A payments company sat under regulatory review, having paid regulators nine figures in 2025 for incomplete fraud investigations. Every fraud decision had to be complete, timely, documented and defensible, 660,000 times a month. The next penalty would be larger. An investigator rebuilt each case from 12 screens across 8 systems by hand. The denylist check ran at a 33% error rate, and the customer stayed locked out.
An agentic orchestration system assembles the record. An orchestrator and 3 sub-agents read the 8 systems, and a gradient-boosted model scores the risk. Rules decide where policy is written down, and models decide where it is not. Name and card changes close by written policy, and every other queue waits for a person.
100% of regulated decisions pass through a person, by law. A case takes 9:00 to 4:00 minutes. The engine is fast on the assembly, and the decision waits for a person.
The engagement started to reduce risk and fraud penalties and to fix the customer’s experience. Every signal is sourced and every override is logged. Refunds go out on time, nobody stays locked longer than the review needs, and a person is reachable.
The same 16 steps run. 12 finish before the case is opened, and the investigator reads one record.
Card signature reviews and legal name changes close by written policy.
7 parameters were read off a PDF. The engine reads them, with a version number.
The engine assembles them across 8 systems and about 150 data points, none of them retyped.
of regulated decisions, by law. The signature is on the record.
The engine drafts the report and a person files it, with every actor and source named.
The investigator opens one screen and reads one record. Onshore review receives a report the engine drafted and a person filed. The customer whose account was locked gets an answer in minutes.