Inside Consolidated Analytics' hybrid AI model for the future of mortgage operations
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Inside Consolidated Analytics' hybrid AI model for the future of mortgage operations
"We've been fortunate to stay right-sized and ensure the company remains profitable. As AI and automation gained momentum, we recognized the need to invest in technology and process improvement. The mortgage industry has a long history of hiring and firing through every cycle without adopting sustainable automation, and we wanted to break that pattern. We began cautiously with RPA and a few vendor partnerships, but quickly realized many solutions didn't understand the mortgage business well enough to deliver real value."
"Artificial intelligence is rapidly transforming mortgage operations, driving new levels of efficiency, compliance, and innovation, but the key lies in pairing technology with human expertise. In this conversation, Arvin Wijay, CEO of Consolidated Analytics, and Neil Sahota, the Chief Artificial Intelligence Officer, discuss how their organizations are integrating AI across the loan life cycle to create sustainable automation and smarter decision-making."
Consolidated Analytics invested in in-house AI and process improvement to build sustainable automation tailored to mortgage workflows. The company progressed from cautious RPA and vendor trials to developing loanDNA capabilities including document intelligence, income calculators, and a pricing engine that support the loan life cycle. These tools increased operational efficiency, allowing the same staff to handle equivalent volumes and avoiding reactive hiring. Human oversight remains essential to ensure fairness, accuracy, and regulatory compliance. AI adoption is framed as a collaborative process that augments human intelligence, providing adaptable, compliant decision-making and enabling firms to serve clients while remaining stable through market cycles.
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