Case Studies/Apex Financial Group
FinTech

From 3 Hours to 4 Minutes: AI-Powered Loan Underwriting

An AI underwriting engine that processes key data points and generates compliant decisions in minutes — saving $185K annually.

Apex Financial Group14 weeks2025
From 3 Hours to 4 Minutes: AI-Powered Loan Underwriting
4 min
Processing Time
down from 3+ hours
Throughput Increase
without new hires
$185K
Annual Savings
in operational costs
97.8%
Accuracy Rate
decision accuracy

The Challenge

A regional lending firm was manually reviewing 15–20 loan applications per day. Each underwriter spent 3+ hours per application cross-referencing financial data, running credit checks, and completing compliance documentation. The bottleneck was limiting how many loans they could close each month.

Our Solution

We built an AI-powered underwriting engine that ingests data from multiple sources simultaneously, applies risk models trained on historical decisions, and generates a compliant decision package in under 4 minutes — with human oversight reserved for edge cases only.

Implementation Approach

  1. 1Risk scoring model trained on historical underwriting data
  2. 2Real-time bureau and bank data integrations via API
  3. 3Compliance automation layer for regulatory requirements
  4. 4Human-in-the-loop review queue for flagged applications
  5. 5Audit trail and explainability dashboard for reviewers

“Intelluna didn't just build us software — they fundamentally changed how we operate. The AI underwriting engine paid for itself within the first year.”

Marcus Hendricks
CTO, Apex Financial Group

Project Details

ClientApex Financial Group
IndustryFinTech
Duration14 weeks
Year2025

Services Used

AI & Machine LearningCustom Software DevelopmentSecurity & Auditing

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