Case Study: a multi-billion dollar US insurer doubles STP applications with Gradient AI

Multi-Billion Dollar US Commercial Line Insurer Company - Customer Case Study

A multi-billion dollar US commercial line insurer sought to significantly increase the percentage of its small commercial policies handled by straight-through processing (STP) to reduce manual effort. The company needed to maintain or improve its loss ratios while accurately predicting policy risk levels for this higher volume segment. To meet this challenge, they partnered with Gradient AI and implemented its STP machine learning solution.

Gradient AI's solution leveraged a loss prediction model trained on the insurer's historical data and its own vast proprietary datasets. The model scored applications, and those below a specified risk threshold were automatically processed and bound without manual intervention. As a result, Gradient AI helped the insurer double the number of applications handled by STP and reduced loss ratios by over 10%, enabling the business to scale with less friction and expense.