Zest AI
30 Case Studies
A Zest AI Case Study
All In Credit Union needed faster, smarter loan decisions to improve the borrower journey. Using Zest AI’s decisioning solution, the credit union sought to move well beyond an auto-decisioning benchmark of roughly 15% so members could receive immediate decisions and staff could spend more time on member service.
Zest AI implemented its AI-driven credit decisioning, enabling more than 75% auto-decisioning (up from ~15%), an 18% increase in approvals with no added risk, and about $1M in profit gain per annual vintage. With Zest AI’s solution most members now get immediate decisions and staff time is freed to engage members and deliver better service.
Todd Peeples
SVP Sales & Lending Administration