Detect suspicious transaction patterns in real time — auto-flag risks, generate SAR drafts and reduce regulatory exposure with intelligent monitoring.
Six production-ready capabilities available from day one — no additional integrations or extra licensing.
ML models identify structuring, layering and other suspicious transfer patterns in real time.
Instant webhook notifications when a customer's risk score crosses your configured threshold.
Auto-generate Suspicious Activity Report drafts from flagged transactions — ready for MLRO sign-off.
Screen account holders against PEP lists, sanctions databases and adverse media feeds continuously.
Per-customer risk score updated on every new transaction — always current, never static.
Immutable 3-year log of all monitoring events, decisions and reviews for regulatory inspection.
Link customer bank accounts via the Account Information API to begin transaction ingestion.
ML models build a normalised behavioural profile for each customer over the first 30 days.
Every new transaction is scored in real time against the customer baseline and global patterns.
Risk alerts fire via webhook, SAR drafts are generated, and the audit trail updates automatically.
Continuous ML-powered monitoring across all connected accounts for suspicious activity patterns.
Explore use case →Auto-generate SAR drafts from flagged transactions to reduce MLRO workload by up to 80%.
Explore use case →Verify business identity and screen against sanctions lists at onboarding — and continuously.
Explore use case →Webhooks fire the moment a risk threshold is crossed. Full event payload included — no polling, no delay, no missed alerts.
95% detection accuracy. Real-time alerts. Auto-SAR generation. Scale compliance without scaling headcount.
No credit card required · FCA regulated · Live in minutes