social share alt icon


AI-LED TRANSFORMATION ACCELERATES END-TO-END MORTGAGE ORIGINATION

CLIENT

 

AI-led end-to-end mortgage origination transformation for a large homebuilder, replacing fragmented and manual workflows with a streamlined, data-driven operating model across 56,400+ annual loan files.

BUSINESS CHALLENGE

The mortgage origination process was heavily manual, linear, and fragmented across multiple stages—leading to inefficiencies, delays, and increased operational cost:

  • High manual effort across intake, document collection, and data validation
  • Repetitive rework in credit checks and income verification processes
  • Lack of workflow standardization across origination stages
  • Longer turnaround cycles impacting customer experience and conversion rates
  • Limited scalability to handle growing loan volumes efficiently

Contact us to translate this solution into action for your organization

 

SOLUTION

 

Mphasis enabled a comprehensive AI-driven transformation across the origination lifecycle:

  • Automated intake and data validation
  • Digitized document ingestion and validation to eliminate manual data entry
  • Improved data accuracy and reduced processing time

  • AI-driven credit and income processing
  • Streamlined underwriting workflows with automated checks and validations
  • Reduced rework through improved data consistency and rule-based automation

  • End-to-end workflow orchestration
  • Eliminated linear dependencies with parallelized processing flows
  • Introduced standardized workflows across origination stages

  • Integrated digital processing framework
  • Unified disparate systems into a seamless origination process
  • Enabled better visibility, tracking, and operational control

BENEFITS

 

The transformation delivered measurable improvements in efficiency, cost, and cycle time:

35–40% reduction in effort across intake and data validation

25–30% reduction in rework in credit and income review

30% reduction in price per file through automation and efficiency gains

15–20% reduction in closing cycle time, improving speed to funding and customer experience