Fintech One-On-One

Peter Renton
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Fintech is eating the world. Join Peter Renton, Co-Founder of Fintech Nexus and now an independent fintech media and events consultant, every week as he interviews the fintech leaders who are leading the transformation of financial services. If you want to understand what the future will look like for lending, payments, digital banking and more, tune in to Fintech One-On-One.

  1. Why Full Autonomy Beats Co-Pilots for AI in Banking with Dimitri Masin, CEO of Gradient Labs

    -19 h

    Why Full Autonomy Beats Co-Pilots for AI in Banking with Dimitri Masin, CEO of Gradient Labs

    Dimitri Masin was one of the first 30 employees at Monzo, where he led AI and data science as the bank grew from 30 to 4,000 people. That vantage point showed him where the real work in financial services still lives: the manual, repetitive customer operations running behind the app. In 2023, he co-founded Gradient Labs to automate that work with fully autonomous AI agents, and the company now serves more than 30 fintech and financial services customers. In this conversation, we get into why co-pilots can quietly degrade quality and compliance, why Dimitri believes full autonomy is the safer path, and the story behind what may be the largest known AI agent deployment in banking. What We Covered From Google to one of the first 30 people at MonzoThe second half of the fintech transformationWhy customer operations never got reinventedWhat GPT-4 unlocked at the start of 2023Putting banks on autopilotSitting as an orchestration layer over existing systemsThe 15% customer experience uplift over human teamsWhy cost savings are more nuanced than people expectHow bank implementations and bake-offs actually workWhy co-pilots can degrade quality and complianceThe case for full autonomy over a human in the loopBenchmarking agents against the human team, not perfectionRedeploying staff instead of cutting headcountThe largest known AI agent deployment in bankingWhy banks aren't seeing productivity gains yetThe build-it-ourselves mindset shiftA five to ten year view of the transformationHow the US bake-off culture plays to a specialist's advantageKey Takeaways The overlooked opportunity in banking is not the app experience but the manual operational work behind it: customer support, AML, fraud, KYC, onboarding, and screening.Co-pilots can backfire. When suggestions are right 90% of the time, people start accepting them blindly, which degrades quality and compliance in the other 10%.No agent is correct 100% of the time, and that is the wrong bar. The right question is whether the system beats the human team it replaces, which becomes the benchmark.Automation has not meant layoffs at any of Gradient Labs' customers. Teams get redeployed to complex, higher-empathy work like vulnerability and financial difficulty cases.The bottleneck on transformation is not the technology, which has existed since GPT-4, but how slowly organizations diffuse and adopt it. Dimitri's horizon is five to ten years.About Dimitri Masin Dimitri Masin is the CEO and co-founder of Gradient Labs, a London-based startup building autonomous AI agents that run customer operations for regulated financial services companies. Before founding the company in 2023 with two former Monzo colleagues, he was among the first 30 employees at Monzo, where he led AI, data science, financial crime, and fraud as the bank scaled to roughly 4,000 people. He started his career at Google. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    32 min
  2. How Navan Coded Company Policy Onto the Card to Kill the Expense Report with Yuval Refua

    25 juin

    How Navan Coded Company Policy Onto the Card to Kill the Expense Report with Yuval Refua

