Truliant Federal Credit Union automates 77% of personal loan approvals with Zest AI underwriting
Truliant Federal Credit Union deployed Machine Learning & Predictive Analytics for Credit Underwriting & Lending in Credit Union. As reported by www.zest.ai: 77% personal loan approvals automated.
Source-reported figures — cited source: www.zest.ai
What Truliant Federal Credit Union was trying to fix
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.
What Truliant Federal Credit Union deployed
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.
Evidence for Truliant Federal Credit Union's Credit Underwriting & Lending deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.zest.ai
- Last updated
- Source link checked
Vendor
Details
- Industry
- Credit Union
- Use Case
- Credit Underwriting & Lending
- AI Technology
- Machine Learning & Predictive Analytics
- Company Size
- MidMarket
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