Case Study
Mortgage banker compresses loan applications from hours to minutes
Results
5min
Cut loan processing time from 45 to 5 minutes
5mo
Recouped investment in under 5 months
95%
Reached 95% document classification accuracy
Company Profile
Privately held US West-coast mortgage banker offering full-service origination, funding, and loan servicing across a multi-state branch network. Specializes in entry-buyer lending, with notable depth in down-payment-assistance program partnerships with state and local agencies. Operates at high paperwork density under residential mortgage finance regulation, where compliance pressure on file integrity is unrelenting and forms shift constantly.
Challenge
Loan files buried operations at high volume
Paperwork was burying the operations team. Loan files routinely topped seven hundred pages, and the firm was producing more than four million pages of documentation each year across over two hundred distinct document types. Identifying and indexing every page by hand had become its own cottage industry, costing real time and real money.
Regulations and forms kept shifting. The team needed an intake process that could keep classification accurate while volumes grew, without constantly adding headcount to a back office that was already stretched.
Solution
Bar-coded intake paired with high-throughput document classification
The firm deployed a loan-file intake and classification capability paired with high-throughput production scanning. Bar-coded forms went through the scanning layer; the classification engine compared each image against a defined library of document types and applied a confidence-scored classification to every page. Classification accuracy hit the team’s target within the first cycles, and loan-application processing dropped from a roughly hour-long exercise to near-instant routing.
IT staff could now define new document types in-house, keeping pace with shifting regulations and forms without outside specialists. The structured, attribute-rich documents also feed downstream agentic automation directly, setting up end-to-end loan-file orchestration.
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