Vendor Analysis
published on Jun 30, 2025
Report Overview:
This NelsonHall vendor assessment analyzes Mphasis' offerings and capabilities in Mortgage & Loan Services
Who is this Report for:
NelsonHall’s ‘Transforming Mortgage and Loan Services’ profile on Mphasis is a comprehensive assessment of Mphasis’ offerings and capabilities for the mortgage and loan sector, designed for:
- Sourcing managers monitoring the capabilities of existing suppliers of technology and operational services and identifying vendor suitability for mortgage and loan services in RFPs
- Vendor marketing, sales, and business managers looking to benchmark themselves against their peers
- Financial analysts and investors specializing in the support services sector.
Scope of this Report:
The report provides a comprehensive and objective analysis of Mphasis’s mortgage and loan service offerings and capabilities and market and financial strength, including:
- Identification of the company’s strategy, offerings, and new developments
- Analysis of the company’s strengths, weaknesses, and outlook
- Revenue estimates
- Analysis of the profile of the company’s customer base including the company’s targeting strategy and examples of current contracts
- Analysis of the company’s offerings and Mphasis service components
- Analysis of the company’s delivery organization including the location of delivery centers.
Key Findings & Highlights:
Mphasis provides technology and BPS services to businesses. The majority of Mphasis’ revenues come from the financial services industry. Digital Risk is a subsidiary of Mphasis that offers services to the mortgage and lending industry. Its clients are mortgage originators, loan servicers, GSEs, and global financial institutions. Its clients include four of the largest mortgage lenders and five of the five largest banks in the U.S.
Digital Risk has been developing its services to:
- Enable faster document indexing
- Deliver better origination services with faster time to market and improved operational efficiency
- Greater use of AI to improve CX, credit decisions, file processing, and quality control.