    Yuval Refua is the Chief Product Officer at Navan, the global travel and expense platform he joined seven years ago when it was still just a travel booking service. Since then, he has built out its payments and expense products from the ground up, turning the company policy that used to live in a PDF into code that runs on the card itself. This conversation matters because T&E is one of the most universally disliked workflows in business, and Navan is rethinking it from scratch just as AI and agentic commerce start to reshape how companies spend. What We Covered Falling in love with credit cards at American ExpressWhy Navan started as a travel-only booking serviceThe reconciliation pain that led to launching a cardCoding company policy directly onto the cardReal-time approval the moment you swipeWhy travel-first beats procurement-firstContext as the key to managing distributed spendGoing global with VAT, GST, per diems and mileageThe e-invoicing wave hitting more countriesThe GTA model for revealing complexity graduallyThe Expense Admin Companion and recommended actionsFrom single approvals to bulk to full automationThe Visa partnership and the Connect productWaymo for travelers, Formula One for financeKey Takeaways The expense report exists to answer a question that company policy already settled. Coding that policy onto the card removes the work instead of automating it.Starting from travel gives Navan context (where the employee is, why they are there, who they are visiting) that procurement-first tools lack, which makes per-employee limits far smarter.Going global is less about features and more about mastering country-by-country tax, e-invoicing, per diem and mileage rules.The path to full automation runs through trust. Navan moves finance teams from a single recommended action, to bulk approvals, to hands-off automation, which is also how it intends to handle agentic spend.About Yuval Refua Yuval Refua is Chief Product Officer at Navan. He started two companies of his own early in his career before moving into fintech and product management at Thomson Reuters, then American Express, where he developed a deep love for credit cards and the rails behind them. He joined Navan around seven years ago and has built out its payments and expense products from the ground up. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    33 min
  3. Fintech Revealed: Deep Dive on Vertical Fintech with Increase and Tekion

    18 juin

    Fintech Revealed: Deep Dive on Vertical Fintech with Increase and Tekion

    This episode is part of our occasional Fintech Revealed series, where we do an extended deep dive into one topic with two industry experts. The topic today is vertical fintech, and I am joined by Matt Hennessy, the Business Lead at Increase, the modern banking infrastructure company, and Jamie Fox, the General Manager of Fintech at Tekion, the AI-native cloud platform that runs the entire business for auto dealerships across the US, Canada, and the UK.  Tekion built its embedded banking on Increase, so the two of them give us both sides of the same story: the platform that lives inside the dealership and the infrastructure that connects it to the banking system. We get into the surprisingly large money flows inside a single dealership, why paper checks still beat instant rails for many operators, how compliance and trust get engineered into the product, and just how big this embedded banking opportunity gets. What We Covered What vertical fintech is and why it matters nowThe money flows hiding inside a single car dealershipWhy outbound dealer spend is roughly 2x inboundOperating account vs. ledgering account adoption pathsDealer-to-dealer payments as a ledger change with zero rail feesInstant rails: RTP, FedNow, and Request for PaymentThe persistence of paper checks and the cost to operationalize themDirect Fed access vs. layers of middlewareCompliance as code, codified into the productBuilding trust in building blocksWhere agentic payments and "know your agent" fit inHow large the embedded banking opportunity ultimately getsKey Takeaways Owning the financial system of record inside core operating software is the defensible position in an age when light "systems of engagement" can be replicated with AI.Outbound payments, not inbound, are the bigger prize: US auto dealerships pushed out roughly $1.3 trillion in 2024, about 2x what they took in.The barrier to instant rails is education, not technology. Many dealers do not know RTP or FedNow exists, or that they can pay a vendor any day of the week.Trust cannot be launched all at once. Holding a dealer's operating cash is a different level of trust than processing a payment they can fall back on, and it is earned in building blocks.For the founding story and more about Increase, check out my conversation with CEO and Founder Darragh Buckley from last year. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    53 min
  4. How Edge Focus Is Bringing Quant Trading Precision to Consumer Lending With CEO Elliott Lorenz

    11 juin

    How Edge Focus Is Bringing Quant Trading Precision to Consumer Lending With CEO Elliott Lorenz

