Fintech Conversations with Fexingo: Banking, Payments, and Financial Software Companies

Episode 74 of Fintech Conversations explores how open banking is reshaping small business lending. Lucas and Luna dive into a case study: Kabbage (now part of American Express) and how it used real-time transaction data from business bank accounts to underwrite loans in minutes, not weeks. They discuss the shift from traditional credit scores to cash-flow-based lending, the role of APIs in aggregating financial data, and how regulators in the UK and EU are pushing open banking adoption. Specific numbers: Kabbage's automated platform approved loans up to $250,000, and the UK's Open Banking Implementation Entity reports over 7 million users as of early 2026. The hosts also touch on the potential for open banking to reduce the SME funding gap, which the World Bank estimates at over $5 trillion globally. No fluff, just a detailed look at one of the most practical applications of open banking in fintech today.

#Fintech #OpenBanking #SmallBusinessLending #Kabbage #AmericanExpress #CashFlowLending #APIs #SME #FundingGap #UKOpenBanking #EUPSD2 #RealTimeData #BusinessLoans #Underwriting #FintechConversations #BusinessAndTechnology #FexingoBusiness #BusinessPodcast

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Episode 73 of Fintech Conversations with Fexingo dives into stored-value wallets as an embedded loyalty tool. Lucas and Luna unpack how brands like Starbucks and Walmart have turned prepaid balances into sticky ecosystems, and explore a surprising case: a regional gas station chain that boosted repeat visits 40% by launching its own stored-value card tied to discounts and gamified rewards. They contrast this with traditional points programs, discuss the economics of float income and breakage, and look ahead to regulatory shifts around unclaimed property. A practical look at why more fintechs and merchants are building closed-loop wallets — and what happens when they scale.

#StoredValue #EmbeddedLoyalty #Fintech #PrepaidCards #WalletEconomics #Starbucks #Walmart #Breakage #FloatIncome #LoyaltyPrograms #Gamification #GasStationCaseStudy #Business #Technology #Payments #CustomerRetention #FexingoBusiness #BusinessPodcast

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Lucas and Luna explore how fintech companies are applying AI to automate invoice factoring, a centuries-old financing method. They focus on the case of Fundbox, which uses machine learning to underwrite and advance funds on outstanding invoices in minutes, not days. The hosts break down the technology—how AI models assess invoice quality, client creditworthiness, and fraud signals in real time—and discuss the impact on small businesses. They also touch on the economics: lower fees compared to traditional factoring, and how the model reduces default risk. A concrete look at how AI is unlocking liquidity for SMBs.

#Fintech #InvoiceFactoring #ArtificialIntelligence #Fundbox #SmallBusinessLending #CashFlow #MachineLearning #B2BFinance #Underwriting #FraudDetection #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Payments #Liquidity #SMB #InvoiceFinancing #AI

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Episode 71 of Fintech Conversations with Fexingo explores the rise of buy-now-pay-later in business-to-business purchasing. Lucas and Luna break down how startups like Billie and Hokodo are offering net-30 and net-60 payment terms at checkout for small businesses, using AI underwriting to approve merchants in seconds. They compare the model to traditional trade credit and discuss why BNPL for B2B is growing faster than consumer BNPL. Specific numbers include the $680 billion global B2B BNPL market opportunity projected by 2028, and how Billie's default rates have stayed below 1.5 percent. The hosts also touch on how this trend could reshape procurement for SMBs, especially in Europe and the US.

#BNPL #B2B #Fintech #Procurement #BuyNowPayLater #TradeCredit #Billie #Hokodo #SMB #Underwriting #AI #Payments #Business #Technology #FexingoBusiness #BusinessPodcast #FintechConversations #EP71

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In this episode of Fintech Conversations with Fexingo, Lucas and Luna explore how fintechs are using AI to make real-time lending decisions for small businesses. They dive into the case of Kabbage (now part of American Express), which uses machine learning to approve loans in minutes based on live data like sales, shipping, and accounting feeds. Lucas explains how traditional banks rely on outdated credit scores and manual reviews, while fintechs leverage transaction data and AI models to assess risk in near real-time. Luna questions whether this speed sacrifices accuracy, especially during economic downturns. They discuss the shift from statement-based underwriting to data-streaming models, the role of open banking APIs, and how this technology is expanding access to capital for underserved businesses. The hosts also touch on regulatory challenges and the potential for AI to introduce bias. The episode provides a concrete look at how AI is reshaping small business lending in 2026.

