AI-powered voice analysis identifies deceptive patterns in claims calls -- stress markers, cognitive load shifts, and behavioral anomalies that human adjusters cannot detect at scale.
Request Insurance DemoMost 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. Deceptive callers exhibit involuntary vocal stress markers that AI can detect consistently at scale, without disrupting the claimant experience.
Standard claims call captured through existing telephony systems. No special hardware required.
AI examines stress markers, hesitation patterns, and cognitive load indicators across the full conversation.
Each claim receives a fraud probability score with confidence intervals and flagged segments.
Flagged calls routed to SIU for human review and investigation with full analysis context.
Fire, theft, and water damage fraud detection. Identify exaggerated losses and staged incidents through vocal stress analysis.
Treatment fraud and prescription abuse pattern detection. Flag inconsistencies in reported symptoms and medical history.
Staged accident identification and injury exaggeration detection. Analyze claimant narratives for deceptive indicators.
Return-to-work readiness assessment and malingering indicators. Track recovery narrative consistency over time.
REST API, webhook notifications, and batch processing. Integrates with Guidewire, Duck Creek, and custom claims platforms. Deployed in your infrastructure or accessed via our secure cloud.
Add voice intelligence to your fraud detection stack. Non-invasive, scalable, and ready for enterprise deployment.