Dave and Dharm DeMystify

Hosted by Dave and Dharm DeMystify Fintech

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162

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Jun 2026

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About the show

A unique perspective of Fintech formed through decades of designing and delivering online financial services.

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June 9, 202626 min

EP 159: Demystifying Trust, AI Agents, and the Future of Digital Commerce with G2A

In this week’s episode, Dave is joined by Bartosz Skwarczek, Founder and Chairman of G2A, for a fascinating conversation about trust, artificial intelligence, and how digital marketplaces are preparing for the next era of online commerce. Bartosz shares the story behind G2A’s growth from a small gaming business in Poland to one of the world’s largest digital entertainment marketplaces, serving more than 35 million users across 180 countries. What began as a traditional online store evolved into a global marketplace, creating an ecosystem where buyers and sellers can connect at scale while maintaining security and trust. A key theme throughout the episode is the changing nature of trust in the age of AI. Historically, trust in e-commerce centred on the relationship between buyers, sellers, and marketplaces. However, as AI agents become increasingly capable of making decisions on behalf of users, businesses are now facing a new challenge: how do consumers learn to trust autonomous systems? The discussion explores research conducted by G2A and Juniper Research, which found that around 30% of consumers would already be willing to allow an AI agent to complete an entire purchasing journey on their behalf, including selecting products and making payments. While adoption is still in its early stages, the findings suggest that consumer attitudes towards AI are evolving rapidly. Another important theme is the rise of agentic commerce. As AI agents become more sophisticated, future transactions may increasingly take place between autonomous systems acting on behalf of both buyers and sellers. This creates new challenges around governance, accountability, and verification, raising important questions about how trust can be established in an AI-driven marketplace. The conversation also highlights G2A’s long-standing investment in artificial intelligence. Long before the recent AI boom, the company was using machine learning to power anti-fraud systems and improve security. Today, AI supports a wide range of functions across the organisation, from fraud prevention and operational efficiency to customer experience and decision-making. Fraud prevention is another major focus of the discussion. As AI tools become more accessible, both businesses and bad actors are becoming more sophisticated. Bartosz explains how G2A combines seller verification, payment security, real-time anomaly detection, and continuous data analysis to create a secure environment while maintaining a seamless customer experience. Finally, the conversation turns to the future of AI adoption. Rather than viewing AI as simply another productivity tool, Bartosz argues that organisations must embed it into their culture, processes, and ways of working. As AI agents become increasingly capable, the companies that succeed will be those that can balance innovation with trust, transparency, and security. For anyone interested in artificial intelligence, digital commerce, fintech, and the future of trust online, this episode offers valuable insights into how marketplaces are adapting to a world where humans and AI increasingly work side by side.

May 20, 202631 min

EP 158: Demystifying AI Adoption, Culture, and Transformation with SynthWise

In this week’s episode, Dave and Dharm are joined by Ben Sheedy, co-founder of SynthWise, for a fascinating conversation about one of the biggest challenges facing businesses today: not whether to adopt AI, but how to do it successfully. Ben shares the story behind SynthWise and how his own experiences experimenting with early language models revealed that AI adoption is far more than a technology rollout. Instead, he argues that businesses must rethink workflows, behaviours, and even company culture if they want to unlock meaningful value from AI. A key theme throughout the episode is the gap between individual AI usage and organisation-wide transformation. While some employees are already becoming dramatically more productive through tools such as ChatGPT, Claude, and Gemini, many businesses are struggling to convert those individual gains into measurable outcomes across teams or departments. The conversation explores why this disconnect exists and why simply giving every employee access to a single AI tool is rarely enough. The discussion also highlights what Ben describes as the “three silo challenge” surrounding AI adoption. The first is the vendor silo, where organisations rely too heavily on a single AI provider despite different models having different strengths. The second is the collaboration silo, where individuals are becoming more productive but are unable to effectively share or scale those improvements across the wider business. The third is the data silo, where companies are hesitant to connect proprietary or sensitive information to AI systems due to concerns around privacy, compliance, and security. Another important theme is the tension between innovation and risk. Many organisations remain cautious about AI adoption because of concerns around data leakage and governance, particularly in highly regulated industries such as financial services. However, the episode argues that banning AI entirely may actually increase risk by driving employees towards unmonitored “shadow AI” usage outside official systems. The conversation also explores the growing importance of AI literacy and critical thinking. Ben argues that AI should not be treated as a replacement for human judgement, but as a collaborative tool that enhances thinking, creativity, and productivity. Throughout the discussion, the speakers stress the importance of teaching people how to use AI effectively, responsibly, and critically, not just within businesses, but also within schools and education systems. Another compelling angle is the cultural challenge surrounding AI transformation. While many organisations currently focus on AI as a cost-cutting tool, the episode suggests that this mindset may undermine adoption by creating fear and resistance among employees. Instead, Ben advocates for a more positive approach centred on augmentation rather than replacement, using AI to remove repetitive tasks and create more time for higher-value, human-focused work. The discussion also examines how AI transformation compares with previous waves of digital transformation. Rather than simply adding AI onto existing workflows, businesses may need to fundamentally rethink how work is structured and how employees interact with technology. This raises important questions around leadership, organisational design, and the role of experimentation within modern businesses. Finally, the conversation turns to the future of AI-native organisations. Ben argues that the companies most likely to succeed will be those that combine top-down leadership with bottom-up experimentation, creating environments where employees feel empowered to explore, test, and develop new AI-driven ways of working. For anyone interested in AI adoption, organisational change, and the future of work, this episode offers a practical and thought-provoking perspective on how businesses can move beyond hype and begin integrating AI in meaningful ways.

