Case Study: a national P&C third party administrator reduces claims costs with Gradient AI Risk Ranking

National P&C Third Party Administrating Company - Customer Case Study

A national property and casualty third-party administrator was facing challenges in reducing claims costs and needed to better identify high-risk workers' compensation claims early to improve outcomes. To address this, they partnered with Gradient AI and implemented its Risk Ranking for Workers' Compensation Claims solution.

Gradient AI's solution integrated with the client's systems to analyze claims data and unstructured text, providing early warnings on claims likely to become high-cost. This allowed for targeted interventions. As a result, the administrator achieved significant savings; total closed claim costs were reduced by $8.6 million in the first year and by $17.4 million in the second year, demonstrating the measurable impact of Gradient AI's product.