RP Sanjiv Goenka Group

Sub Industry: Mortgage

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US mortgage provider enhances process efficiency by 30% with automation

The challenge: Overcome inefficiencies due to manual processes One of the US’ largest mortgage companies faced multiple 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.

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,

PE-owned mortgage lender achieves $24M cost savings with right-shore operations

The challenge: Clearing massive backlogs while improving efficiencies The client is a private-equity-owned leading US lender that operates in 50 states and supports multi-channel lending. They had a backlog of more than 20,000 loans awaiting issuance of post-consummation CDs and TRID review by the CFPB and state auditors, posing significant

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

A quick guide on best practices in debt recovery with automated solutions Why is everyone talking about Digital Debt Collection services? 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

Mitigating the COVID-19 impact for Mortgage companies

The mortgage industry is facing a perfect storm. The huge amount of uncertainty around the coronavirus pandemic combined with its economic impact is putting mortgage companies in a never-before-seen situation – increased pressure on both loan origination as well as default. On the origination side, mortgage companies have been hit

The future of mortgage lending: what will it look like in 2030?

It’s 2010. Beth is ready to buy her starter home. She knows closing on her mortgage is going to be a long process. She is frustrated by the number of hoops she must jump through and the amount of tedious paperwork she must complete and sign. There’s nothing she can

RPA helps leading US mortgage provider to achieve $2M in cost savings

The Challenge: Productivity being hampered by siloed and dated legacy systems The client is a leading mortgage provider in the United States with over one million customers and a strong presence across all 50 states. Predominantly manual processes led to challenges in their day-to-day lending operations such as error-prone, adhoc

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