streams offered both breadth and depth.
  • Insightful keynotes: Big ideas on AI, ESG, data-sharing, and culture were well-explored.
  • Real-world relevance: Exhibitor demos connected theory with practice.
  • Networking with purpose: Opportunities to engage, learn, and collaborate were abundant.

The Financial Transformation Summit struck a compelling balance between big-picture vision and granular, execution-level insight. It emphasised that while technology enables; culture, customer centricity and collaboration drive real progress. The format – with its roundtables, demos, and keynotes – offered a dynamic platform for knowledge exchange.

If you attended, chances are you left with practical next steps. If you didn’t, you missed one of the most interactive, future-focused events shaping financial services transformation today.

  • Artificial Intelligence in FinTech
  • Digital Payments
  • Embedded Finance
  • Events
  • Host Perspectives
  • InsurTech

Author

Dan Brightmore

Published

1 August 2025

Estimated Read time

5Mins

Read in brochure format

FinTech Strategy meets Ishtiaq M Ahmed, Senior Product Manager – Emerging Tech, Innovation & Ventures at HSBC, to learn more about the future of payments – real-time, cross-border and beyond

Financial Transformation Summit 2025 EXCLUSIVE

At the Financial Transformation Summit 2025, Ishtiaq M Ahmed, HSBC’s Senior Product Manager, for Emerging Technology, Innovation & Ventures, joined a panel with J.P. Morgan, Revolut, Lloyds and EY to explore how real-time payments, embedded finance and global collaboration are shaping the future of financial services. How are real-time payments reshaping banking infrastructure? What are the regulatory challenges for cross-border payments? How can banks compete with FinTechs in the rapidly evolving payments space? How are digital wallets and mobile payment platforms changing consumer spending behaviours?

We spoke with Ishtiaq after the session to explore what drives HSBC’s approach to innovation, how customer expectations are evolving, and why trust remains at the core of transformation.

Hi Ishtiaq, tell us about your role at HSBC?

“I work on Global Product within HSBC’s Emerging Technology, Innovation & Ventures team. Our focus is to deliver next-generation propositions, particularly across payments, embedded finance and frontier technologies. We work on horizon 2 and 3 initiatives, with a view to turning emerging ideas into viable, scalable solutions. The goal isn’t just to experiment. It’s to test, validate and shape innovations that will help us serve customers better and redefine how financial services operate in the years ahead.”

It’s a transformational time for payments with the rise of open banking and a national vision for the UK. Give us your overview…

“Payments is possibly the most loved area by both FinTechs and banks. A lot of what is happening in payments, it’s where a lot of meaningful innovation is already landing. It’s no longer theory or ideation, its practical and accelerating. The UK’s National Payments Vision is ambitious, and rightly so. But ambition needs alignment. We need stronger collaboration between Banks, FinTechs, Regulators and infrastructure service providers. This journey will take time and coordination. It’s more a marathon than a sprint, and we’re only just getting started.”

Why is this an exciting time for HSBC?

“Simply because the way technology has penetrated our lives and the influence of technology on how banking is evolving are very closely knitted. Technology is no longer on the edges of banking; it’s embedded in every customer interaction.”

“The shift towards alternative payment methods is one I feel strongly about. For decades, the path was linear: cash to cheque to card. Now, we’re entering a new chapter. Pay by Bank, or direct account-to-account payment, is gaining traction. Some regions have already scaled it. In the UK, it’s about to accelerate. This trend will unlock lower costs, faster movement of money and better control for users. It’s not just about technology. It’s about user experience and future-ready infrastructure.”

What other pain points are your customers experiencing that you need to address? What are they asking you for help with? How are you meeting the challenge?

“I think for customers it’s very simple. As a customer myself, I look for speed, ease, and simplicity in everything that I do. That’s universal. But what makes it complex today is the influence of AI, automation and data. People want innovation, but not at the expense of trust. So, while we innovate, we keep trust as the anchor. The real test is whether customers can do more, faster and easier, while still feeling their money is protected and their experience is safe. That’s the balance we aim to strike.”

Tell us about a recent success story…

“We’re particularly proud of the work we’re doing on embedded payments. The goal is to make payments feel invisible – integrated into the environment the customer is already in. Whether that’s a retail website, a social app or a business platform, customers shouldn’t have to toggle across apps to complete a payment. We have already launched products in this space, and we’re continuing to build. It’s about making banking ambient – present where the customer is, not where the bank wants them to be.”

Why do you think the evolution of collaboration between banks and FinTechs is set to continue? What are you excited about?

“FinTechs bring urgency and imagination. Banks bring trust, infrastructure and scale. The opportunity is not in competing, but in co-creating. We have seen some encouraging partnerships, and we’re still working at the surface level. There’s a much deeper layer of value if we can move beyond tactical deals into genuine joint innovation.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for HSBC?

