Fraud Detection AI

Challenge

Insurance operators needed to identify suspicious claims earlier while keeping legitimate customers moving through the process.

AI Twist

The model behaves like a second investigator, turning messy claim context into an explainable suspicion map that shows why a case deserves human review.

System Build

Designed an AI scoring layer that reviews claim data, flags risk patterns, and gives internal teams a prioritized queue with explainable signals.

Outcome

Reduced manual review pressure and created a clearer path for high-risk claim escalation across multiple insurance categories.