Case Study: a P&C insurance company reduces manual reviews and boosts agent propensity with ForMotiv

P&C Insurer Monitors Agent Behavior and Benchmarks Agencies with Behavioral Intelligence

A publicly-traded P&C insurance company was struggling with a lack of visibility into its large captive agent base. Their agent support and underwriting teams were spending over 10,000 hours on manual policy reviews, resulting in high loss ratios and millions in operational costs. To address this, they partnered with ForMotiv and implemented its Behavioral Intelligence solution.

ForMotiv deployed its solution in a three-phase operational model: Collect, Detect, and Predict. This allowed the client to identify risky agent behaviors, improve efficiency, and build predictive models. The results were significant, including an 8.39% lift in agent propensity models and a 27.81% reduction in manual reviews. The time to trigger a manual review for new problem agencies was also reduced from eight months to three, saving substantial operational costs for the insurer.