Loan processing that scales with volume.
Shimworks hands the repetitive parts of loan processing to AI, so lenders can add capacity when rates fall and shed cost when they rise, without hiring or layoffs.
What AI can do now
Until recently, software could only automate work that arrived as clean, structured data. Loan files don’t: they’re scanned pay stubs, photographed bank statements, and long email threads. Today’s AI models can read those documents, write clearly, and apply well-defined rules, which puts a large share of processing work within reach:
- Borrower follow-up: the repetitive emails chasing the same documents.
- Document intake: pulling documents from email and filing them in your LOS.
- Non-QM income calculation: parsing bank statements and applying underwriting rules.
- File review: scanning for missing information and anomalies.
Our approach
We move that work to AI so your processors can focus on the parts of the file that need their judgment. Each loan costs less to process, and capacity scales up or down with volume instead of headcount.
The design partnership
We start with a one-week engagement to prove the savings on your own pipeline.
- Your time
- Two to three days with one of your loan processors, so we can watch them work and learn the specifics of your pipeline.
- The week
-
- Days 1–3: audit your pipeline and estimate the time each task could save.
- Day 4: agree on one task to hand to AI, with success criteria and metrics.
- Days 5–7: build it and measure the cost savings.
- What you get
-
- A written list of automation opportunities in your pipeline
- A working automation for one task, with a measured cost-savings number
- A permanent discount on the product, as a percentage of COGS