Reduce the work behind AML alert reviews
Prepare sourced evidence for analyst review in the systems you already use. Measure handling-time gains separately from changes in false-positive volume.
Automating evidence gathering and case preparation can reduce the work required to investigate AML alerts. Faster handling does not establish that a monitoring system generates fewer false positives. Changes to rules or thresholds require separate testing, approval, and monitoring of detection quality.
Alert generation and investigation are different tasks
A monitoring or screening system generates an alert. Investigators then gather evidence to determine its disposition. Treat a likely false positive as a hypothesis to test, rather than assuming the alert should be cleared before reviewing the evidence.
Bretton’s platform describes evidence gathering, policy application, and case drafting for team approval within existing systems. Confirm the required connections and workflow scope for the bank’s own stack.
Prepare evidence while preserving review controls
Bretton can help gather evidence and draft a case for analyst review. Define the records, policy checks, source references, and unresolved questions the reviewer needs. Keep disposition and escalation authority at the control points the bank specifies; case preparation alone does not validate changes to detection rules.
- Back test historical alerts before production
- Track results by alert type and scenario
- Review exceptions and analyst corrections
- Test and approve detection-rule changes separately
Measure the work the team no longer has to repeat
Track time per alert, manual preparation time, reviewer corrections, escalation rate, and quality-control results. To assess false-positive reduction, separately define the reviewed population, disposition criteria, and comparison period. Do not treat faster handling or a higher closure rate as proof of improved detection.
Results from customer implementations
These results apply to the cited customer implementations. They are not forecasts for this workflow or evidence that a particular delivery model caused the result.
Practical answers before the demo.
What causes false positives in AML screening?+
Common causes include broad rules, weak or ambiguous data, name variations, stale adverse media, conservative thresholds, and scenarios that lack enough context.
Does faster alert review mean fewer false positives?+
No. Evidence gathering and case preparation can shorten investigations without changing the alerts generated. Claims about fewer false positives require a defined baseline and separate testing of detection changes, including missed-risk checks.
Can a bank keep its existing monitoring platform?+
Bretton is designed to work within existing systems. Confirm the bank’s required integrations, data access, and review controls during scoping. This does not imply that every platform connection or tuning workflow is already configured.