Consumers Credit Union doubles funded deals per funder to over 20 a day with Origence
Consumers Credit Union deployed Computer Vision & Document AI for Document Processing & Automation in Credit Union. As reported by Credit Union Central: 10 to over 20 funded deals per funder per day.
Source-reported figures (cited source: Credit Union Central)
What Consumers Credit Union was trying to fix
Consumers Credit Union, a $2.4 billion credit union in Kalamazoo, Michigan with more than 146,000 members, has long been an established leader in indirect auto lending. Its traditional “stare and compare” approach to reviewing funding packages was creating slowdowns, inconsistencies, and unnecessary staffing costs. That friction had the potential to limit indirect lending growth.
What Consumers Credit Union deployed
The credit union implemented document processing automation (DPA), an AI-powered solution designed to significantly reduce the need for manual document review, in partnership with Origence. The system identifies and sorts over 100 document types used in indirect auto lending, extracts key data from varied formats, and generates a consolidated loan summary for quick review. It also evaluates document completeness and automatically alerts dealers about incomplete documentation, so funders no longer need to open and review every single document.
Results
The average number of funded deals per funder rose from 10 to over 20 per day, with one funder processing 40 deals in a single day, and automated document stacking cut manual processing time by 30%. The team now handles the same loan volume with fewer full-time employees, down from 6.4 to 2.8, for $210,000 in annual savings. Onboarding of new team members was 70% faster, with reduced training time, and automated dealer alerts produced a 13% reduction in funding delays.
Key Takeaways
- Automate the completeness check on funding packages so funders stop opening every document and can focus on exceptions and member service.
- Alert dealers automatically about incomplete documentation so issues are resolved faster and loans keep moving.
- Treat faster, more consistent processing as a way to support growth through indirect lending without adding physical branches.
Evidence for Consumers Credit Union's Document Processing & Automation deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- Credit Union Central
- Last updated
- Source link checked
Explore Related
Details
- Industry
- Credit Union
- Use Case
- Document Processing & Automation
- AI Technology
- Computer Vision & Document AI
- Company Size
- MidMarket
- Company
- Consumers Credit Union
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