Detect Claims Fraud Through Voice
Voice analysis checks claims call recordings for synthetic speech, cloned voices and edited audio, signals that human adjusters cannot hear.
- Recorded call analysis
- Non-invasive, no caller disruption
- API-ready claims integration
- Human review on every flag
The Challenge
Insurance Fraud Costs $80B+ Annually
Most fraud detection focuses on documents and data patterns. But the majority of claims begin with a phone call, and voice is the most information-rich, least exploited fraud detection channel available. Cloned and synthetic voices can now impersonate a policyholder on that call. Automated acoustic analysis can flag them at scale, without disrupting the claimant experience.
How It Works
Voice Analysis in the Claims Workflow
Call Recording
Standard claims call captured through existing telephony systems. No special hardware required.
Voice Analysis
AI examines acoustic signals, synthesis markers and signal anomalies across the full conversation.
Risk Scoring
Each claim receives a fraud probability score with confidence intervals and flagged segments.
Alert & Review
Flagged calls routed to SIU for human review and investigation with full analysis context.
Applications
Property Claims
Fire, theft, and water damage claims. Flag calls and voice evidence that carry synthetic speech or editing traces before a payout is approved.
Health Insurance
Recorded authorisations and voice statements. Check that they come from a human voice and an unedited recording.
Auto Claims
Voice statements and recorded evidence. Check them for splices, re-recording and synthetic speech.
Workers Compensation
Recorded statements over the life of a claim. Check that each one is an unedited recording of a human voice.
Integration
Seamless Integration
REST API, webhook notifications, and batch processing. Connects to claims platforms through the API. Deployed in your infrastructure or accessed via our secure cloud.
Transform Your Claims Process
Add voice intelligence to your fraud detection stack. Non-invasive, scalable, and ready for enterprise deployment.