Case Study: a large global P&C insurance and reinsurance carrier reduces claims leakage with ValueMomentum claims analytics

Large Global P&C Insurance and Reinsurance Carrier reduces claims leakage and speeds review with ValueMomentum

A large global P&C insurance and reinsurance carrier sought to reduce claims leakage and improve severity assessment by moving beyond traditional rules-based processes. The company struggled to identify critical risk indicators locked within unstructured documents, relying on inefficient manual reviews. They partnered with ValueMomentum to develop a scalable analytics foundation that could combine structured claim attributes with AI-driven analysis of unstructured content to proactively identify high-risk claims.

ValueMomentum designed and implemented an end-to-end analytics platform on a modern, cloud-native AWS architecture. Their solution used a multi-stage framework with NLP and generative AI, including Claude, to intelligently process data and extract meaningful business signals. This approach reduced the cost and time devoted to manual review, allowing the carrier to proactively detect severity escalation and fraudulent claims. ValueMomentum's solution improved reserve adequacy, reduced claims leakage, and enhanced claims handling efficiency for the insurer.