Case Studies

Increasing Approvals Without Adding Risk At Altra Federal Credit Union

Altra FCU was in the process of building a new digital lending platform and was looking to automate more of its auto lending decisions, reducing the amount of human interaction from application to approval. Other key goals were to give members better service and say yes more often without adding risk. Working with Zest, Altra built a new AI-based underwriting model, trained and validated on 50 months of prior loans. The team parsed thousands of raw bureau variables to select nearly 150 that predict delinquencies with far higher accuracy in a fully automated decisioning process. The results were impressive, 22% increase in approvals with no added risk and a fourfold increase in its auto-decision rate.