Workflow Tiers — what the decisions mean
Risk-Score Distribution (test events)
Fraud Outcome Breakdown
Detection by Claims Fraud Zone
Each bar shows the share of fraud cases caught (green) vs missed (red) for that zone.
Risk Profile by Customer Segment
Slice size shows how many claims the segment filed; colour shows average risk.
| Case ID | Customer | Claim Type | Amount | Claimant | Filed via | Segment | Risk | Decision | First filed |
|---|
What you're looking at
Bank changed — Bank account changed within last 30 days
Contact changed — Phone, email, or address changed in last 30 days
Beneficiary changed — Beneficiary updated in last 60 days
New device — Filed from a device not seen before for this customer
VPN — Connection routed through a VPN or proxy
Doc match — How well submitted documents agree (higher is better)
Fill time — Seconds spent filling the form (very fast can be suspicious)
Risk — Overall fraud risk score for this step
| Event | Case | Type | Channel | Segment | Bank changed |
Contact changed |
Beneficiary changed |
New device |
VPN | Doc match |
Fill time |
Risk | Decision | Time |
|---|
Top Risk Signals — what drives the model
These are the strongest signals the model uses to flag a claim. Bar length reflects how often the signal influences the risk score across all claims.