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Overview
ML module for suspicious health insurance claims, fraud risk scoring, and claim review decisions.
A focused fraud analytics module that scores claims, surfaces anomalies, and supports human reviewers with audit-friendly prediction logs.
AI Fraud Detection Engine
ML module for suspicious health insurance claims, fraud risk scoring, and claim review decisions.
- ML models for claim fraud scoring.
- Training and prediction on historica
- Detection of unusual amounts, repeat
- API-first integration with existing
A focused fraud analytics module that scores claims, surfaces anomalies, and supports human reviewers with audit-friendly prediction logs.
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Project gallery
Screens and visuals from this solution.
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Key features
ML models for claim fraud scoring.
Training and prediction on historical claim data.
Detection of unusual amounts, repeated patterns, provider anomalies, and suspicious behavior.
API-first integration with existing insurance cores.
Prediction logs for auditing and model improvement.
Dashboard-ready outputs for risk monitoring.
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