Financial technology company FIS has partnered with artificial intelligence lab Anthropic to launch a Financial Crimes AI Agent designed to combat money laundering. The collaboration pairs Anthropic's Claude model reasoning with FIS's banking data and regulatory infrastructure, targeting what the United Nations estimates is a $40 billion global problem.
BMO and Amalgamated Bank are among the first financial institutions piloting the agent, according to BeInCrypto. General availability is scheduled for the second half of 2026, though no specific pricing or deployment details have been disclosed. The round type and investment terms were not specified in the available sources.
The move comes as financial institutions face mounting pressure to modernize compliance systems. Traditional anti-money laundering (AML) approaches often rely on rule-based systems that generate high false-positive rates, driving operational costs. By layering AI reasoning onto existing data, FIS and Anthropic aim to reduce noise and surface genuine threats more efficiently.
This partnership signals a broader trend of AI adoption in regulated industries. Banks are increasingly exploring large language models not just for customer service but for core compliance functions where accuracy and auditability are critical. The success of this pilot could accelerate similar deployments across global banking systems.
Neither FIS nor Anthropic have commented on how the agent will handle regulatory scrutiny or potential biases in training data. The counter argument remains that AI-driven compliance tools may introduce new risks if not carefully validated against existing legal frameworks.