Financial technology firm FIS and Anthropic unveiled the Financial Crimes AI Agent. The product pairs Claude’s reasoning with former’s banking data and regulatory infrastructure.
BMO and Amalgamated Bank are among the first banks piloting the agent. General availability is planned for the second half of 2026.
Why FIS Targeted AML First
The United Nations estimates roughly $2 trillion in illicit funds move through the global financial system each year. US financial institutions spend $35 billion to $40 billion annually on anti-money-laundering (AML) operations.
FIS noted that investigators must manually pull evidence across disconnected systems, which takes up the majority of their time before any analysis begins. Emerging US regulation now pushes banks to shift resources toward the highest-risk threats.
The timing extends past traditional banking. On April 8, the Treasury proposed rules to treat permitted payment stablecoin issuers as financial institutions under the Bank Secrecy Act. The framework requires AML programs and Suspicious Activity Report (SAR) filings.
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Inside the Anthropic-FIS AI Agent Architecture
According to the company, it is rolling out agentic AI for the banking industry. Once deployed, the agent will pull evidence from a bank’s core systems when a case opens. It will evaluate activity against known money-laundering typologies. Notably, human investigators keep final sign-off on every decision.
“The agent will compress anti-money-laundering investigations from hours to minutes, automatically assembling evidence across a bank’s core systems, evaluating activity against known typologies, and surfacing the highest-risk cases for investigator review,” the press release read.
All client data is held inside FIS-managed systems, and every agent decision is auditable. The firm also outlined a future roadmap that includes decisions on credit, deposit retention, customer onboarding, and fraud detection.
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