RP Sanjiv Goenka Group

Sub Industry: Mortgage

US mortgage provider enhances process efficiency by nearly 30% with business outcomes design-led automation

Overcoming manual processing challenges The client faced multi-pronged challenges in its day-to-day lending operations. Predominantly manual processes led to error-prone, ad-hoc processing and segregation of loan documents. In addition, siloed legacy processes and applications resulted in poor visibility and rampant inefficiency. Multiple, unstructured formats and diverse document standards further compounded

Intelligent Automation for mortgage companies

Mortgage companies are under pressure on multiple fronts – from tackling increasing loan volumes to growing consumer expectations for rapid, personalized support. Meeting these requirements demands flexible, agile, scalable operations – one that reimagines processes from front-end customer experiences to back-end operations. While Robotic Process Automation (RPA) – automating simple,

Mortgage lender improves process efficiency by ~30% and elevates customer experience

Key Requirements Re-engineer loan origination processes at the height of a mortgage boom and streamline inefficient lending processes. Itemize elements of the current loan origination process, identify new technology and business processes, and create an orderly plan for modernization. Prepare the client to internalize the technology and assume control of

Digital Debt Collection: An effective collection strategy for the digital age

A Quick Guide on best practices in collections strategies with automated solutions Why is everyone talking about Digital Debt Collection? Consumer debt in the US has increased nearly $2.3 trillion since the peak of the Great Recession in 2009—increasing across almost all debt products to top $14 trillion in 2019.

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