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Mortgage lenders face scrutiny risks as they add AI to loan workflows
The Mortgage News Daily piece argues that AI systems used in lending must be able to explain decisions, and that lenders also need current AML risk assessments and independent reviews to avoid exam findings.
Mortgage News Daily highlights a push by mortgage lenders to add AI to their loan processes, but warns that simply deploying AI without the ability to explain how decisions are made can create regulatory risk. QAwerk founder Konstantin Klyagin is cited arguing that an AI agent that cannot justify its own decisions is not a shortcut, but a liability that regulators can uncover during oversight.
The outlet also points to compliance basics that some lenders may be overlooking as they pursue AI-enabled efficiency. It notes that examiners can flag lenders that have not completed internal AML risk assessments or independent reviews, and it lists updated AML program pillars including a current AML policy, a current risk assessment, and ongoing independent review.
Mortgage News Daily links these themes to broader lending conditions, saying household debt reached a record $18.8 trillion in Q1 2026 while pending home sales rose 3.2% year over year. The piece adds that borrowers can be held back by factors like debt-to-income ratios that are only slightly above thresholds or credit histories still in progress, and argues that lenders need a complete view of that borrower profile.
In the middle of the discussion, the article references rising loan production costs, saying the cost was once below $11,000 but is now higher. It concludes by emphasizing tools and workflows, including AI, that can better support both borrower qualification needs and regulatory scrutiny.