Santa Clara, Calif. – Primary Residential Mortgage, Inc. (PRMI) has achieved a 75% gain in operational efficiencies following the nationwide deployment of Tavant’s TOUCHLESS® AI Mortgage Automation Platform, the companies announced today.
The platform automates much of the mortgage process, from initial application through to the “clear-to-close” stage, resulting in a reduction of underwriting time from three hours to under one hour per loan, according to PRMI. The gains are enabling PRMI staff to focus on more complex loan products as volume increases.
“Tavant’s continued partnership and collaboration have been instrumental in PRMI’s transformation,” said Corban Wells, Vice President of Technology Management at PRMI. “With TOUCHLESS®, much of the process is automated, generating substantial savings in time and resources, as well as increasing the accuracy of every loan file in the Touchless workflow. Tavant functions as a true extension of our team. Their in-depth knowledge of the mortgage industry and hands-on experience were instrumental in supporting change management and adoption across our entire company for this AI Automation Platform.”
The implementation of TOUCHLESS® has shifted underwriters to an exception-based review model, concentrating their efforts on higher-risk scenarios rather than routine checks. Loan officers are benefiting from cleaner files, real-time pre-underwriting document analysis, and fewer condition cycles, according to the companies.
“PRMI’s immediate success with TOUCHLESS demonstrates the impact of AI-powered automation,” said Hassan Rashid, President of Fintech at Tavant. “They are now seamlessly scaling quality and consistency across every branch, even as empowering their teams to focus on complex loan scenarios where human-in-the-loop expertise and judgement matter most.”
The platform also provides a traceable, explainable, and auditable record of every action and AI-powered decision, aligning with PRMI’s compliance standards and guidelines set by government-sponsored enterprises (GSEs).

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