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Independent Analysis of AI Completed

Loan Originations

Black Knight, Inc., a provider of integrated software, data, and analytics to the mortgage and real estate industries, announced the completion of an independent analysis of the real-world impact of the company’s artificial intelligence (AI) solution, AIVA. 

Using actual findings from the operations of a top 50 lender in Q4 2018, MarketWise Advisors, LLC—a management consulting firm focused on technology in the financial services industry—found that using AIVA can significantly drive down the cost of mortgage originations. 

The study identified a savings of up to $437 per originated loan, with the cost impact continuing to grow significantly as AIVA’s machine learning and unique pattern recognition capabilities mature to include more skills.

“Through the independent analysis of an unbiased third party, we have been able to show that lenders can expect to see significant savings by incorporating AIVA into their origination process,” said Anthony Jabbour, CEO of Florida-based Black Knight. “Leveraging AIVA results in significant cost savings, provides the ability to redirect tens of thousands of man hours to items more focused on satisfying customers and produces a return on investment nearing 500%.”

MarketWise’s approach included reviewing existing processes, as well as a time-and-motion study and on-site lender employee interviews to evaluate the time and cost reductions associated with leveraging AIVA in key areas of the origination process. 

MarketWise also evaluated AIVA’s income, asset, insurance and file intake review skills and found that the associated process improvements decreased the cost of origination by up to $437 per loan, with an average annual projected financial impact of $3.13 million for the top 50 lender in the study, but the results will vary for each lender. In addition to the direct cost savings, the study found that AIVA also produces significant indirect impacts, including reduced error rates and increased loan quality, consistency and compliance. The projected average annual return on investment was 483% for this lender, meaning that for every dollar invested in the technology, the expected financial impact is a return of $4.83, a figure that will exponentially increase as AIVA’s skills evolve to incorporate more complex tasks.

“At Black Knight, we remain focused on bringing innovative solutions to market that help our clients increase revenue, efficiency and compliance,” said Jabbour. “AIVA checks all of these boxes. AI and machine learning represent a transformational shift for the mortgage industry, and Black Knight is proud to be leading the charge.”

About Author: Mike Albanese

Mike Albanese is a reporter for DS News and MReport. He is a University of Alabama graduate with a degree in journalism and a minor in communications. He has worked for publications—both print and online—covering numerous beats. A Connecticut native, Albanese currently resides in Lewisville.
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