Tearsheet Podcast: Exploring Financial Services Together

Tearsheet Studios
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Tearsheet is news, opinion, and analysis on the business of finance. Candid conversations with senior executives, fintech entrepreneurs, investors, industry experts -- all weigh in on the trends impacting the industry and the disruptive impact technology is having on the business. Where social media, technology and finance intersect.

  1. How to build a partnership that can survive market disruptions ft. Cross River and Best Egg

    HÁ 11 H

    How to build a partnership that can survive market disruptions ft. Cross River and Best Egg

    Some partnerships in financial services begin with a handshake and end with a contract dispute. Others start with a Sunday morning LinkedIn message and evolve into something that transcends the typical vendor-client relationship. The collaboration between Cross River Bank and Best Egg falls firmly into the latter category. "When we first got into the business, we met several new companies, and some of them were like three guys in a garage," recalls Adam Goller, EVP and Head of Fintech Banking at Cross River.  An impromptu conversation in 2013 between Best Egg's founder and Cross River's CEO would eventually grow into a partnership that has facilitated nearly $35 billion in loans and 2.5 million customers – reshaping the lives of people and communities who were previously underserved by traditional FIS and had limited access to credit. What began as basic loan origination has evolved into sophisticated closed-loop capital market solutions, including the development of Best Egg's "BEAST" securitization platform, which uses Cross River’s CRB Securities to package assets for sale to institutional investors. The progression reflects Cross River’s willingness and ability to help fintechs climb the rungs of product expansion as they grow: "We have so many use cases where a partner came to us for lending, and that ultimately expanded to a deposit product, a payment service, and a card product," Goller notes. Although partners that offer point solutions can help fintechs get started, they don’t set them up for the future. The Cross River - Best Egg partnership shows how the right BaaS and bank partner helps fintechs move beyond the start up mindset with more sophisticated financial support as they mature.  Listen to this conversation to learn about the blueprint fintechs should use to identify the right banking partners at the start and how Cross River can help fintechs look beyond isolated business cases and build long term product road maps, with the support of a large financial institution and the agility of a fintech.

    36min
  2. How CFOs can regain strategic control in times of economic volatility ft. FIS’ Chrissy Wagner and Seamus Smith

    HÁ 3 DIAS

    How CFOs can regain strategic control in times of economic volatility ft. FIS’ Chrissy Wagner and Seamus Smith

    CFOs are abandoning quarterly planning cycles for week-by-week assessments as trade tensions, tariff uncertainty, and supplier volatility force a new short-term reality onto financial leadership. Seamus Smith, EVP and Group President of Automated Finance at FIS, and Chrissy Wagner, SVP of GTM at FIS, break down how finance leaders can balance urgent risk management with strategic growth positioning through data quality, automation, and AI. Smith and Wagner reveal that cybersecurity tops the list of CFO concerns, but inefficient processes and lack of visibility into money flows are the real operational killers, particularly as organizations grow through M&A. They explain how FIS helped clients navigate recent tariff disruptions through better data visibility, why paper checks remain one of the biggest fraud vectors in modern finance, how supply chain finance is underutilized in the US compared to Europe, and why AI is already delivering $3.70 in returns for every dollar invested in credit underwriting and collections.

    27min
  3. Banks or Pipes: Where financial institutions go when agents take over

    HÁ 3 DIAS

    Banks or Pipes: Where financial institutions go when agents take over

    Welcome to a special 4dFi podcast exploring the latest trends and technologies reshaping finance. I'm Zack Miller, Tearsheet's Editor in Chief. Today, we're unpacking the rise of AI agents and their potential to transform how consumers interact with financial services. I'm joined by my partners Russell Weiss, an AI expert and startup builder, and Josh Liggett, a seasoned fintech investor. Together, we'll bring a multidimensional view to this complex space. We'll dive into real-world examples like Capital One's Chat Concierge, which has driven a 55% boost in customer engagement by automating key tasks across thousands of auto dealer sites. Looking ahead, we'll consider the implications for traditional banks. Will they invest billions in proprietary AI models, or cede ground to big tech and infrastructure players increasingly embedding financial services? We don’t have all the answers but want to open up with good questions and thinking about where things are headed. We'll also explore how the evolution of AI agents could intersect with web3, crypto, and asset tokenization to enable digital transactions. Russell and Josh will weigh in on which players are poised to thrive in this new era of AI-powered finance. There's a lot to cover, but one thing is clear: AI is no longer a far-off possibility for banks. It's a present-day reality redefining what's possible. Stay tuned for a thought-provoking discussion of the opportunities and challenges ahead.

    30min
  4. AI agents in production: Nvidia's Kevin Levitt on infrastructure for live banking systems

    HÁ 5 DIAS

    AI agents in production: Nvidia's Kevin Levitt on infrastructure for live banking systems

    Welcome to the Tearsheet Podcast, where we explore financial services together with an eye on technology, innovation, emerging models, and changing expectations. I'm Tearsheet's editor in chief, Zack Miller. We've been covering AI in financial services for a while now—chatbots, generative AI, fraud detection models. But something fundamental is shifting. We're moving beyond AI as a tool that assists humans to AI as an actor that takes action on our behalf. Agentic AI is no longer a research project. It's live. Capital One has AI agents helping consumers buy cars. Visa is letting AI agents spend your money. RBC has agents executing trades, learning and adapting in real-time to market conditions. It's already here. The question is: what does it take to make this work at scale? What infrastructure do you need when an AI agent is handling real financial transactions at 2 AM? How do you architect for reliability when there's no human in the loop? My guest today is Kevin Levitt, who leads global business development for financial services at Nvidia. Before Nvidia, Kevin spent years inside fintechs like Credit Karma and Roostify. At Nvidia, he's working with firms like Capital One, Visa, and RBC as they deploy agentic AI in production—not pilot programs, actual live systems processing real transactions. We're digging into the case studies, the computational demands of multi-agentic systems, the security challenges when agents control money, and what financial institutions need to be thinking about now. Nvidia's Kevin Levitt is my guest today on the podcast.

