Insurance Fraud Analytics

Insurance fraud is persistently underestimated as a cost driver -- and persistently underinvested in as a target for technology improvement.

The traditional detection model relies on adjuster intuition and specific red-flag rules. Both have value, but both have systematic blind spots. Organized fraud rings specifically design their operations to avoid triggering known rules, and they move faster than rule updates can follow.

Network analytics -- examining the relationships between claimants, providers, attorneys, and repair facilities -- surface patterns that rule-based systems miss entirely. A cluster of unrelated-looking claims connected through a shared body shop and a shared attorney becomes visible in a graph analysis that would never appear in a linear audit.

The carriers who have deployed these capabilities are reporting meaningful improvements in suspicious claim identification rates, and the economic returns far exceed the technology investment.