FIS, Anthropic Launch AI Agent to Speed Bank AML Cases

FIS and Anthropic unveiled the Financial Crimes AI Agent to cut AML case times from hours to minutes. Pilots with BMO and Amalgamated Bank are under way; general availability is planned for H2 2026.

FIS and Anthropic introduced the Financial Crimes AI Agent, a software tool that pairs Anthropic’s Claude reasoning model with FIS’s banking data and regulatory systems. Pilots are under way with BMO and Amalgamated Bank. The companies plan general availability in the second half of 2026.

The agent retrieves records from a bank’s core and auxiliary systems when an investigation opens. It consolidates disconnected transaction histories and customer records, evaluates activity against known money-laundering typologies, and surfaces the highest-risk cases for investigator review. Human investigators retain final sign-off on every decision.

FIS noted that client data remains inside FIS-managed systems and that every agent decision is auditable, offering traceability for regulator review and internal oversight.

The United Nations estimates roughly $2 trillion in illicit funds move through the global financial system each year. U.S. financial institutions spend an estimated $35 billion to $40 billion annually on AML operations. FIS noted investigators often spend the majority of their time compiling evidence before analysis can begin; the agent is designed to reduce that workload.

On April 8 the U.S. Treasury proposed rules that would treat permitted payment stablecoin issuers as financial institutions under the Bank Secrecy Act, requiring AML programs and Suspicious Activity Report filings. FIS presented the agent as a tool for banks to shift resources to higher-risk activity as regulatory expectations change.

The companies plan to extend the agent framework to other workflows, including credit decisions, deposit retention, customer onboarding and fraud detection.

“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 firms said in a press release.

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