“Events like this are important because they bring together different voices with a shared interest in shaping the future. What stood out to me is how open the audience and panellists are to challenging ideas and exploring new perspectives. These are places where real conversations happen; where you meet regulators, banks, FinTechs and enablers all under one roof. It’s these intersections that move the industry forward.”

Learn more at ventures.hsbc.com

About HSBC Emerging Technology, Innovation & Ventures

HSBC Emerging Technology, Innovation & Ventures team is a global group of technologists, data scientists and venture specialist dedicated to shaping the banks future capabilities. Our goal is to deliver world class digital-first banking across HSBC’s global footprint.

Our mission is to drive meaningful innovation across the organisation by identifying and unlocking opportunities that enhance customer experience, improve operational efficiency and embrace disruptive technologies.

Our approach is rooted in experimentation, rapid prototyping, continuous iteration. By working closely with both internal and internal partners and external collaborators, we test and refine new ideas, prioritising solution that are scalable, impactful and aligned with the needs of our customers.

We actively partner with leading technology firms, FintTechs, academic institutions and policy makers to stay at the forefront of digital innovation and accelerate time to market.

By combining the scale, trust and resilience of HSBC with agility and mindset of a tech start-up, we aim to nurture transformative ideas, drive strategic innovation and shape the future of banking.

  • Digital Payments
  • Events
  • Together in Events

Author

Dan Brightmore

Published

5 June 2025

Estimated Read time

3Mins

The final day at Money20/20 Europe 2025 was packed with more insights on the future of FinTech, from banks to borderless innovation.

Money20/20 Conference Themes & Tracks

Money20/20 Europe 2025 is structured around four thematic content tracks:

  • Digital DNA – Exploring core infrastructure, platform strategies, and foundational technologies.
  • Embedded Intelligence – AI, machine learning, data strategies, and real-time analytics.
  • Beyond Fintech – Partnerships between fintechs and other sectors like retail, health, and climate.
  • Governance 2.0 – Regulation, digital identity, privacy, and ESG compliance.

Day three featured more impactful sessions across all four pillars, offering attendees more valuable insights and strategies for innovation.

Highlights from Key Sessions at Money20/20 Europe:

How to Create and Leverage FinBank Partnerships

The discussion focused on the evolution and success of FinTech partnerships with banks. Key points included the shift from transactional partnerships to more collaborative, value-driven relationships, emphasizing joint KPIs and product creation. 

Alex Johnson, Chief Payments Officer, Nium

“You really have to differentiate. You really have to stand out for a bank to say, ‘Yeah, I like what you offer enough to go through, six months of onboarding.’ Dare I say, maybe more.”

John Power, SVP, Head of JVs & AQaaS, Fiserv

“The legacy system, it’s a fact of life. They’re there. They’re pervasive. They’re going to be here for a long time, and banks historically have made huge investments in those platforms and systems. So I think both the challenge for the for the bank and the opportunity for the FinTech is, how do you at the front end of those legacy systems develop new products that can scale and that you can bring cross border easily and readily.”

Cecilia Tamez, Chief Strategy Officer, Dandelion Payments

 “It really is cutting the line to be able to deliver opportunity for customers and to be able to expand propositions for new customers.”

“The economic development supply chains shifting to low to middle income countries are incredibly important right now, and cross border payment rails have not been good in low middle income countries.”

Where Fintech goes Next: Tapping into Platforms and Verticals 

The discussion centred on the democratisation of financial services through embedded finance. The panel emphasised the importance of data quality, personalisation, and strategic partnerships in delivering seamless financial experiences – ultimately enhancing customer satisfaction and improving business efficiency.

Hiba Chamas, Growth Strategy Consultant – Independent

“Embedded finance is going to be defined by region and use cases.”

Amy Loh, Chief Marketing Officer – Pipe

“Small businesses don’t want to manage their business through a bunch of different tools that are stitched together. They’re looking to platforms to do everything for them and keep high end services.”

Zack Powers, VP Commercial & Operations – Mangopay

“Most platforms or merchants out there trying to diversify revenue, and they will get auxiliary revenue, or maybe get primary revenue through FinTech activity.”

The Neobanks Strike Back

​​In a dynamic exploration of neobanking’s evolution, Ali Niknam revealed bunq’s remarkable journey from a tech-driven startup to a sustainably profitable digital bank. By leveraging AI across every aspect of their operations, bunq has transformed traditional banking, reducing support times to mere seconds and creating a hyper-personalised user experience. Niknam emphasised the power of user-centricity, showing how innovative features like simple stock trading and multi-language support can democratise financial services.

