Mortgage Lenders Advised to Prioritize Business Problems Over AI Tech

Mortgage lenders are being urged to prioritize identifying and solving specific business problems before adopting artificial intelligence (AI) technologies. This guidance comes from industry experts who spoke at HousingWire's AI Summit on Tuesday. Amanda Tucker, chief risk and compliance officer at Atlantic Bay Mortgage Group, and Michael Crockett, chief operating officer at Xactus, highlighted that the increasing availability of AI tools in the mortgage market can create confusion for lenders regarding where these technologies can genuinely add value. Tucker emphasized the critical distinction between a business problem and an AI solution, stating, "The first thing that we are focused on is what is the business problem that we’re trying to solve versus what is the AI solution." This focus is particularly crucial when AI applications are consumer-facing or involved in making significant decisions. Lenders must thoroughly understand the control mechanisms of any AI technology they implement and ensure their employees receive adequate training. Crockett further elaborated that the implementation of AI does not negate the necessity for human oversight or adherence to regulatory compliance. Automated decision-making processes remain subject to fair lending regulations and other statutory requirements, necessitating continuous monitoring of AI systems as data inputs and underlying models evolve. He cautioned against the common misconception that adopting AI will eliminate compliance burdens, stating, "Most will say once we implement and adopt AI, then they expect that the compliance component goes away. That’s not the case." The most immediate and practical applications for AI in the mortgage sector are likely to be found in automating repetitive, manual tasks that currently consume significant employee time. Atlantic Bay Mortgage Group, according to Tucker, is exploring how AI can facilitate business growth without necessitating an increase in headcount. The objective is to empower employees by freeing them from time-consuming tasks, allowing them to concentrate on customer engagement, strategic decision-making, and higher-level analytical work. Potential use cases for AI include the review of legal documentation, analysis of vendor contracts, interpretation of mortgage guidelines, and enhancement of quality control and compliance monitoring processes. Tucker stressed that AI is intended to augment, not replace, human capabilities in these areas, enabling faster information processing and more in-depth analysis. Lenders are encouraged to pilot AI solutions on a small scale over a few days, especially for non-critical functions, to assess their effectiveness and identify potential challenges before broader deployment.