May 12, 202624 min

EP 157: Demystifying Super Apps, Hyper-Personalisation & the Future of Banking with Freedom Bank

In this week’s episode, Dave is joined by Vyacheslav Kim, CEO of the Freedom Super App and Managing Director at Freedom Bank, for a fascinating conversation about how super apps are reshaping banking by integrating financial services with everyday lifestyle experiences. Vyacheslav shares the story behind building the Freedom Super App, which started with the acquisition of a small bank with just 40,000 customers and evolved into a platform designed to serve millions of users across Kazakhstan. Rather than creating a traditional banking app, the team set out to build a unified ecosystem that combines banking with services such as travel, food delivery, media, and health, all within a single application. A key theme throughout the episode is the shift from standalone banking products to integrated, everyday services. In a market where customers often use multiple banking apps, the Freedom team recognised the need to create a platform that delivers daily value, encouraging higher engagement and retention. Today, the app offers dozens of services across three core layers: everyday banking, lifestyle services, and value-added features such as loyalty programmes and rewards. The conversation also explores the concept of hyper-personalisation. By building a comprehensive data ecosystem, including a “360-degree customer profile,” the platform is able to understand user behaviour in detail, from purchasing habits to travel patterns, and deliver highly targeted, contextual offers. Rather than generic promotions, users receive personalised recommendations based on their preferences, timing, and past activity, significantly improving engagement. Another important innovation discussed is the introduction of a proprietary rewards system, where customers receive cashback in the form of real stock-linked value rather than traditional currency. This not only incentivises usage but also introduces customers to investing, helping to shift behaviour from consumption towards saving and wealth creation. The discussion also highlights the growing role of AI within the platform. From fraud detection and compliance to personalised recommendations and automated processes, AI is already embedded across multiple layers of the ecosystem. Looking ahead, the team is developing an AI-powered assistant designed to act as a single interface for the entire super app, enabling users to complete tasks such as payments, bookings, and customer support through a conversational experience. Another compelling aspect of the episode is the expansion of the super app into non-financial services, particularly health. By integrating telemedicine, digital medical records, insurance, and pharmacy services, the platform aims to simplify access to healthcare and provide a more holistic digital experience. This reflects a broader ambition to support users across all aspects of their daily lives, not just financial transactions. The conversation also touches on the operational complexity of building such an ecosystem. With multiple companies, partners, and services integrated into a single platform, maintaining consistency while allowing individual teams the freedom to innovate presents an ongoing challenge. However, this model also enables rapid scaling, with new services reaching hundreds of thousands of users in a matter of months. Finally, the episode explores the broader implications of super apps for the future of financial services. As digital platforms become more integrated and personalised, the role of banks may shift from standalone service providers to central hubs within larger ecosystems, delivering value far beyond traditional banking. For anyone interested in the future of fintech, super apps, and the role of AI in creating seamless digital experiences, this episode offers a compelling look at how banking is evolving in fast-growing markets.

