Celent, a global research and advisory firm for the financial services industries, named The Loan Store’s (TLS) end-to-end mortgage automation initiative a Model Bank Award winner for Lending Innovation. The Model Bank Awards recognize best practices of technology usage —and artificial intelligence in particular— across the globe. To win, mortgage lenders and banks must demonstrate clear business benefits, innovation, and implementation excellence.

The award recognizes best practices in applying technology across the areas most critical to banking success. It validates a core thesis: mortgage operations can scale without proportional
headcount growth when AI and automation are engineered to support mortgage professionals, helping them work more efficiently, and not replacing them.

TLS earned the recognition for its incremental deployment of MOZAIQ’s Loan Assist platform, which applies agentic mortgage AI to automate loan setup and drive its income, credit, title, appraisal, and asset analyzers—autonomously extracting and validating data across loan documents and the LOS against configurable business rules, lender product guidelines, and agency (GSE) guidelines. Over the past two years, Loan Assist has helped TLS scale from approximately $10 million to more than $2 billion in monthly originations (a 200-fold increase in volume), reduce its cost per loan by up to 40%, and climb into the top four U.S. wholesale
lenders.