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Use case · Fraud & financial-crime teams
Catch the pattern static rules miss — ranked by exposure.
Scores transactions and entities for anomalies beyond static rules, opens ranked cases with the evidence, and cuts false positives.
The operating challenge
Static rules catch yesterday's fraud and drown teams in false alarms.
How the product fits
Score for anomalies, rank by exposure, attach the evidence.
How the workflow runs
- 1
Connect transaction streams
- 2
Score transactions and entities for anomalies
- 3
Rank alerts by exposure
- 4
Open a case with the evidence to an analyst
Operational outcomes
- Fraud caught earlier
- Fewer false positives
- Faster case handling
Information and systems used
- Transaction data
- Customer / entity data
- Case history
Enterprise controls built in
The use case inherits the same deployment, permission and audit model as the product.
- Every risk score is explained — the drivers, the evidence and a confidence label, never a black box.
- Reversible steps run inside policy; reducing a limit, placing a hold or blocking a vendor waits for a named approver.
- Sensitive financial data can stay on-premises while compute scales in the cloud.
See this use case on your own process and data.
We will scope the workflow, sources, controls and success measure before proposing a pilot.
Book a 30-minute tailored demo