    Elliott Lorenz took an unusual path into consumer lending, moving from applied mathematics and high-frequency trading into the business of pricing credit risk. Today he is the CEO and co-founder of Edge Focus, a technology-enabled private credit firm that sits between consumer lending platforms and the institutional investors who want to deploy capital into the asset class. In this episode, Elliott explains how the firm's credit engine works, why speed is its biggest edge, and how he reads the recent wave of criticism aimed at private credit. What We Covered From engineering and applied math to high-frequency tradingWhat Michael Lewis's Flash Boys got right and wrong about HFTSpotting an edge in LendingClub's public loan dataTurning a data-science hobby into Edge FocusThe Origin credit engine and how it makes decisionsExpanding a lender's credit box with an orthogonal view of creditModeling with a single month of payment historyUpdating a credit model within a dayThe Lens portfolio analytics toolWhere alpha comes from beyond the underwriting modelFraud and asset liability mismatch in private creditBuilding the EDGEX ABS shelf and partnering with FortressProving ML models are free from biasWhere consumer lending goes over the next few yearsKey Takeaways Edge Focus competes less on having a single better model and more on combining technology, capital, and platform relationships in one package, which Elliott calls the firm's "big unlock."The firm can incorporate even a single month of payment history into its models and push an update within a day, letting it react to macro shifts faster than firms that wait 12 to 24 months for data.Most of the recent private credit criticism falls into two buckets, fraud and asset liability mismatch, and Elliott sees the fraud cases as largely idiosyncratic and the redemption problems as a function of investors misjudging illiquid assets.Because Edge Focus invests its own capital alongside partners rather than acting as a pure technology vendor, its incentives are tied directly to loan performance.About Elliott Lorenz Elliott Lorenz is the CEO and co-founder of Edge Focus, a technology-enabled private credit firm focused on consumer lending. He trained as an engineer and applied mathematician, earned a master's in finance from Princeton, and spent several years in high-frequency trading before bringing those modeling techniques into consumer credit in 2013. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    31 min
  5. What's Finally Changing to Help Catch More Financial Crime With Andrew Davies of ComplyAdvantage

    4 juin

    What's Finally Changing to Help Catch More Financial Crime With Andrew Davies of ComplyAdvantage

    Andrew Davies has spent more than three decades fighting financial crime, starting with sanctions screening tools for central banks in the mid-1990s and arriving at ComplyAdvantage after nearly 16 years at Fiserv. He sits at the center of one of the most consequential questions in financial services: can we finally move the needle on financial crime detection after decades of catching less than 2% of what's laundered globally?  ComplyAdvantage serves more than 3,000 enterprises across 75 countries with its AI-native Mesh platform. If you want to learn more about the founding story and their early days, check out my podcast with founder Charlie Delingpole from 2019. What We Covered Why the industry has historically caught less than 2% of money laundered globallyHow the money laundering economy ranks as the world's third largest at an estimated $5.6 trillionThe evolution from sanctions screening to FRAML to multi-dimensional financial crime riskThe Mesh platform and what a unified financial crime system means for compliance teamsCassie, the agentic AI analyst automating customer screening investigationsHow 90% of compliance work was historically spent chasing false positivesReal-time payments compliance and the risk-based approach to payment screeningThe SEPA Instant Payments challenge and batch screening against the EU journalStablecoins, unhosted wallets, and the compliance infrastructure gapFATF's finding that stablecoins represent 84% of illicit crypto transaction volumeData sharing consortiums as the next inflection point in fighting financial crimeThe network problem at the heart of money laundering and terrorist financingKey Takeaways The money laundering economy is estimated at $5.6 trillion, making it the third largest in the world, above Germany, yet we detect less than 2%. Agentic AI tools like Cassie are designed to eliminate false positives so human analysts only work cases that genuinely warrant their expertise. Data sharing consortiums, where organizations contribute to shared detection models, represent the most promising path to materially improving financial crime outcomes. Stablecoins create real compliance risk at the unhosted wallet layer, the Bank of England has floated a ban, while the US is unlikely to go that route, leaving a gap. About Andrew Davies Andrew Davies is the Global Head of Financial Crime Compliance Strategy at ComplyAdvantage. He began his career in the mid-1990s building sanctions screening tools for central banks and large financial institutions, and spent nearly 16 years at Fiserv in their financial crime division before joining ComplyAdvantage. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    34 min
  6. Why Embedded Payments is a Retention Strategy for Vertical SaaS with Joshua Silver, CEO of Rainforest

