Claims & Fraud Analytics
Accelerate the claims lifecycle while minimizing leakage. Detect hidden fraud networks in real time and straight-through process legitimate claims.
ML Fraud Detection & Network Analysis
Detect organized fraud rings before a single claim is paid.
Use advanced machine learning and graph-based network analysis to surface anomalous claim patterns immediately. By continuously learning from historical signals and cross-referencing relationships, the platform proactively identifies organized fraud rings before payment is released.
- Continuous ML anomaly detection across incoming claims
- Graph-based analysis reveals organized fraud rings
- Supervised and unsupervised models adapt to new schemes
- Cross-line fraud signal correlation and prioritization
Straight-Through Claims Processing
Fast-track legitimate claims. Eliminate manual review queues.
A hybrid rules-and-ML decision engine auto-approves low-risk claims without human intervention. Complex or ambiguous claims are routed to the right adjuster with full context, so teams focus where judgment matters.
- Hybrid rules and ML auto-approvals for low-risk claims
- 80%+ straight-through processing with lower operating cost
- Intelligent routing for complex claims with full context
- Faster payouts that improve customer satisfaction
Ready to stop fraud and accelerate claims payouts?
See how NATIS helps insurers detect fraud in real time, automate straight-through processing, and deliver faster trusted claim experiences.