At Sourcepoint, we understand that RPA has the potential to change the way lenders do business. When done right, RPA drives down costs and improves efficiencies, helping organizations achieve their strategic business objectives. Experts from our Process Excellence and Business Transformation teams work with clients to identify manual, high-volume, repetitive processes that are the best fit for automation, and combine this with skilled human resources at critical decision points. Our Center of Excellence (CoE) is led by an RPA expert and staffed by experienced developers who have automated as many as 40 complex processes in less than a year. The COE:
Sourcepoint takes a structured approach to RPA development covering four distinct stages: Develop Automation Strategy, Mobilize (gather sponsor approval), Realize (prepare statement of work), Operate, and Grow (ensure self-sustaining capability). Our process design and domain experts drive implementation, scale up, monitoring, maintenance, and change management to ensure rapid adoption with minimal business disruption.
The result: improved productivity and scalability, shorter training cycles and onboarding, streamlined compliance processes, reduced human errors and handle times, better cost efficiencies, and round-the-clock operations.
A Top 10 residential lender’s loan audit processes were plagued by several challenges. They were highly manual, time-consuming, and error prone. The client wanted to partner with an experienced vendor who could provide a robust solution to address the challenges and deliver high quality services.
Sourcepoint adopted a hybrid model to develop a cost effective and efficient solution. To extract information, we incorporated high-end OCR to retrieve accurate information from the loan documents.
Next, we used an automation tool to update the information on the client’s Loan Origination Software (LOS) and create alerts for discrepancies.
Sourcepoint helped the client automate high volume, repetitive tasks in its loan set-up, guaranteeing complete data accuracy and improving agent productivity by 250%.
improving agent productivity
data accuracy across processes
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