Agentic AI: The factory that’s scaling finance at Money20/20 USA

The days of “AI is coming” are over.

It’s here, and it’s wearing a name tag.

At Money20/20, leaders from TD Bank, Stripe, and Fiserv, alongside NVIDIA, spilled the secrets on how they’re going from simple prediction to full-blown, autonomous AI Agents. Here’s why your product road map is about to get a massive upgrade.

The financial world has officially reached an inflection point. For a decade, we relied on “predictive AI”: crunching tabular data to give us insights. It was smart, but it was essentially a high-powered suggestion box.

Now, a new, more thrilling technology has landed: Agentic AI. This isn’t just about suggesting an action; it’s about the AI taking the action itself, autonomously running core workflows. As Pahal Patangia of NVIDIA put it, this is the rush toward a safer, faster, and smarter commerce ecosystem.

From left to right Pahal, Sumee, Josh, Sanjay

The Fraud Fight Gets a Transformer Upgrade

The biggest headline for security and risk leaders? Traditional fraud models are officially obsolete. Josh Ackerman of Stripe detailed the new frontier: Foundation Models.

Stripe, which processes a cool $1.4 trillion (that’s 1.3% of global GDP), built the world’s first payments foundation model. Think of it as an omniscient payments brain that sees patterns no human or old algorithm ever could.

• The Results Are Wild: In the past year, while industry-wide fraud rates climbed by 15%, Stripe’s transformer-based model slashed fraud on its ecosystem by 17%. That’s not a tweak but a structural defense against the digital bad guys.
• The Agentic Commerce Paradox: The new problem? Agentic commerce, where bots (like the ChatGPT instant checkout) make purchases on your behalf. This is a massive leap for convenience, but it creates a trust gap. Stripe is now pioneering ways to actively “underwrite trust” for these agents, ensuring a purchase is made by a good actor, not a malicious bot.

TD Bank’s Sumee Seetharaman confirmed this trend, revealing they built their own predictive foundation model, PRISM. The payoff: it picked up customer nuances missed by older models, leading to a phenomenal boost in personalization speed and accuracy across the bank.

From Wall Street to Main Street: AI for the Little Guy

The real economic opportunity, according to Fiserv’s Sanjay Saraf, is taking this massive AI power and distributing it to the “edge” specifically, to Small and Medium Businesses (SMBs).

“This is the first time I feel that data, data science, and Agent tech stuff can really bring inclusivity,” Saraf declared.

SMB owners are juggling the front office, the kitchen, and payroll all at once. For them, an AI factory isn’t just a cost-saver but a life-saver.

This democratization happens at the nexus of agentic commerce and embedded finance:

1. A Purchase is Made: A consumer (or their bot) makes an instant purchase on a marketplace (agentic commerce).
2. Instant Capital is Created: The AI model immediately translates that real-time transaction data into a trust underwriting signal.
3. Value Moves: The platform can instantly offer the seller a lending product, an advanced settlement, or working capital. The money movement becomes programmable, flowing at the speed of the transaction, not the speed of the old banking system.

 Building the AI Factory: All About the Plumbing