 |
Careers  Contact |
    |
|
 |
A Wholesale Mortgage Lender Sustains Growth Through Improved Integration of Automated UnderwritingThe client, one of the country's fastest growing wholesale mortgage lenders, was experiencing unacceptable turn-times for loan approval due to a workflow bottleneck at it's automated underwriting system (AUS). The existing system was serial (i.e., users were required to wait for AUS responses before executing another request), isolated (i.e., not integrated into existing systems), required data re-entry, and had a non-intuitive user interface. After an unsuccessful attempt to create an in-house automated underwriting system, the client’s senior management turned to West Pole to help reduce turn-time, increase productivity, and improve data quality. Rapid Development and Rapid Scaling West Pole deployed an agile roadmap for replacing the third-party interface to the core AUS (Loan Prospector). Contextual interviews and participatory design led the design of an improved user interface. Information flow analysis led the integration of existing enterprise data into the AUS and, most importantly, throughput requirements led to the architecture of an asynchronous, networked conduit to eliminate AUS data entry as a bottleneck. An iterative deployment approach supported implementation of additional features (e.g., a business rule layer) while simultaneously delivering business value. Running with a Bigger Pipe The client saw immediate improvements in turn-time and productivity. Mortgage broker customers were receiving approvals in one to two days rather than in a week or more. Underwriter access to the AUS was increased from four desktop licenses to an unlimited number of internal users. Moreover, AUS submissions were no longer dependent on system responses to previous submissions, thus allowing for greater underwriting productivity. Finally, West Pole delivered an AUS platform to the client over which the client had complete control and that supported the future addition of value-added features for continuous process optimization. |
 |
 |
