"The first milestone was moving away from spreadsheets and homegrown systems. In the early 2000s, many lenders were still relying on highly manual processes to manage audits. These approaches weren't scalable and left too much room for human error and inconsistency. The introduction of configurable platforms gave lenders a better way to enforce sampling rules, ensure consistency in audits and improve reporting."
"We also saw a shift in how organizations approached QC from a staffing and ownership perspective. The next turning point came with the rise of web-based QC systems. These solutions gave lenders the flexibility to work securely across locations and teams, which became especially important as remote work increased. Over time, more automation was added, like dynamic checklists and rules-based logic, which helped streamline the auditing process and reduce repetitive tasks."
Mortgage quality control evolved from manual, spreadsheet-based audits to configurable platforms that enforced sampling rules and improved reporting. Web-based QC systems enabled secure, distributed work across locations and supported remote teams. Automation introduced dynamic checklists and rules-based logic to streamline audits and reduce repetitive tasks. Regulatory expectations prompted standardization through built-in questionnaires, certification programs and shared best practices, elevating QC into a strategic function. Artificial intelligence represents the next phase, moving QC beyond automation into intelligence and enabling audit teams to work faster, uncover deeper insights, enhance loan quality and reduce risk.
Read at www.housingwire.com
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