April 21, 202631 min

EP 156: Demystifying Personalisation, Neurodiversity & Financial Inclusion with Coracle

In this week’s episode, Dave and Dharm are joined by James Tweed from Coracle for a fascinating conversation that sits at the intersection of education, technology, and financial services, and challenges how we think about inclusion in a digital world. Coracle is an EdTech company delivering secure, offline digital education to prisons across the UK, giving learners access to a wide range of content from basic literacy to vocational training. But what makes their work particularly compelling is how they are using AI and behavioural insights to personalise learning experiences for individuals who have often been excluded from traditional education systems. A key theme throughout the episode is neurodiversity, and the reality that many individuals, particularly within prison populations, have had negative or disrupted experiences with education. James explains how Coracle is rethinking learning by moving away from rigid, one-size-fits-all approaches and instead adapting content in real time based on how individuals engage, respond, and learn. This includes adjusting reading levels, formats, and delivery methods to suit each user better. The conversation also explores the power of digital environments to remove stigma and enable private, self-paced learning. In contrast to traditional classroom settings, learners can make mistakes, build confidence, and develop skills without fear of judgment, with profound implications not just for education but for any sector delivering complex information. This leads into a broader discussion on what the financial services industry can learn from these approaches. From inaccessible terms and conditions to a lack of personalised communication, the episode highlights how many financial products are still designed for a “default” user that doesn’t reflect the diversity of real customers. The potential for AI-driven personalisation, not just in products, but in how information is presented, is a major opportunity for banks and fintechs alike. Another important theme is financial inclusion and digital poverty. The discussion highlights how access to digital services is increasingly essential, yet still out of reach for some individuals. The episode explores how organisations, including banks, could play a more active role in supporting not just access, but understanding and engagement. Finally, the conversation touches on a broader strategic shift, moving away from designing for mass markets and instead solving problems for highly specific, underserved groups first, before scaling those solutions more widely. As James explains, solving for the most complex environments, such as prisons, can create models that are far more adaptable and impactful in mainstream contexts. For anyone interested in AI, education, financial inclusion, and the future of personalised digital experiences, this episode offers a fresh, thought-provoking perspective on how technology can be used to better serve individuals, not just systems.

April 1, 202637 min

EP 155: Demystifying Vibe Coding and AI Development with Sergio Gago

Hosts Dave and Dharmesh explore how AI-powered “vibe coding,” autonomous agents, and real-time software creation are reshaping the future of development with Sergio Gago, CTO of Cloudera. Sergio, a former leader at Moody’s and now CTO at Cloudera, is at the forefront of AI-driven data platforms. He introduces the concept of vibe coding, a new paradigm where developers (and increasingly non-developers) can create full applications simply by describing what they want. Rather than writing code line-by-line, users can now prompt AI systems to generate complete solutions, from architecture to deployment, in minutes. A central theme of the episode is the democratisation of software creation. What once required teams of engineers, significant funding, and months of development can now be achieved by individuals, even those with no formal coding experience. Sergio shares real-world examples, from rapid prototyping to fully functioning applications built in under an hour, highlighting how dramatically the barriers to entry have fallen. The conversation also explores how this shift is transforming engineering teams themselves. Rather than replacing developers entirely, AI is enabling a new model where engineers orchestrate fleets of intelligent agents, systems that can write, review, test, and refine code autonomously. This is leading to exponential gains in productivity, with teams becoming significantly more efficient while maintaining control over architecture, security, and governance. Dave and Dharmesh also tackle the risks. From “shadow AI” and security vulnerabilities to the challenges of maintaining enterprise-grade systems, the episode examines why governance, oversight, and structured workflows remain critical, particularly for banks and regulated industries. Looking ahead, the discussion moves beyond coding into the rise of autonomous agents, systems that don’t just build software, but actively monitor, adapt, and optimise business processes in real time. From marketing automation to financial decision-making, these agents could fundamentally change how organisations operate. The episode closes with a broader reflection on the role of humans in this new world. As software creation becomes commoditised, the value shifts from writing code to curating ideas, defining problems, and deciding what should be built in the first place. For anyone interested in AI, software development, fintech innovation, and the future of work, this is a conversation that offers a glimpse into what may be one of the most significant technological shifts of our time.

