Loan documents reviewed 12 times faster
A lending company with a 40 person team
The problem
Where it hurt.
Each application came with 15 to 30 pages of documents. Reviewers spent about three hours per file typing details into the system, and the queue grew every month end.
What we built
The system.
- 01Read every document and pulled out names, income, IDs and amounts
- 02Checked the details against the lender's own rules
- 03Flagged mismatches and gaps for a person to review
- 04Filed everything in the existing system, so there was no new tool to learn
The result
15minper application, down from 3 hours
100%of decisions still approved by a person
6wkfrom audit to live
Representative engagement. Client name withheld under NDA. Figures are typical of results at this type of company.
What it means for you
Then came the growth.
Getting the hours back was the first win. It also freed the team to look outward: to take on more work, answer more customers and try things they had not had time for. That is how a single automation becomes a growth plan.
Running something similar? See how we approach AI for finance and markets or read about our ai automation service.
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