Rules plus AI-assisted detection with a scenario library, natural-language scenario builder and sandbox testing. Alerts scored in the full context of client risk.
Every monitoring system generates alerts. Very few generate decisions. The rules fire on thresholds a criminal can read in a manual, the genuinely odd behaviour slips between scenarios, and tuning anything means a change request measured in months.
Hybrid detection: deterministic rules plus AI-assisted pattern recognition
Pre-built scenario library with sector packs
Custom scenario builder including natural language: describe the behaviour, get a deployable rule
Sandbox testing with self-serve promotion to production
Smart scores that read the wider context, including the client's current risk rating
Parallel run alongside an incumbent TM system during evaluation
Deploys against your transaction flows via the Integration Hub. Scenario tuning is self-service, not a vendor ticket. Runs alongside an incumbent TM system during evaluation.
Every alert score is decomposed with written rationale. Model risk documentation is supported by design.