How one AI solution is aiming to help tackle insurance fraud

Originally published by InsuranceNewsNet on October 3, 2024.

InsuranceNewsNet examines how Carpe Data is leveraging artificial intelligence to combat insurance fraud through advanced data analytics and real-time monitoring capabilities. The article highlights the company's approach to identifying suspicious claims by examining digital footprints, social media activity, and other publicly available data sources that traditional investigation methods might miss.

The platform uses machine learning algorithms to detect inconsistencies and red flags in claim submissions, enabling insurers to flag potentially fraudulent activities earlier in the claims process. By automating portions of the fraud detection workflow, carriers can allocate investigative resources more efficiently while reducing false positives that delay legitimate claims.

Carpe Data's solution addresses a persistent industry challenge, as fraud continues to drive up costs for insurers and policyholders alike. The technology aims to balance thorough fraud detection with customer experience, helping carriers make faster, more informed decisions without creating unnecessary friction for honest claimants.

Read the full article at InsuranceNewsNet.