AI Fraud Investigation
Automatically analyzes victim and scammer call transcripts, extracts fraud patterns, classifies risk levels, and generates structured investigation reports — turning raw call data into actionable fraud intelligence.
Impact
The Problem
Fraud teams manually review hundreds of call recordings every week, trying to identify patterns, extract key details, and write up investigation reports. This process is slow, inconsistent, and lets patterns slip through that a structured system would catch instantly.
- Hours spent manually listening to and transcribing calls
- Inconsistent classification — depends on the analyst
- Fraud patterns not aggregated across cases
- Investigation reports written from scratch every time
Built For
Fraud Investigation Teams
Faster case analysis without hours of manual call review.
Risk & Compliance Officers
Consistent, structured reports with full audit trails.
Fintech Ops Leaders
Aggregate fraud pattern visibility across all cases.
Fraud Case Summary — Case #4821
Call Classification
Key Signals Extracted
- •Scammer posed as bank KYC officer
- •Victim shared OTP under pressure
- •Transaction window: under 4 minutes
Before vs After
The Old Way
- Analysts manually listen to call recordings
- Notes taken inconsistently per analyst
- Fraud patterns invisible across cases
- Reports written from scratch per case
- High-risk cases identified too late
The Automated Way
- Call transcripts analyzed automatically
- Fraud type, risk level, and signals extracted
- Patterns aggregated across all cases
- Structured report generated per case
- High-risk cases flagged for instant escalation
How the Workflow Runs
From raw input to client-ready execution
Tech Stack
What Gets Generated
Every run produces two ready-to-use artifacts
Google Sheets (Fraud Case Ledger)
Every run produces an AP ledger entry + an exception trail
Google Docs (Investigation Report)
Every run produces an AP ledger entry + an exception trail