    28 mai

    Why Embedded Payments is a Retention Strategy for Vertical SaaS with Joshua Silver, CEO of Rainforest

    Joshua Silver has spent two decades in embedded payments. Before co-founding Rainforest, he built Patient Co, a healthcare payments business scaled to billions in processing volume and tens of millions of patients, then spent several years consulting with software founders on building their payments programs. Rainforest is payments as a service, purpose-built for vertical SaaS — and in this conversation Joshua makes a compelling case that embedded payments is not just a revenue opportunity but a competitive moat. What We Covered Why vertical SaaS companies are still leaving money on the table with embedded paymentsThe gap in the market Rainforest was built to fillHow payfac as a service works and who it is designed forWhy the number of registered payfacs is shrinking, not growingThe $5 billion volume threshold for when becoming a full payfac makes economic senseHow Rainforest differentiates from Stripe and Adyen for vertical SaaS platformsVertical-specific risk models versus general-purpose toolsRainforest's real-time ledger and what it unlocks for complex payment structuresAdding PayPal and Venmo for untapped vertical SaaS marketsExpanding into Canada and building the playbook for international growthHow AI is being used across the business and the rising threat of AI-driven fraudWhat success looks like for Rainforest in the next five yearsKey Takeaways Embedded payments builds a moat. Joshua's closing point is the sharpest: once merchants are running their money through your software platform, competitors face a much harder job dislodging you. Payments isn't just a revenue line — it's a retention strategy. Vertical-specific risk models matter enormously. Stripe and Adyen have to serve everyone, so their risk tooling is built for the lowest common denominator. Rainforest has built models tuned to individual verticals — lawn care looks different from HVAC, which looks different from nonprofit donations — and it takes the fraud liability rather than passing it to the platform. The $5 billion payfac threshold is the new reality. A decade ago the rule of thumb was around $1 billion in card volume. Regulatory and compliance burdens have risen so sharply that Joshua now puts the threshold at $5 billion with line of sight to $10 billion before it makes economic sense to go full payfac. A real-time ledger is a competitive differentiator. Most legacy processors are batch-based, settled overnight on mainframes. Rainforest's ledger is real-time, enabling split payments, franchise fee hierarchies, and complex billing structures that batch systems simply cannot support. About Joshua Silver Joshua Silver is co-founder and CEO of Rainforest, a payments-as-a-service company purpose-built for vertical SaaS platforms. Before Rainforest, he co-founded Patient Co, scaling it to billions in healthcare payments volume before a sale, and subsequently consulted with software founders on building their payments businesses. He has been working in embedded payments for twenty years. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    30 min
  7. How Figure Is Cutting Mortgage Costs from $12,000 to $1,000, with CEO Michael Tannenbaum

    21 mai

    How Figure Is Cutting Mortgage Costs from $12,000 to $1,000, with CEO Michael Tannenbaum

    Michael Tannenbaum became CEO of Figure in early 2024, taking over from founder Mike Cagney and leading the company through its September 2025 IPO. In this conversation, we get into the mechanics of how Figure's blockchain-based platform competes with Fannie Mae and Freddie Mac, what it actually takes to cut mortgage origination costs from $12,000 to $1,000, and where the real opportunities in tokenization lie. What We Covered Taking over as CEO from Mike Cagney and the Big Rocks frameworkHow Figure describes itself: building the future of capital markets on blockchainThe B2B partner network and how it compares to Fannie Mae's functionCutting mortgage origination costs from $12,000 to $1,000 and 45 days to fiveWhy Figure competes directly with Fannie Mae and Freddie MacHow blockchain eliminates third-party diligence and prevents loan double-pledgingThe Figure Connect marketplace and its rapid growth since June 2024Where tokenization adds real value — and where it doesn'tYLDS: Figure's SEC-registered yield-bearing stablecoin and its role in capital marketsThe timing and mechanics of Figure's September 2025 IPOBuilding a rate-agnostic business across different macro environmentsThree growth areas: consumer mortgages, Democratized Prime, and on-chain equitiesKey Takeaways Figure's origination platform and its capital market are the same system — you can't separate them, and that's the competitive moat. Tokenization only creates liquidity when the underlying assets are standardized and fungible; putting unique assets on a blockchain doesn't conjure buyers. The recent fraud cases involving double-pledged loans (Tricolor, First Brands, MFS) have turned blockchain's immutability from a skeptic's objection into a selling point. And Figure is running at what Michael calls the rule of 150 — 100% year-over-year growth at 50% margins — in one of the most rate-sensitive and entrenched markets on earth. About Michael Tannenbaum Michael Tannenbaum is the CEO of Figure, a blockchain-based capital markets company he took public on Nasdaq in September 2025. Before Figure, he was an early executive at both SoFi (Chief Revenue Officer) and Brex (COO), and sat on the Brex board when it was acquired by Capital One. He began his career in investment banking at J.P. Morgan. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    35 min
  8. Fixing the Broken Appraisal Model in Asset-Backed Lending With Thomas Galbraith, CEO of Barkr