March 19, 202634 min

EP 154: AI’s Impact on Economies, Governments, and Society with Moody’s Ratings

In this week’s episode, Dave is joined by Marie Diron, Global Head of Sovereign Ratings at Moody’s Ratings, for a fascinating conversation about how artificial intelligence could transform economies at a national level, far beyond its impact on companies and individuals. Marie shares insights from Moody’s Ratings latest research examining how AI may affect three critical pillars of sovereign analysis: productivity, social stability, and public finances. While AI promises meaningful economic gains, with potential productivity increases of around 1.5% globally, the conversation highlights that these benefits will not be evenly distributed. A key theme throughout the episode is the concept of AI diffusion, the speed and breadth with which AI technologies spread across industries, professions, and countries. Unlike previous technological revolutions that impacted specific sectors, AI has the potential to reshape roles across the entire workforce, from clerical and administrative roles to professional services such as law, healthcare, and economics. The discussion also explores the social implications of this shift. While AI can augment human work and increase productivity, it can also automate certain tasks, particularly those involving repeatable administrative work. This raises important questions about workforce transitions, retraining, and how governments can support people whose jobs may evolve or disappear. Marie also highlights how different countries will experience AI very differently. Advanced economies may see larger productivity gains due to stronger infrastructure, education systems, and access to digital technologies, while emerging markets could face slower adoption but potentially larger long-term opportunities if they invest strategically in skills and connectivity. Another compelling angle is the policy challenge facing governments. From education reform and workforce retraining to tax policy and public sector efficiency, AI is set to influence how governments manage economies and public finances. The episode also explores how AI could help governments themselves, improving tax collection, policy analysis, and public service delivery. Finally, the conversation turns to the long-term perspective. Could AI become one of the defining economic transformations of our era, comparable to the industrial revolution? While the ultimate impact remains uncertain, Marie argues that governments that successfully balance short-term disruption with long-term opportunity will be best positioned to benefit. For anyone interested in the intersection of AI, economics, government policy, and the future of work, this episode offers a rare look at how technological change is being analysed not just at a company level, but at the level of entire nations.

March 2, 202638 min

EP 153: How AI could transform UK mortgages and community banking with Finova

Hosts Dave and Dharmesh explore how artificial intelligence, later-life lending, and turnkey core platforms are reshaping the future of UK financial services with Gareth Richardson, Finova's CEO. In this week’s episode of the Demystify Podcast, Dave and Dharmesh are joined by Gareth Richardson, CEO of Finova, for a wide-ranging and candid conversation about the forces quietly transforming UK core banking, and why AI may have a far bigger impact inside financial institutions than customers realise. Gareth, a former senior leader at Thought Machine and now head of one of the UK’s most embedded lending and mortgage technology providers, explains why community banking and building societies face a very different challenge from Tier 1 banks. While global institutions chase configurability and scale, smaller lenders need turnkey infrastructure, effectively a fully outsourced technology engine that allows them to compete without massive internal teams. A central theme of the episode is equity release and later-life lending, a market poised to grow rapidly as demographics shift and homeowners hold significant untapped property wealth. Gareth unpacks why this space has evolved beyond its historical reputation and how smarter underwriting, better data, and modern infrastructure are making it more sophisticated and accessible. The conversation then turns to AI, cutting through the hype. Rather than focusing purely on flashy chatbots, Gareth outlines where AI is already delivering real value: broker research automation, document verification, underwriting acceleration, and operational efficiency. In many cases, AI is removing friction and reducing cost long before it becomes customer-facing. The episode also tackles the bigger question: how far, and how fast, will regulation allow AI to reshape financial decision-making? While generative models are advancing rapidly, explainability, governance, and trust remain critical guardrails in regulated environments. For anyone interested in mortgages, community banking, AI-driven transformation, and what’s really changing behind the scenes in UK financial services, this is a conversation not to be missed.

