Mortgage Lenders Overlook Workflow Governance for AI

Mortgage lenders are continuing to invest in artificial intelligence, automation, and digital transformation initiatives, even amidst persistent cost pressures. However, many of these organizations are not realizing the expected returns on their investments. Larry Bailey, CEO of Mortgage Workflow Partners, stated that the primary issue is not the technology itself, but rather the common practice of implementing new tools before thoroughly understanding the existing workflows they are intended to enhance.

Bailey explained that successful mortgage companies first establish best-practice workflows and then align technology to support these established processes. Without clear documentation of ownership and governance, technology projects can lose focus and fail to deliver the anticipated operational improvements. He highlighted that companies often assume their technology projects are successful simply because new tools have been implemented, but this implementation does not equate to achieving meaningful return on investment for mortgage AI.

A significant blind spot identified by Bailey is the "threshold problem," which describes the discrepancy between what parties know about themselves and their understanding of each other. This issue is particularly prevalent when lenders fail to fully comprehend their own workflows or when no single entity truly owns them. In such cases, new technology is often applied over inefficient processes, leading to a lack of substantial improvement.

Bailey advocates for mortgage workflow governance to be recognized as a critical competitive advantage. He suggests that institutional knowledge can inadvertently create hidden operational risks. Therefore, lenders are advised to meticulously map their existing processes before acquiring new technology solutions. This foundational step ensures that technology investments are strategically aligned with operational needs, rather than being a superficial addition to inefficient systems.