The journey of traditional mortgage encompassing consulting processing to mortgage automation has been a long and evolving one. Traditional mortgage processing involves a lot of paperwork, manual data entry, and manual processing of loan applications. Mortgage automation, on the other hand, uses technology to streamline the mortgage process, making it faster, more accurate, and more efficient.
Here is a brief overview of the journey from traditional to mortgage automation:

Paper-based processing: The traditional mortgage process involved filling out paper forms, submitting physical documents, and manually reviewing and processing the application. This process was slow, error-prone, and required a lot of manual labor.

Digital processing:As technology advanced, the mortgage process became more digitized. Applicants could submit forms and documents online, and lenders could use software to process mortgage custom applications more efficiently. However, much of the process still relied on manual data entry and processing.

Automation of underwriting:With the advent of machine learning and artificial intelligence, mortgage automation took a major leap forward. Lenders began using algorithms and predictive models to automate the underwriting process, which allowed them to analyze vast amounts of data and make more accurate lending decisions.

End-to-end automation:Today, the mortgage process is becoming increasingly automated from start to finish. Borrowers can apply for a mortgage online, submit documents electronically, and receive automated updates on the status of their application. Lenders can use automated tools to process mortgage custom applications, underwrite loans, and even fund mortgages without any human intervention.

Overall, mortgage automation has helped streamline the mortgage custom application process, reducing the time and cost of processing applications, while also improving accuracy and reducing the risk of fraud. As technology continues to advance, it's likely that the mortgage process will become even more automated in the years ahead.