Evergreen Home Loans Replaces Legacy System With Sagent’s Dara To Scale Servicing – NMP Skip to main content

Evergreen Home Loans Replaces Legacy System With Sagent’s Dara To Scale Servicing

Apr 10, 2026
Evergreen Replaces Legacy System With Dara
Managing Editor

Lender taps unified, AI-driven platform to boost efficiency, borrower retention, and long-term growth

Evergreen Home Loans is overhauling its servicing operation, selecting Sagent’s cloud-native Dara platform as it replaces its legacy system and positions itself for growth, retention, and more control over the borrower lifecycle.

The Bellevue, Wash.-based direct lender said the move is designed to support expansion into new markets while streamlining operations and improving the homeowner experience — a shift that increasingly ties servicing performance to future production.

“As we move into new markets, we need a servicing platform that can scale with us while enhancing the experience our customers and loan officers expect,” said Scott Rodeman, vice president of servicing and customer care at Evergreen. “Dara provides the modern servicing foundation we need to streamline operations, reduce complexity, and elevate the homeowner experience.”

Servicing Moves Upstream In The Revenue Strategy

For originators, the move reflects a broader shift: servicing is no longer just operational; it’s a retention and recapture strategy.

Evergreen, known for purchase-focused programs like its Security Plus Seller Guarantee and CashUp offerings, is aligning its servicing stack with that front-end strategy. The goal is clearer: maintain the borrower relationship beyond closing and convert it into repeat business.

That’s where Dara comes in.

One Platform, Fewer Breakpoints

Sagent positions Dara as a fully unified servicing system — combining core servicing, consumer experience, default management, claims, analytics, loan transfers, and AI-driven workflows into a single platform.

With real-time data and open API connectivity, the system is designed to reduce manual processes, improve efficiency, and maintain compliance while adapting to shifting market conditions.

Sridhar Sharma, president of Sagent, said the platform delivers “advanced AI-enabled workflow, automation, and decisioning” with compliance guardrails embedded directly into the system’s core.

The move also signals a growing willingness among lenders to move off legacy servicing systems altogether.

Evergreen confirmed it is transitioning from its prior platform as part of a broader effort to modernize operations and support a more scalable model.

That shift matters in a market where execution speed — not just pricing — is increasingly determining who keeps the borrower relationship.

The Bigger Picture: Servicing As A Competitive Lever

Sagent says Dara is designed to modernize servicing across the $14 trillion U.S. mortgage market, with a focus on reducing both cost and operational friction while improving borrower engagement.

“By selecting Dara, Evergreen is positioning its servicing operation for modern scale while improving the borrower experience that differentiates the company,” said Sagent CEO Chris Marshall.

Evergreen, which operates in 29 states with more than 50 branches, is making that bet as lenders continue to look beyond volume and toward lifecycle value.

What It Means For LOs

For loan originators, the implications are straightforward:

  • Better servicing execution = stronger borrower relationships
  • Stronger relationships = higher recapture and referral rates
  • Modern platforms = fewer gaps between closing and the next deal

As more lenders invest in unified, AI-driven servicing systems, the divide is widening between shops that treat servicing as a cost center, and those using it to drive future pipeline.

 

About the author
Managing Editor
Czarinna Andres leads editorial coverage for NMP, focusing on the trends, policies, and business strategies shaping today’s mortgage and housing finance landscape. She brings a background in journalism and media, with experience…
Published
Apr 10, 2026
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