Case Study: Neighborhood Loans cuts processing time by 90% with Ocrolus

A Ocrolus Case Study

Preview of the Neighborhood Loans Case Study

Neighborhood Loans reduces processing time by 90% with Ocrolus AI

Neighborhood Loans, a rapidly growing mortgage lender, struggled with slow, manual document indexing and income analysis that made loan processing tedious and time-consuming. By partnering with Ocrolus and its AI-powered data and analytics platform, the team aimed to automate document handling and streamline income calculations.

Ocrolus automated document indexing in Encompass® and simplified income calculation across FHA, VA, conventional, Fannie Mae, and Freddie Mac guidelines, creating a much faster workflow. As a result, Neighborhood Loans cut processing time by about 90%, reducing per-file turnaround from more than half a day to just 30–40 minutes while improving accuracy, lowering costs, and freeing staff to focus on customer relationships and growth.


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Neighborhood Loans

Esperanza Timothee-Lorda

Regional Processing Manager


Ocrolus

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