This Week in Fraud (5/12)

This Week in Fraud (5/12)

Hello Fraud Fighters!

This week, one of fintech's biggest infrastructure players bet big on AI for financial crime — and chose Claude to power it. Meanwhile… imposter scams are skyrocketing, lenders are watching fraud eat directly into their credit losses, and the NCUA's inspector general confirmed what nobody wanted to say out loud: sometimes the fraud is coming from inside the building.

Let's get into it.

Big Story: The AML Machine Wakes Up

There are roughly 12,000 banks in the world and FIS sits inside 12% of them. So when FIS announces it's building an agentic AI financial crime system powered by Anthropic 's Claude, it’s a big deal.

The Financial Crimes AI Agent , announced last week, is designed to compress AML alert investigations from days to minutes. The agent automatically assembles evidence from across a bank's core systems, evaluates transactions against known typologies, and surfaces only the highest-risk cases for human investigator review. BMO and Amalgamated Bank are the first institutions in development with it; general availability is targeted for H2 2026.

The numbers explain why this is overdue. US financial institutions spend between $35 and $40 billion annually on AML compliance. Investigators waste most of their time manually pulling records from disconnected systems before any real analysis can begin. The agent solves the evidence-assembly problem, not by replacing human judgment but by making the raw material for that judgment available instantly and completely.

What makes this worth watching beyond the press release is the deployment model. Anthropic's Applied AI team and forward-deployed engineers are embedded at FIS, co-designing the agent and establishing the evaluation frameworks that will allow FIS to build additional agents independently over time. The roadmap explicitly includes credit decisioning, deposit retention, onboarding, and fraud prevention. FIS CEO Stephanie Ferris stated: "The future is about a trusted provider who manages the data, who governs the agents, and who stands between your customers and the AI making decisions about their money."

The accountability structure matters too. Jonathan Pelosi, head of financial services at Anthropic, noted that every conclusion the agent reaches links back to its source data, and every decision stays with the investigator. For compliance teams thinking about how to explain agentic AI to regulators, that auditability is the value proposition.

The “so what” for fraud operators: the AML investigation workflow is about to become the first genuinely agentic process at scale inside regulated financial institutions. If your institution is on FIS infrastructure, this is worth understanding now — not when the sales cycle shows up at your door. And for everyone else: the clock is ticking on institutions still running AML on batch-era tooling while fraudsters operate in real time.

Quick Hit #1: The FTC's Imposter Scam Numbers Are Grim Reading