Industry·2 min read
By BitsMindsSource: FIS

FIS Teams With Anthropic on Agentic AML Tool That Cuts Investigations From Days to Minutes

FIS is rolling out an Anthropic-built Financial Crimes AI Agent that turns AML investigations from a days-long slog into minutes, starting with BMO and Amalgamated Bank.

FIS Teams With Anthropic on Agentic AML Tool That Cuts Investigations From Days to Minutes
Share:

Banking software giant FIS announced on May 4 that it is partnering with Anthropic to bring agentic AI to banks, starting with a Financial Crimes AI Agent built to compress anti-money-laundering investigations from days to minutes. BMO and Amalgamated Bank are first in line to deploy the agent, with broader availability planned for the second half of 2026.

The agent automates the most labor-intensive parts of an AML investigation: pulling evidence from a bank's core systems, evaluating activity against known financial-crime typologies, and surfacing the highest-risk cases — alongside a draft Suspicious Activity Report narrative — for an investigator to sign off. FIS says the system is designed to reduce false positives and improve narrative quality, both perennial pain points for AML teams that today wade through millions of low-quality alerts each year.

Crucially, FIS is not just licensing Claude. Anthropic's Applied AI team and forward-deployed engineers are embedded with FIS to co-design the agent and transfer enough know-how that FIS can build and scale further agents on its own. Stephanie Ferris, FIS CEO, framed the model bluntly: "The future is about a trusted provider who manages the data, who governs the agents, and who stands between your customers and the AI."

Data security is the engineered backbone of the deal. Client data stays within FIS-controlled infrastructure, every agent decision is traceable and auditable, and where the agent connects to non-FIS core systems via open integration standards, the governance and audit layers remain on the FIS side. Jonathan Pelosi, Anthropic's head of financial services, said FIS chose Claude "because they needed a model that could reason through complex investigations accurately."

The roadmap stretches well beyond AML. FIS and Anthropic say next agents will target credit decisioning, deposit retention, customer onboarding, and fraud prevention — a list that hits nearly every major workflow inside a retail bank. The deal also lands the same week Anthropic unveiled ten Claude-based agent templates for financial services and a Moody's data partnership, signaling an aggressive push by the lab to embed itself across Wall Street's core systems before rivals can.

Want AI news before everyone else?

The morning's most important AI stories, straight to your inbox. No fluff.

Related Articles

417–3 in the House. One objection in the Senate. Editorial illustration of the stalled Ratepayer Protection Act, H.R. 9340. A large 417–3 House vote meets a single red senator and a closed stop line. Below, AI data centres drawing 100 MW or more connect through a transmission tower to a home and an electricity bill. Amber conduits link the industrial load, grid upgrades and household costs. The proposed large-load standard would assign full incremental grid-upgrade costs to data centres, but a senator blocked unanimous consent, objecting that states were only asked to consider the standard. H.R. 9340 RATEPAYER PROTECTION ACT 417–3 HOUSE VOTE ONE SENATOR. BILL BLOCKED. The objection: states only asked to “consider”. AI DATA CENTRES 100 MW+ GRID UPGRADES WHO PAYS? BILL $ HOUSEHOLD BILLS BITSMINDS.COM
Industry

House Votes 417–3 to Make Data Centers Pay for the Grid

Hacktron: from an image upload to an internal repository An oversized HEIC photo file is connected by an electric green line to two glass security gates, labelled Forum and SSO, then to a dark repository cabinet bearing the OpenAI emblem and a pull-request symbol. A separate Claude Opus 5 plaque credits the model used by the researchers. The top caption says disclosed and patched. This is a conceptual illustration of Hacktron's reported security research and vulnerability chain. The two gates represent the two reported flaws, and their open padlocks are a visual metaphor. Original vector editorial illustration for BitsMinds, hacktron-claude-opus-5-openai-exploit-chain. 18 September 2026. Conceptual architecture based on the article, not a real interface or technical system diagram. HACKTRON / SECURITY RESEARCH DISCLOSED & PATCHED .HEIC IMAGE UPLOAD 01 FORUM IMAGE PROCESSING 02 SSO SIGN-IN TRUST INTERNAL REPO PULL REQUEST OPENED CLAUDE OPUS 5 RESEARCH ASSISTANT TWO FLAWS. ONE CHAIN. BITSMINDS.COM
Industry

Claude Opus 5 Wrote the Exploit That Broke Into OpenAI

Pew's global AI survey: uncertainty about the future of work An empty ochre office chair faces a computer in a quiet evening office. Beyond the window, buildings of unequal heights suggest an uneven economy. A large globe on the left is surrounded by 37 separate markers: 34 amber and three neutral. They represent surveyed publics, not individual respondents, countries mapped to locations, job counts or measured job losses. The caption states that in 34 of 37 publics, more people expect job losses than gains. This is an editorial illustration of public expectations reported in the Pew survey, not a prediction of what AI will actually do. Original vector illustration for BitsMinds, pew-global-ai-survey-2026-jobs-inequality. 17 September 2026. Survey finding, not observed labour-market outcomes. PEW / GLOBAL AI SURVEY 34 / 37 PUBLICS More expect job losses than gains AI BITSMINDS.COM
Industry

Most of the World Expects AI to Cost Jobs, Pew Finds