Loan Processing MVP
A product thesis for evidence-linked, human-controlled mortgage processing.
- Format
- Working product
- Length
- 43 seconds
- Data
- Synthetic
One file, start to handoff. Sound on
Controls visible
Breaking Down AI-Powered Mortgage Processing
Mortgage processing is manual, document-intensive, and tedious. It has humans involved at nearly every step, but it is critically important to the underwriting process.
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01
The Status Quo
Documents arrive across fragmented systems, evidence is checked and rechecked by hand, and exceptions are poorly tracked through email and loan processor annotations.
Yet all of this needs to happen seamlessly, with a clear audit trail and without errors, for a loan to get processed.
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02
What AI Handles
AI can automate nearly every operational step in this process. At first, people stay in the loop to validate the work and solve edge cases. Over time, that manual feedback becomes training data for custom models and agents.
AI can aggregate and put together all the information, extract information from physical and digital documents, reach out to borrowers to fill in gaps, and package everything up for underwriting teams. The final decisions still belong to people.
The Potential
The data needed here already lives in consumer systems with low NPS. It is becoming easier than ever to integrate with those systems and pull the data—with the user’s permission—without asking the user to do manual work.
That removes as much friction as possible from the mortgage process. For example, a system like Plaid could give us real-time checking and banking data without another round of annoying document uploads.
The product is clickable. Take the file from queue to underwriting handoff.
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