#Fintech #AI #Lending #SmallBusiness #Kabbage #AmericanExpress #MachineLearning #RealTimeLending #Underwriting #OpenBanking #API #CreditRisk #BusinessLending #FinancialTechnology #DataDriven #Podcast #FexingoBusiness #BusinessPodcast

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In this episode of Fintech Conversations, Lucas and Luna explore how fintech companies are using artificial intelligence to predict when a customer is about to cancel their credit card — often before the customer knows it themselves. They break down the specific data signals models track: declining spend velocity, shifts in merchant categories, and changes in payment timing. The hosts walk through a real example from a major issuer that reduced churn by 22 percent using a machine learning model that triggers personalized retention offers like fee waivers or bonus points. They also discuss the ethical tightrope: when does predictive retention cross into manipulation? And what happens when the model is wrong? If you work in product, growth, or data science at a fintech, this episode gives you a concrete framework for building a churn prediction system that actually moves the needle.

#Fintech #AI #CreditCards #ChurnPrediction #MachineLearning #Retention #Loyalty #Personalization #DataScience #CustomerBehavior #FintechAI #PredictiveAnalytics #CardRewards #CustomerEngagement #Business #Technology #FexingoBusiness #BusinessPodcast

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In this episode of Fintech Conversations with Fexingo, Lucas and Luna dive into how fintech apps are using artificial intelligence to create hyper-personalized savings goals for users. They explore a case study from a digital banking app that analyzes spending patterns, income fluctuations, and life events to automatically suggest savings targets and timelines. Lucas breaks down the technology behind the scenes—machine learning models that cluster users by behavioral traits and adjust goals in real time—while Luna questions the privacy trade-offs and the risk of nudging users toward over-saving. The hosts discuss real-world adoption rates, citing data from a 2025 survey that found users with AI-driven savings goals saved 40% more than those using static goals. They also touch on how banks like DBS and Chime are experimenting with this feature. The episode concludes with a reflection on whether AI can truly understand human financial psychology without crossing ethical lines.

#Fintech #ArtificialIntelligence #SavingsGoals #PersonalFinance #HyperPersonalization #MachineLearning #DigitalBanking #BehavioralFinance #DBS #Chime #FinancialWellness #Business #Technology #FintechConversations #FexingoBusiness #BusinessPodcast #Podcast #AI

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Fake reviews cost consumers an estimated $152 billion in wasted spending globally each year, and a new wave of fintech startups is fighting back with AI tools that analyze language patterns, posting behavior, and social graph anomalies. In this episode, Lucas and Luna explore how companies like Yelp, Amazon, and Fakespot use natural language processing and network analysis to flag suspicious endorsements before they influence purchasing decisions. They discuss the limits of automated detection, the rise of paid review rings, and what the FTC's updated guidelines on testimonials mean for both fintech platforms and small businesses. Plus, a brief moment about what keeps this podcast ad-free.

#FakeReviews #SocialProof #AI #Fintech #FraudDetection #NLP #Yelp #Amazon #Fakespot #FTC #ConsumerProtection #Business #Technology #FexingoBusiness #BusinessPodcast #ReviewFraud #MachineLearning #OnlineTrust

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Episode 66 of Fintech Conversations with Fexingo explores a practical, business-focused use of cryptocurrency: cross-border payroll. Lucas and Luna break down how companies like Deel and Bitwage enable employers to pay remote workers in USDC or Bitcoin, avoiding the 3-5 day wait times and 2-4% fees of traditional wire transfers. They examine the mechanics: stablecoin conversion on-chain, regulatory hurdles in different jurisdictions, and tax reporting complexities. A real-world case study from a 50-person startup shows how switching to crypto payroll saved $12,000 annually and cut remittance time to under 10 minutes. The hosts also discuss why this trend is accelerating in 2026, particularly in Latin America and Southeast Asia, where local currency volatility makes crypto an attractive alternative. They end with a forward look at how payroll providers are integrating with decentralized finance protocols for instant settlement and yield-bearing payroll accounts.

#Fintech #Business #Technology #CrossBorderPayroll #CryptoPayroll #Stablecoins #USDC #Bitcoin #Deel #Bitwage #InternationalPayments #RemoteWork #DecentralizedFinance #PayrollTech #Compliance #FexingoBusiness #BusinessPodcast #EconomicInclusion

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Episode 65 of Fintech Conversations with Fexingo explores how fintech companies are leveraging real-time bill payment systems to help small businesses and consumers manage cash flow. Lucas and Luna discuss the case of a startup called Float, which uses open banking to offer instant bill scheduling and payment confirmation. They dive into how this technology reduces late fees, improves credit scores, and gives users real-time visibility into their finances. The episode also touches on the broader trend of real-time payment rails like RTP and FedNow, and how fintechs are building products on top of them. Lucas shares data on the 40% reduction in late payments among Float users, and Luna questions the challenges of adoption and competition from banks. The conversation ends with a look at the future of programmable payments. This episode is part of the Fexingo Business podcast network, hosted by Lucas and Luna.

#Fintech #RealTimePayments #CashFlowManagement #OpenBanking #BillPay #SmallBusiness #Float #FedNow #RTP #PaymentRails #FinancialTechnology #Business #Technology #Automation #Credit #Liquidity #FexingoBusiness #BusinessPodcast

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