February 18, 202628 min

EP 152: Demystifying how Commody is fractionalising the collector car market with Vilius Oškeliūnas

In this week’s episode of the Demystify Podcast, Dave and Dharmesh sit down with Vilius Oškeliūnas, wealth manager and co-founder of Commody, for a fascinating discussion about the intersection of traditional finance, blockchain infrastructure, and petrolhead passion. Vilius shares how Commody was born from a simple but powerful idea: connecting serious car collectors with enthusiasts who dream of owning iconic vehicles but cannot justify the full purchase price. By fractionalising collectable cars into affordable units, starting from just €25, Commody enables individuals to build their “dream garage” piece by piece. The conversation explores how the platform legally structures ownership using special purpose vehicles (SPVs), separating legal and economic rights while ensuring regulatory clarity. Each fractional unit is linked to an NFT on the Solana blockchain, providing transparent and efficient ownership tracking, not as a speculative crypto asset, but as a modern accounting and depository mechanism. A key theme of the episode is the emotional dimension of collecting. While investment potential plays a role, Vilius explains that for most collectors, the primary driver is passion, nostalgia, and community. Commody leans into that community aspect, creating a shared space for enthusiasts rather than simply replicating a closed-end fund model. The discussion also dives into the challenges of operating at the boundary between traditional finance and Web3. From navigating European regulation to addressing liquidity in secondary markets, Vilius outlines how Commody is building a marketplace model that differs from existing fractional platforms by allowing dynamic ownership transfers rather than fixed holding periods. Looking ahead, the group considers the broader implications of tokenisation, including whether real-world assets like cars could eventually sit alongside traditional investments in wealth portfolios. As tokenisation matures, the line between passion assets and financial instruments may become increasingly blurred. For anyone curious about real-world asset tokenisation, fractional ownership, and how blockchain can support tangible collectables beyond speculation, this episode offers a fresh and practical perspective.

February 4, 202644 min

EP 151: Demystifying why AI is forcing a rethink of wealth management with Alpheya

Hosts Dave and Dharmesh are joined by Roger Rouhana, co-founder and CEO of Alpheya, to explore how artificial intelligence is reshaping wealth and trading infrastructure. In this week’s episode of the Demystify Podcast, Dave and Dharmesh sit down with Roger Rouhana, co-founder and CEO of Alpheya, for a wide-ranging and thoughtful conversation about the transformation underway in wealth management as AI-driven technology accelerates. Roger shares how Alpheya was built to provide end-to-end wealth and trading infrastructure for financial institutions, supporting everything from client onboarding and portfolio construction to execution, reporting, and advisory workflows. Backed by major institutional investors, Alpheya operates at significant scale, touching millions of end clients through its partner banks and institutions. The discussion explores why traditional wealth platforms are struggling to keep pace with changing client expectations. As wealth management “retailises”, clients increasingly demand always-on digital experiences, real-time insights, and personalised guidance, expectations shaped by consumer technology rather than legacy financial systems. A central theme of the episode is the role of AI in closing the gap between growing demand for advice and the limited scalability of human relationship managers. Roger unpacks recent research showing a surprising willingness among investors to trust AI with advice, and even portfolio management, and explains why this shift is both inevitable and transformative. For anyone interested in the future of wealth management, the intersection of AI and financial advice, and how institutions can responsibly scale personalised investing, this is a conversation not to be missed.

January 27, 202637 min

EP 150: DEMYSTIFYING AI-NATIVE CORE BANKING WITH SLAVO VOJACEK & RICKY MARCON OF OPENCOREOS

This week Dave sits down with Slavo Vojacek and Ricky Marcon, co-founders of OpenCoreOS, for a frank conversation about what “core banking” needs to become in an AI-native world. Slavo (a distributed-systems engineer turned core-banking specialist) and Ricky (a product and business-builder with deep delivery experience) argue that the industry is at a new inflexion point: real-time payments, growing transaction volumes, and cloud fragility are exposing the limits of both legacy platforms and the so-called next-generation cores. They unpack why OpenCoreOS is deliberately opinionated about what a “core” should be. For them, it is primarily the ledgering and transactional engine (interest, postings, and reconciliation at scale), while other components, like customer master data and product tooling, increasingly sit outside the core. The discussion then moves into the hard engineering: what it means to build a platform designed to run across multiple clouds, aiming for zero downtime and zero data loss, and why retrofitting that kind of resilience into an existing architecture is far harder than it sounds. Finally, the episode connects the dots to “agentic banking” and why AI cannot simply be “sprinkled on top” of yesterday’s platforms. OpenCore OS is designed so that product and operational configuration can be expressed in natural language, abstracting complexity while staying deterministic where it matters. Dharmesh also shares why he joined the company’s board, and why this approach feels fundamentally different from bolt-on AI features. If you care about the future of banking infrastructure, resilience, and what AI-native actually means (beyond the marketing), this one is for you.