Skip to content
Artificial intelligence

Document intelligence for a lending operation

RAG and extraction pipeline over loan applications, bank statements and collateral documents — with human review for edge cases.

Licensed microfinance institutionClient
2025Year
View disciplinePrimary service
92%fields auto-extracted
6 minaverage review time
4xfiles per analyst

Challenge

Credit analysts spent most of their day re-keying data from PDFs and scans. Turnaround time was the bottleneck, not credit policy.

Solution

Custom extraction models plus a review UI that highlights confidence scores, flags missing fields and routes low-confidence pages to analysts with one click.

Results

  • Average application review time fell from 28 minutes to under six
  • Analyst throughput quadrupled without adding headcount
  • Model evaluation suite catches regressions before each release

Stack

PythonLangChainPostgreSQLReactAzure OpenAI

Want outcomes like these?

Tell us what you are building. We will tell you honestly if we are the right team for it.

Start a conversation