The bank’s strategic approach – focusing on user needs rather than investor expectations – has enabled them to expand thoughtfully, with plans to enter the UK and US markets. By embracing technological change and maintaining a relentless commitment to solving real customer problems, bunq exemplifies the next generation of banking.

Ali Niknam, Founder & CEO, bunq


“Somewhere in the 70s, we let go of the gold standard, and now currencies are basically floating. The only reason why a dollar or a euro is worth what it’s worth is because of trust and perception. Philosophically, it’s very logical that we have found another abstraction layer by introducing stablecoin, which is not much else than a byte number that has a denomination currency as a backing asset that itself doesn’t have anything as a backing asset. A lot of people might ask, ‘Why would you need a stablecoin? We have euros. I go get a coffee, pay with Apple Pay or cash.’ But there are many countries on this planet where the local currency is not stable. If your country has an inflation rate of 30,000% like Zimbabwe, you would really love to use a different currency. The US dollar has been the currency of choice, but as a normal person, you cannot access the US dollar. A US dollar stablecoin that you can access by simply having a mobile phone – that’s going to be transformational for large groups of people.”

Innovating When Regulation Can’t Keep Up: Lessons from NASA 

Lisa Valencia covered an array of topics, from her 35 year career at NASA and Guinness World Record to the rise of private entities like SpaceX, which has launched 180 missions this year, and the increasing role of public-private partnerships in space exploration. The speaker also touched on international collaborations, particularly with the European Space Agency and the Italian Space Agency, and the potential for space tourism and colonization of the moon.

Lisa Valencia, Programme Manager/Electrical Engineer – Pioneering Space, LC (ex NASA)

“Back in the day, NASA got 4% of the national budget. Now it’s down to just 0.1%, so we’ve had to get creative with private partnerships. SpaceX is the perfect success story. They came to us in 2007 needing money after some rocket mishaps, and look at them now! From my balcony, I see their launches every other day. They’re planning 180 launches this year alone.Talk about a return on investment!” 

“We’re planning to colonise the South Pole on the moon. The idea is to extract water and hydrogen from the regolith—both for living there and for fuel.”

Scaling Internationally in 2025: Funding, Innovating, and Breaking into New Markets

The conversation focused on the growth and strategy of fintech companies, particularly those with a strong presence in Europe and the US. The panel featured Ingo Uytdehaage, CEO and co-founder of Adyen, and Alexandre Prot, CEO of Qonto. Both leaders expressed a preference for organic growth over acquisitions, emphasizing the importance of scaling efficiently before pursuing an IPO.

Ingo Uytdehaage, CEO and co-founder of Adyen

“I think an important part of scaling a company is not just thinking about your product, but also considering the markets you want to address, and how you ensure you become local in each country.”

“We realised over time that if we really want to bring the customers, we need to have the best licenses to operate. A banking license gives you a lot of flexibility.” 

“Being independent from other companies, other financial institutions, that gives you flexibility to build what your customers really want.”

“I think it’s very important, also in Europe, that we continue to be competitive. If you think about regulations and AI, we shouldn’t try to do things completely differently compared to the US.”

Alexandre Prot, CEO of Qonto

“We need to be very strict about tech integration and avoiding legacy which slows us down.”

“We still need to scale a lot before we have a successful IPO. A few team members are working on it and getting the company ready for it. But, the most important thing is just scaling efficiently in the business, and maybe an IPO would be welcome in a couple of years.”

Putting The F in Fintech

The panel discussion focused on the role of women in FinTech based on personal experiences.

Iana Dimitrova, CEO, OpenPayd

“At times, being underestimated is helpful, because if you’re seen as the competition, driving an agenda is becoming more difficult. So what I found, actually, over a period, is that bringing your emotional intelligence, leaving the ego outside of the outside of the room, and just focusing on execution is is incredibly helpful.” 

Megan Cooper, CEO & Founder, Caywood

“The moment we start defining ourselves as like a female leader or a female entrepreneur, you almost kind of put yourself in a bit of a box. And so I think just seeing yourself on an equal playing field and then operating it on an equal playing field and interacting in that way is quite advantageous.”

“We can’t just want diversity and hope it happens. We actually have to be intentional about creating it.”

Valerie Kontor, Founder, Black in Fintech

“Black women make up 1.6% over the FinTech workforce, but when we look at the financial reality of black women by the age of 60, only 53% of black women have enough money in their bank account to retire. We need to start marrying people in FinTech and the people that we need to serve.”

Money20/20 Europe 2025 closed its doors but the next edition of the conference will return to Amsterdam from June 2–4, 2026, promising to continue the tradition of shaping the future of financial services…

  • Artificial Intelligence in FinTech
  • Blockchain & Crypto
  • Cybersecurity in FinTech
  • Digital Payments
  • Embedded Finance
  • Host Perspectives
  • InsurTech
  • Neobanking