The traditional U.S. credit system runs on a paradox: the more you need a little breathing room, the harder it is to get. Peter Maher, CEO of FLOTE — a U.S. subsidiary of ASX-listed Ovanti — wants to break that loop. His argument is simple but radical: a credit score isn’t a measure of whether you can afford something today; it’s a lagging record of something that went wrong years ago. In this conversation, Peter explains how FLOTE lends on real-time cash flow instead of FICO scores, why agentic AI let a team of under ten build a bank-grade risk engine, and what he learned the hard way about both credit and building a startup.
Key Takeaways
- A credit score is a lagging metric, not a measure of affordability — one mistake at 19 locked Peter Maher out of loans for nearly a decade despite having the cash flow to pay
- FLOTE underwrites on real-time income, balances, and daily cash flow rather than FICO scores, targeting the roughly half of U.S. consumers limited to cash and debit
- 30–50% of U.S. retail transactions are still cash or debit, often because that’s the consumer’s only available payment method
- A team of fewer than 10 built the full credit-risk model, platform, and live MVP in a few months and a couple of million dollars — agentic AI seasons the risk model across simulated scenarios instead of one live transaction at a time
- The BNPL product is the “wedge”; the real long-term asset is the proprietary cash-flow risk and decisioning model, which can later extend to auto lending and business finance
From a Spring Break Mistake to a Fintech CEO
Peter’s drive to build FLOTE is personal. At 19, a credit card he took out for spring break went unpaid — a couple of thousand dollars he describes as entirely his own fault. That single mistake dragged his credit score down far enough to shut him out of apartments, car loans, and basic credit for close to a decade, even once his actual finances had recovered.
"A credit score is not an indicator of affordability. It's a lagging metric. I know what our users are going through because I've been there."
That lived experience became the thesis of the company. The system, as Peter sees it, is backwards: the people who most need a small amount of liquidity are the ones it’s hardest for. FLOTE is his attempt to decision people on their real financial capacity — how often they’re paid, what their balances look like — rather than a number that punishes an old error.
Cash Flow Over Credit Checks — and the Other Half of America
Peter’s wedge market is the roughly half of U.S. consumers who, for one reason or another, don’t qualify cleanly within traditional credit systems — credit cards, conventional loans, even most buy-now-pay-later providers. One telling signal: 30 to 50 percent of U.S. retail transactions are still made with debit or cash, often because that’s the only payment method available to the shopper.
"These consumers are constantly having to make the choice when they're living paycheck to paycheck: do I eat up all my liquidity to get something I need, or do I just pass on it altogether?"
Rather than asking for a FICO score, FLOTE looks at real-time income data, daily balances, and actual financial capacity in the moment. The BNPL product launches anywhere Mastercard is accepted in the U.S. — tap-to-pay in store or online — not just at a handful of integrated merchants.
How a Team of Ten Built a Bank-Grade Risk Engine with Agentic AI
The obvious question is how a staff of fewer than ten builds a proprietary credit-risk engine that can stand next to far larger institutions. Peter’s answer is agentic AI and machine learning. The team built the full risk and decisioning model, the platform, and a live-transaction-ready MVP in a few months on a couple of million dollars.
The deeper use of AI is in seasoning the model. A brand-new credit model needs to be tested across enormous numbers of scenarios before it can be trusted — and you can’t wait to gather those one real transaction at a time. FLOTE uses multiple agents and machine learning to run the model through countless simulated environments and outcomes behind the scenes. Peter’s view is blunt: if AI isn’t at the core of how you build, you fall behind fast.
Timestamps
00:00 Introduction — Peter Maher and FLOTE
00:44 Peter’s background and the founding of FLOTE / Ovanti
02:31 Why the U.S. needs an alternative to legacy credit
03:20 Who FLOTE serves and the problem it solves
04:58 Is the traditional BNPL model broken?
06:58 Building a unique cash-flow credit risk model
08:00 Why agentic AI is at the core of the business
09:17 Compliance, regulation, and security in U.S. fintech
10:45 Beta testing, the waitlist, and early adoption
13:00 Lessons from building a startup — Murphy’s Law for breakfast
16:54 What Peter would have done differently
19:34 The one piece of advice that changed his perspective
Compliance, Murphy's Law, and "Affordability for Good"
Any fintech has to be built for compliance first, and in the U.S. that means federal regulators like the CFPB plus fifty states that each treat lenders and cash-flow models differently. Peter says FLOTE mapped its regulatory, compliance, and security strategy before building the product — and treats it as a never-ending build, with a finger always in the air for the next regulatory shift.
His advice to founders is shaped by experience: be leaner than you think, in cash, headcount, time, and resources, and leave daily breathing room for the inevitable surprises.
"Building a startup is like inviting Murphy's Law to join you for breakfast every single day. Whatever you think you have — be leaner."
The mission he keeps returning to is “affordability for good” — a double meaning. For the better: financial innovation without exploitation or debt traps. And forever: a model that can eventually extend beyond consumer BNPL into auto lending, business finance, and borderless liquidity pools that let everyday people, not just institutions, put capital to work.
About the Guest
Peter Maher is the CEO of FLOTE, a U.S. consumer-finance platform and wholly owned subsidiary of Ovanti, listed on the Australian Securities Exchange. With over 15 years in fintech and payments — spanning B2B finance and AP automation before consumer credit — Peter is building FLOTE around a cash-flow-based lending model that underwrites borrowers on real-time income rather than credit scores, aiming to extend liquidity to the roughly half of Americans underserved by traditional credit.
Frequently Asked Questions
Q: What is FLOTE and how is it different from other buy-now-pay-later companies? A: FLOTE is a U.S. consumer-finance platform and a subsidiary of ASX-listed Ovanti, founded by CEO Peter Maher. Unlike most BNPL providers that rely on credit scores, FLOTE underwrites borrowers on real-time cash flow — income frequency, balances, and actual financial capacity. Its BNPL product works anywhere Mastercard is accepted in the U.S., in store or online, rather than only at integrated merchant partners.
Q: Why does Peter Maher say a credit score is a “lagging metric”? A: Peter Maher argues that a credit score reflects past events rather than a person’s current ability to pay. He points to his own experience: an unpaid credit card at age 19 lowered his score enough to exclude him from loans for nearly a decade, even after his finances recovered. In his view, real-time cash flow is a far more accurate measure of affordability than a historical score.
Q: How does FLOTE use AI in its lending model? A: FLOTE uses agentic AI and machine learning both to build and to “season” its credit-risk model. A small team built the full platform and a live MVP in a few months, and uses AI agents to run the risk model through large numbers of simulated scenarios and outcomes rather than testing one real transaction at a time. Peter Maher considers AI at the core of the business essential to keeping pace.
Q: Who is FLOTE designed to serve? A: FLOTE’s initial market is the roughly half of U.S. consumers who don’t qualify cleanly for traditional credit cards, loans, or most BNPL products. Peter Maher notes that 30 to 50 percent of U.S. retail transactions are still cash or debit, often because that’s the consumer’s only option. FLOTE aims to give those consumers liquidity based on their real cash-flow circumstances.
Q: What advice does Peter Maher give to fintech founders? A: Peter Maher advises founders to map regulatory, compliance, and security strategy before building the product, and to run leaner than they think across cash, headcount, time, and resources. He frames startup life as “inviting Murphy’s Law to join you for breakfast every single day” and stresses focusing on a minimum viable product rather than trying to launch a final version first.
