Financial services · Representative profile: top-tier regional bank
Fraud triage designed to pay for itself
An agentic triage layer that closes false positives with a full audit trail — and surfaces what humans miss.
Illustrative scenario — not a customer case study
Design targets
92%
Target: false positives auto-resolved
$18M
Loss-prevention design goal, year one
24/7
Coverage, no added headcount
The problem pattern
Tens of thousands of fraud alerts a day, the vast majority false positives. Analysts drown, real fraud ages in the queue, and regulators want every decision explained.
How our agents attack it
A triage team of agents scores, investigates and documents every alert inside the bank's private cloud. Each closure carries a written rationale a regulator can read.
Designed outcome
Designed so false positives close themselves with an audit trail, analysts work only the cases that matter, and prevented losses are measured against the cost of the engagement.
This page describes an engineered deployment pattern, not a real engagement. Profiles are representative, and all figures are design targets used to size the architecture. Verified live metrics for our own operation are published on the autonomy page.