3 ways AI is transforming mortgage lending workflows

Mortgage lenders face unrelenting pressure to lower origination costs while giving borrowers a near‑instant, digital experience. Yet many teams still rely on manual document review and spreadsheet‑driven income calculations that slow decisions and frustrate applicants. Today, forward‑thinking lenders are deploying Ocrolus, the AI‑powered data and analytics platform, to replace repetitive stare‑and‑compare tasks with automation that delivers speed and certainty.

Below, three lenders show how AI is already reshaping mortgage operations.

American Federal trims touches and speeds decisions

American Federal Mortgage built a national footprint over three decades, but its manual document indexing became a performance bottleneck. Each file required underwriters to rename and classify dozens of PDFs, delaying clear‑to‑close timelines.

Integrating Ocrolus’ automated document indexing inside the lender’s Encompass® LOS, saving 2 hours per loan and cutting underwriter touches by 6%. Total time an underwriter spends in file dropped 29%, freeing staff for higher‑value credit analysis.

“Ocrolus will let us surface exceptions earlier so processors can resolve issues before the file reaches underwriting,” said Andrew R. McElroy, Senior Vice President at American Federal Mortgage.

Click here to read the full story behind American Federal Mortgage’s success.

Neighborhood Loans slashes income calculation time

Neighborhood Loans stakes its reputation on transparency and service. Manual income worksheets, however, forced underwriters into a half‑day of back‑and‑forth verification.

Ocrolus automated income calculation converts pay stubs, W‑2s and bank statements into auditable, guideline‑ready outputs for FHA, VA and conventional loans. Processing time fell about 90%, from more than four hours to 30–40 minutes per file.

Click here to read the full story behind Neighborhood Loans’ success.

HomeTrust Bank gains consistency and savings

Community lender HomeTrust Bank once spent four hours every week renaming borrower documents. The bank adopted Ocrolus classification and income tools, seamlessly integrated with Encompass, to standardize naming and indexing.

The results: 8,500 staff hours saved annually and $90,000 in processing expense avoided. With routine work automated, loan teams now focus on cultivating borrower relationships and ensuring compliance.

Click here to read the full story behind HomeTrust Bank’s success.

Ready to streamline your underwriting operations? Book a demo to see how Ocrolus can modernize your mortgage workflows.

Key takeaways

• AI in mortgage lending removes manual bottlenecks such as document indexing and income spreadsheets
• Mortgage automation reduces file touches, driving faster borrower decisions and stronger customer satisfaction
• Ocrolus clients report double‑digit cuts in underwriter time in file and six‑figure annual savings
• Early exception tracking with Ocrolus Inspect helps lenders resolve issues before underwriting begins