AI-Driven Portfolio Review Case Study

This case study details the implementation of an AI-powered portfolio review process by a national insurance carrier to address risk management challenges within their legacy book of properties. The document outlines how the carrier faced difficulties due to outdated underwriting decisions and the complexities arising from acquisitions and brand consolidations. To mitigate these issues, the carrier adopted ZestyAI's Z-PROPERTY™ solution, which enabled efficient risk assessment through automated processing. The study describes the three stages of the review process: defining the scope, assessing risk, and acting on high-risk policies. It highlights the results achieved, including a significant reduction in annual losses and a decrease in the loss ratio. The case study emphasizes the importance of continuous monitoring and integration of AI solutions to maintain portfolio integrity and improve operational efficiency. The document serves as a comprehensive account of the strategies employed and the outcomes realized by the insurer.