Favicon of Zest AI

Truliant Federal Credit Union

Truliant Federal Credit Union automates 77% of personal loan approvals with Zest AI underwriting

Curated & reviewed by Peter Korpak, Founder & Chief Analyst, 100SignalsHow we verify
77%Personal Loan Approvals Automated
68%Direct Auto Loans Automated
2-3xIncrease in Instant Approvals

Vendor-reported figures — source: www.zest.ai

The Challenge

Truliant was expanding rapidly, adding nine branches across Virginia and the Carolinas while keeping the same underwriting team. They needed to handle upwards of 30,000 loan applications per month without proportionally growing headcount. They also sought to remove unconscious bias from decisioning and fulfill their CDFI mandate to serve underbanked communities.

The Solution

Truliant partnered with Zest AI to deploy AI-automated credit underwriting across auto, personal loan, credit card, and home equity portfolios. The implementation used MeridianLink as the LOS and Equifax as the credit bureau, with Zest's LuLu generative AI lending intelligence platform layered on top for real-time insights.

Results

Truliant achieved a 2-3x increase in instant approvals and automation across their portfolios. They automated 68% of direct auto approvals, a meaningful portion of indirect auto approvals, 77% of personal loan approvals, and a significant share of credit card approvals. Loan decisioning time dropped from six hours exponentially, while delinquencies also fell.

Key Takeaways

  • AI-automated underwriting enables credit unions to scale loan volume without scaling headcount, preserving resources for complex or high-touch member cases.
  • Responsible AI can advance financial inclusion: Truliant used efficiency gains to fund CDFI initiatives combating payday lending in underserved communities.
  • Removing model bias and improving speed simultaneously is achievable — faster decisions and fairer outcomes are complementary, not competing, goals.

Share:

Vendor

Favicon of Zest AIZest AI

Details

Industry
Credit Union
Company Size
MidMarket
Quality
Curated
Last verified
Jul 28, 2026

Have a similar implementation?

Share your customer's AI results and link it to your vendor profile.

Submit a case study →