Case Study: Class Act Federal Credit Union improves auto loan automation and reduces bad rates with Scienaptic AI

Enhancing Credit Access to Local Educational Communities

Class Act Federal Credit Union, a financial institution serving educational communities, faced challenges with its manual underwriting processes and reliance on legacy credit scores. These limitations restricted the credit union's ability to expand its member base and approve more thin-file applicants without increasing risk. Seeking a solution, Class Act partnered with Scienaptic AI to enhance its credit decisioning.

Scienaptic AI implemented its intelligent decisioning cloud platform, which leveraged AI and alternative data to create a more accurate and automated underwriting model. The solution integrated seamlessly with Class Act's existing Symitar loan origination system. This partnership resulted in a 50% automation rate for auto loans and a 25% reduction in bad rates, allowing Class Act to approve more members safely and efficiently.

Class Act Federal Credit Union

Stephen Green

Vice President of Lending