Dynamic Custom Salesforce Platform Advances the Home Lending Process
A streamlined Salesforce instance and revamped user experience (UX) automates pricing and loan processing for multi-housing company – resulting in $65 billion dollars flowed through backer in 1 year.
A Dynamic Salesforce Platform Advances Home Lending Process
A streamlined Salesforce instance and revamped user experience (UX) automates pricing and loan process for multi-housing company –resulting in $65 billion dollars flowed through backer in 1 year.
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One of America's largest and most reputable mortgage backers has served multifamily mortgages for over 30 years.
After decades of providing mortgage backing services, the institution was beginning to lose market share to competitors.
In order to stay ahead, they needed to process their loans faster and more reliably to keep borrowers from going elsewhere for their multi-family home loan underwriting.
An Automated Loan Response System
Through user research, rapid prototyping, and a transition to Salesforce Lightning, we set out to transform a legacy system into an accelerated, agile solution.
We worked together with the mortgage backer team to gather user feedback, build prototypes, iterate through ideas, and create MVPs. We encouraged a shift to user-centered design to match the speed and caliber the market demanded.
Frontend developers augmented the client's scrum teams to create efficiency and optimize reusable components across the Salesforce platform.
From Slow to Streamlined
We started with accelerating one of the most time-consuming parts of a lender’s day: creating a new deal.
By replacing a clunky, confusing process with a streamlined, guided experience, lenders can create new deals in less time and reduce onboarding and training costs.
Next, we focused on internal users tasked with determining the pricing of the lender-submitted loans.
The launch of the Pricing Desk, a streamlined automated pricing workflow, improved lender response times from days to minutes.
Lenders receive quick and automated pricing days sooner than traditional expectations, reducing throughput times for internal users and allowing the mortgage broker to be more competitive in the market.