F&M Bank estimates investigators save about 5 minutes per alert with Abrigo's AI-powered AML Assistant

F&M Bank deployed Large Language Models & Generative AI for Anti-Money Laundering & Compliance in Community & Regional. As reported by Abrigo: About 5 minutes estimated investigator time saved per alert.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
About 5 minutesEstimated investigator time saved per alert

Source-reported figures (cited source: Abrigo)

What F&M Bank was trying to fix

F&M Bank's BSA department grew from three employees to five over the past year, but investigators still spent considerable time gathering customer history and transaction details before they could evaluate alerts. Structuring alerts posed a particular challenge because of their volume and the research required before an investigative decision. The Bank Secrecy Officer wanted less manual research while preserving investigator judgment, and any AI had to be transparent enough for the bank's internal governance process and explainable to auditors and examiners.

What F&M Bank deployed

F&M Bank, based in Archbold, Ohio, with $3.3 billion in assets, adopted Abrigo's AML Assistant within BAM+, a platform its team already trusted. For each alert, the assistant assembles customer information, transaction history, business details and prior activity already stored in BAM+ into a concise AI-generated investigative narrative. Investigators see that context immediately instead of searching across multiple screens, and they still decide whether further investigation is needed. The Bank Secrecy Officer saw it as a practical, low-risk way to introduce AI into the BSA program.

Results

Bank Secrecy Officer Jacqueline Wells estimates investigators save about 5 minutes per alert, which across the hundreds of alerts each month translates into dozens of hours of recovered investigative capacity. She uses that capacity for quality-control initiatives, CTR exemption reviews, OFAC verification and other compliance priorities rather than simply increasing output. AML Assistant has also become a coaching tool that shows newer investigators what experienced analysts look for.

Key Takeaways

  • Start with AI that consolidates information already in the platform so investigators spend less time gathering context.
  • Keep investigators in charge of the decision and choose AI output that governance teams, auditors and examiners can understand.
  • Put recovered time into quality control and broader compliance work, and use the narratives to coach newer investigators.

Evidence for F&M Bank's Anti-Money Laundering & Compliance deployment

Reported outcome metrics
1 cited below
Cited source
Abrigo
Last updated
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