Financial ServicesAI implementation case study

Financial Services – Regional Credit Union (8 Branches): Loan Origination & Decision-Support AI

Full AI automation for application intake, stipulation chasing, underwriting prep packets, and member communications in mortgage and consumer lending.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

PrimeAxiom replaced lending assembly lines with AI-orchestrated origination where agents handle documents, communications, and structured underwriting prep.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: credit union lending. Size: $1.9B assets, 8 branches. Complexity: HELOC + consumer + indirect auto. Systems: LOS, core, credit bureau hooks.

02 · Challenge

Core problem

Fragmented apps, manual stip tracking, underwriter queue starvation. Member drop-off at document upload.

03 · Approach

Solution

PrimeAxiom built lending orchestration: conversational application assist, document classification, stipulation bots, underwriting summary agents, and compliant member messaging.

04 · Impact

Results

Pull-through +24%; cycle time −33%; processor manual minutes per loan −61%; member satisfaction +18 points.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

Application Agent, Doc Classify Agent, Stipulation Chaser Agent, Underwriting Summary Agent, Member Comms Agent with fair-lending guardrails.

Workflow

How the automation runs

1. Trigger: application start. 2. AI guides required fields. 3. Docs OCR’d and validated. 4. Stips identified; chasers scheduled. 5. UW packet auto-built. 6. UW decides; exceptions logged. 7. Continuous improvement on abandonment points.

Intelligence layer

AI agents and decision logic

Intake Agent, Document Agent, Stipulation Agent, Summary Agent, Compliance Comms Agent.

Under the hood

Technical architecture

Bank-grade VPC, LOS APIs, encrypted storage, LLM with policy filters, human-in-loop on decisions.

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