How We Reduced Credit Approval Time from 3 Days to 15 Minutes Using AI
Marcos Rebitte
Lead Consultant
For a regional credit union, manual underwriting was vital for risk management but terrible for customer experience. Approvals took 3-5 days. We implemented an AI-driven decision engine that cut this down to 15 minutes while maintaining strict risk controls.
The Model
We trained a machine learning model on 5 years of historical loan data. The model learned to identify patterns that human underwriters often missed, both for approval and rejection.
- 1.Analysis of 50,000+ historical loan applications
- 2.Feature engineering for non-traditional credit data
- 3.Bias detection and mitigation algorithms
The Results
The result was a hybrid system. The AI auto-approves clear 'yes' cases (about 60% of volume) and auto-rejects clear 'no's. The grey area cases are flagged for human review, with AI generated notes highlighting the risks.
- 1.60% auto-approval rate
- 2.3-day turnaround reduced to 15 minutes
- 3.Underwriters focus only on complex cases
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Marcos Rebitte
Lead Consultant
Marcos Rebitte is an entrepreneur and technology consultant with over 20 years of experience in technology and automation. Based in Myrtle Beach, SC, he is multilingual and combines international business experience with deep technical expertise.
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