    14 mai

    Fixing the Broken Appraisal Model in Asset-Backed Lending With Thomas Galbraith, CEO of Barkr

    Thomas Galbraith is the CEO and co-founder of Barkr, an AI-driven valuation platform for asset-backed lending. He spent his early career in high net worth insurance at AIG and AXA, where he grew comfortable with the challenge of pricing hard-to-value assets. That thread ran through every role he held until it crystallized into a company built around a simple but structural problem: in asset-backed lending, appraisers give you a price and then spend the rest of their report telling you they're not responsible for it. Barkr is built to change that. What We Covered Thomas's background in high net worth insurance at AIG and AXAHow a common thread across luxury assets led to founding BarkrStarting with fine art and private jets before expanding to other asset classesThe two-part failure in traditional appraisals: accuracy and absence of liabilityHow Barkr pairs an AI valuation with a contractual performance warrantyThe progression from Lloyd's of London to AXA to Munich Re$2 billion in covered valuations and what patience actually means in this businessGPUs as a surprisingly durable and long-lived collateral asset classHow Barkr finds clients, from pavement pounding to Nvidia referralsMonthly mark-to-market on hard assets throughout a loan's lifeBuilding a domain-specific LLM with human review in the loopPlans to build an in-house insurance vehicle to unlock capacityKey Takeaways Traditional appraisal firms hedge their liability by design. Page one is the price; the rest of the report is the disclaimer. Barkr's contractual warranty flips that model by standing behind the number. Barkr's data on GPU durability challenges the conventional narrative. Chips five and seven years old are still generating revenue and still have meaningful resale value, which changes the risk calculus for lenders considering AI infrastructure as collateral. Augmenting, not replacing, is the right positioning for valuation technology. Barkr actively encourages clients to keep using their existing appraisers and treats third-party appraisals as additional data inputs that improve their own accuracy. Building a reinsurance relationship takes years. Barkr worked through Lloyd's, then AXA, before landing Munich Re, and each step required demonstrating proof of concept at the prior level first. About Thomas Galbraith Thomas Galbraith is the CEO and co-founder of Barkr. He began his career in high net worth insurance at AIG and AXA before founding Barkr to bring accountability and AI-driven accuracy to asset valuation in the lending market. Barkr has covered approximately $2 billion in valuations across art, private jets, vehicles, and GPUs. Connect with Fintech One-on-One: Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

    28 min
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À propos

Fintech is eating the world. Join Peter Renton, Co-Founder of Fintech Nexus and now an independent fintech media and events consultant, every week as he interviews the fintech leaders who are leading the transformation of financial services. If you want to understand what the future will look like for lending, payments, digital banking and more, tune in to Fintech One-On-One.

Informations

  • Création
    Peter Renton
  • Années d’activité
    2013 - 2026
  • Épisodes
    639
  • Classification
    Tous publics
  • Copyright
    © 2026 © 2025 Renton & Co. LLC
  • Site web de l’émission
    Fintech One-On-One

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