Leaders In Payments and FinTech - The EDC Podcast

The episode surfaces a few genuinely useful structural points - the intent-execution gap, the binary nature of current card approval logic, and B2B payments as the best near-term vertical - but spends too much time in 'we don't know yet' territory and restating common knowledge about agentic AI without pushing to actionable depth.

“The problem isn't that the agent can't decide. It's like ah, everything around it messy.”

“What's missing is a layer that sits like, between, I, um, would say what agent is allowed to do and what's not. So we don't have that layer right now. It's, uh, very binary. Either you approve something or you don't.”

The claim that B2B payments are best positioned for agentic adoption before consumer e-commerce is a mildly contrarian and underexplored point, but most of the conversation recycles the standard agentic payments narrative (fraud system mismatch, liability ambiguity, checkout disruption) that has circulated widely in fintech media.

“I think the B2B payments are the best positioned uh, for Agent uh to be impacted first. Why? Because you know when you are doing B2B payments usually you are like part of the company and you know that there are rules.”

“I mean getting the intent correctly and executing on that is the biggest problem at the moment.”

Sam Boboev is primarily a fintech newsletter writer and podcast host, not a senior operator who has scaled payment systems; his product management background is mentioned briefly but he speaks as an analyst and commentator rather than a practitioner with direct build-and-run experience at scale.

“I'm Sam. I'm the founder of a Fintech Wrap Up. It's an analytics and media platform, uh, where I just basically write about fintech payments and everything that's happening around it.”

“I attended the event by Nvidia and aws and the same question was open.”

A handful of company names are dropped (Ramp, Brex, Stripe, Google, Visa, Mastercard, Lovable, Paddle) providing some grounding, but there are zero metrics, no dollar figures, no timelines, and no substantive case studies - the Lovable/Paddle example is cited but not explained in any operational detail.

“We already see examples of ramp for example starting working on those types of solutions. It's US based expense management platform or Brex.”

“I saw one such example is when Lovable, one of the biggest companies uh, in Europe partnered up with Paddle merchant of Airport company.”

The host asks genuinely structured follow-ups - particularly the liability scenario framing and the 'who is most exposed' question - and contributes her own substantive framing around closed-loop ecosystems and merchant of record, though she never challenges a vague or unsupported claim and lets several 'it's still open' non-answers pass unchallenged.

“So if I'm Beatrice and I ask my ChatGPT to buy a shirt and the transaction goes wrong, for whatever reason, the, uh, product catalog is misaligned, the pricing is wrong, it's not the color that I requested. Who owns that failure, who is liable?”

“unlike humans with bots you can have thousands and thousands. Right. So how do you look at every single one without your traffic being impacted, Exploding?”