Mortgage brokerage · Underwriting
Underwriting knowledge, out of people's heads and into the system
Encoded lender criteria and file standards, now an asset of the firm rather than of individuals
Prepared documents analyzed, checked, and matched before an underwriter opens the file
The situation
The know-how lived in underwriters' heads: which lenders take which deals, what a complete file looks like, which figures matter. Every application waited on a person's time for hours of reading, extraction, and completeness checks before any real underwriting judgment began.
What we did
We encoded that knowledge into the system. AI reads and analyzes application documents, checks files for completeness, and matches applications against lender criteria. It then presents its work to underwriters for double-checking and confirmation, with the reasoning laid out.
The result
Files arrive analyzed, matched, and ready for a decision, so underwriter time goes to exceptions, structuring, and the lending call itself. The firm's lending knowledge now scales and stays, instead of leaving when a senior underwriter does.
Where the knowledge lives now
- Knowledge in senior underwriters' heads
- Encoded into the system
- AI prepares and matches every file
- An underwriter confirms
Facing something similar? We’ll tell you straight whether AI can help.