    27min
  5. FIS's McWilliams on SMBs, data sharing, and the strategy that wins in a competitive environment

    7 DE NOV.

    FIS's McWilliams on SMBs, data sharing, and the strategy that wins in a competitive environment

    Banks dramatically underestimate how their customers share financial data, and most of it happens through insecure screen scraping that creates fraud vulnerabilities and slows performance. Shane McWilliams, Head of Retail Digital Banking at FIS, breaks down the three critical challenges separating thriving institutions from those being left behind: serving small and medium businesses as a central financial hub, enabling secure data sharing through APIs, and moving beyond product-centric thinking to build sticky customer relationships. McWilliams reveals that when he asks bank executives to guess what percentage of their customers are sharing data with third parties, "they're not even close" to reality. He explains how modern SMBs expect their banks to integrate everything from cash flow monitoring to accounting systems, why personalization needs to go beyond UX optimization, and how banks that orient around customer needs rather than products will win in today's competitive environment.

    20min
  6. How Wix built payments, checking, and capital for 293 million users

    5 DE NOV.

    How Wix built payments, checking, and capital for 293 million users

    Although every company is becoming a fintech now, Wix didn’t set out to do so – the firm’s entry into financial services started from observing what millions of small business owners actually needed when building their online presence. For Amit Sagiv and Volodymyr Tsukur, co-heads of payments at Wix, the path to serving these SMB customers well was paved through financial products: Wix had to take the payment infrastructure it had built for itself and transform it into tools that could help merchants manage their businesses. The foundation was already there. Wix had developed sophisticated billing systems to support its freemium model, accumulating deep expertise in payment routing, risk management, and global processing. "We built tremendous payment capabilities," Sagiv explained. "The billing manager of Wix wanted to take that offering and build a service for our users." What started as a small project evolved into a comprehensive financial platform serving businesses across the globe. The company now processes over $3 billion per quarter with a team of 160 people, covering payments, checking accounts, and capital lending. Listen to the podcast to hear how a chance collaboration between Wix's billing team and gateway developers turned into a fintech operation processing billions quarterly. Sagiv and Tsukur discuss why they deliberately avoided becoming a full-fledged bank, and how website data reveals creditworthiness before transaction history does. It’s a conversation that dives deep into what it means to be serving SMB customers digitally and how firms can do embedded finance right.

    40min
  7. How Lendflow is helping embedded lenders reduce system fragmentation and gain an edge in AI

    23 DE OUT.

    How Lendflow is helping embedded lenders reduce system fragmentation and gain an edge in AI

    SMBs don't have access to the same level of sophisticated lending options as consumers.There is one fundamental problem that prevents this class of product from pushing forward: lenders juggle multiple data vendors, wrestle with disconnected point solutions, and these tools lack the ability to paint a full picture of the SMB customer and their needs. The result is an ecosystem where a majority of time is spent on solving operational blockades rather than building solutions that cater to the whole lending lifecycle of a SMB customer. “We need something that covers everything. There can't just be a bunch of point solutions," says Jon Fry, founder and CEO of Lendflow. Lendflow has tackled this challenge by building a unified embedded lending infrastructure that works with over 200 companies to streamline three critical pillars in the lending lifecycle: distribution, decisioning, and workflow automation. The firm is not a lender today, nor are they interested in becoming an embedded lender in the future; instead it has positioned itself as the technology backbone that enables existing lenders to become embedded lenders themselves. Lendflow’s approach is paying off for clients like BHG Financial, which uses the firm's entire platform suite and has seen dramatic improvements in operational efficiency and approval rates through the partnership. Listen to this podcast to learn how Lendflow is helping lenders break out of the fragmentation quagmire and access a full agentic AI toolbox that helps re-engage borrowers, as well as improve efficiencies for internal processes.

    40min
  8. How Upstart's AI is mastering growth, credit performance, and profitability

    22 DE OUT.

    How Upstart's AI is mastering growth, credit performance, and profitability

    Welcome to the Tearsheet podcast, where we explore financial services together with an eye on technology, innovation, emerging models and changing expectations. I'm Tearsheet Editor in Chief, Zack Miller. There's an old theory in lending that you can only master two or three things: growth, credit performance and profitability. For decades, this has been accepted wisdom, until AI started changing the fundamentals of how we assess credit risk. Today, I'm joined by Paul Gu, Co-Founder and Chief Technology Officer of Upstart. Paul's journey reads like a modern Silicon Valley story—from Chinese immigrant to Yale dropout. He became part of the inaugural class of Thiel Fellows before co-founding Upstart in 2012. Under his leadership, Upstart has gone from zero model training data points in 2013 to processing 91 million data points today. Their AI predicts both default and prepayment likelihood for every month of a loan's term, and Paul believes Upstart's AI is bringing them closer to achieving all three pillars of lending—an approach that could redefine consumer lending across the entire credit lifecycle. We'll explore how this evolution is playing out, dive into Upstart's 2025 roadmap, including their push for 10x AI leadership and GAAP profitability, and discuss what this means for the future of credit.

    24min
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Tearsheet is news, opinion, and analysis on the business of finance. Candid conversations with senior executives, fintech entrepreneurs, investors, industry experts -- all weigh in on the trends impacting the industry and the disruptive impact technology is having on the business. Where social media, technology and finance intersect.

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