Vehicle service contracts are subject to a claims chain that connects the seller, the risk-bearer and the party that determines repair costs. This creates conditions ripe for AI-based anomaly detection, according to a new white paper published by Warranty News and authored by Mike Frosch, president of Meramec Secure.

The paper identifies three high-priority use cases for AI in the VSC lifecycle: claims fraud detection and repair cost validation, sales mix and anti-selection monitoring, and early warnings for underwriting and actuarial.

In each case, Frosch argues, the constraint is not a lack of data — providers, administrators and underwriters already collect claims, sales and loss data — but the absence of a system that continuously converts that data into actionable alerts before losses compound.

“AI agents — purpose-built to monitor specific metrics, detect deviations from expected norms, and route findings to the right person — are well suited to close that gap,” Frosch writes.

Read more at Warranty News