Fraud Investigation Copilot
Cross-references victim and scammer call transcripts against fraud databases to flag anomalies in real-time.
Impact Summary
Slow Investigations
Fraud analysts manually cross-reference call transcripts with databases, causing bottlenecks and delayed case resolution.
Automatically transcribes and cross-references call data against fraud databases, flagging anomalies and suspicious patterns in real-time.
Real-time
Flagging
High precision
Accuracy
How the workflow runs end to end
From raw data to booked meetings in 4 autonomous steps
Transcript Ingestion
Processes victim and scammer call recordings.
Entity Extraction
Extracts names, phone numbers, account details from transcripts.
Database Matching
Cross-references entities against fraud databases and watchlists.
Anomaly Flagging
Flags inconsistencies and suspicious patterns for analyst review.
Before vs After
The Old Way
- Manual transcript review
- Hours per investigation
- Missed fraud patterns
- Delayed case resolution
The Automated Way
- Real-time anomaly flagging
- Automated cross-referencing
- Faster case resolution
- Higher detection accuracy
Under the
hood
Built with modern, scalable low-code tools and enterprise-grade APIs to ensure reliability and speed.