Multi-Agent Fraud Detection for Auto Insurance
Automotive & Insurance — Motor insurance claims showed intricate fraud patterns, and frequent false alarms were hurting honest customers Results: Fraud…
Client: Auto Insurance Company. Sector: Automotive & Insurance.
The challenge: Motor insurance claims showed intricate fraud patterns, and frequent false alarms were hurting honest customers
What we built: A set of AI agents catches fraud in real time on motor claims by combining graph neural networks, behaviour analysis and checks on claim images
Tech used: Multi-Agent AI, PyTorch, Neo4j, Computer Vision, Kafka.
- Fraud Caught: 99.2%
- False Alarms: -82%
- Time to Process: <50ms
- Losses Avoided: $28M