Case Studies/Apex Financial
Fintech

Apex Financial

From 14 days to 38 hours — loan processing, reimagined.

apexfinancial.com/dashboard

0%

Faster Processing

$0.0M

Annual Savings

0

Analysts Reallocated

0.0/5

Customer Satisfaction

[ THE PROBLEM ]

What was broken

Apex Financial was drowning in manual loan applications. Their team of 40 analysts processed each application by hand — verifying documents, cross-referencing credit data, and writing risk assessments. Average turnaround: 14 business days. Customers were leaving for faster competitors.

[ THE SOLUTION ]

How we fixed it

We deployed a multi-agent system that handles the full pipeline: document extraction via OCR + LLM parsing, automated credit scoring with real-time data feeds, risk assessment through a fine-tuned model trained on 5 years of Apex's historical decisions, and human-in-the-loop escalation for edge cases. The system integrates directly with their existing Salesforce and banking APIs.

Custom LLM AgentsOCR PipelineSalesforce APIReal-time Credit ScoringPythonFastAPI

[ THE RESULTS ]

What changed

  • Loan processing reduced from 14 days to 38 hours average
  • Team reallocated 28 analysts to high-value advisory roles
  • $1.2M saved in operational costs in the first year
  • Customer satisfaction score jumped from 3.2 to 4.7 out of 5

GESHER.AI didn't just automate our process — they fundamentally rethought how loan approvals should work. Our team now focuses on what humans do best: building relationships.

Rachel Simmons

VP of Operations, Apex Financial

Want results like these for your business?