Case Study: Neighborhood Loans achieves record loan volume with Ocrolus Inspect

Neighborhood Loans reaches record loan volume while maintaining turn times using Ocrolus Inspect

Neighborhood Loans, a rapidly growing mortgage lender founded in 2009, needed a better way to catch document errors before underwriting. Manual checklists often let mismatches such as incorrect Social Security numbers and missing bank statements slip through, leading to borrower follow-up, delays, and slower closings. The company turned to Ocrolus and its AI-powered Inspect product to streamline document review and income-related data checks.

With Ocrolus Inspect, Neighborhood Loans automatically flags discrepancies between borrower documents and Encompass® 1003 application data, helping teams resolve issues early in the workflow. The result was record growth: Neighborhood Loans reached 1,000 loans in a single month, maintained fast turn times, reduced underwriting conditions and unnecessary borrower requests, and avoided additional hiring while scaling operations.

Neighborhood Loans

Paola Patino

Regional Processing Manager