Sagent unveils Dara platform’s new AI capabilities at Ignite

Earlier this month at the company’s Ignite conference, Sagent executives unveiled new artificial intelligence capabilities embedded in the Dara platform, positioning AI as a central tool for mortgage servicing operations and compliance management.

The new capabilities were showcased during a May 5 session titled “AI in Mortgage Servicing.” The panel featured Sagent President Sridhar Sharma, chief product officer Shane Leonard, chief technology officer Omer Farooque, chief compliance officer Matt Tully and senior vice president of customer success management Monika Peltz.

Sharma said AI within Dara is designed to be flexible, allowing servicers to use Sagent’s built-in agentic frameworks or integrate their own AI systems.

“We have built agentic AI frameworks inside of Dara that you’re able to train, customize and deploy within your ecosystems,” Sharma said. He added that the platform can also connect directly with external AI agents through what he described as an MCP server architecture, enabling “agent-to-agent” communication between systems.

That flexibility, Sharma said, allows servicers to blend internal and external AI tools for functions such as call-center operations or private mortgage insurance removal workflows, depending on organizational needs.

Farooque said the system is built around three principles: discipline, responsibility and practical application.

“We know that this is a very heavily regulated industry and for that, we need to make sure that the human in the loop is the one that is able to make sure that whatever actions are taken are done in a responsible oversight manner,” Farooque said.

A major focus of the presentation was Dara RegIQ, a compliance tool designed to automate the monitoring and interpretation of mortgage regulations. Tully pointed to servicers who are facing a growing regulatory burden, citing more than 8,800 combined rules, investor requirements and industry guidelines.

“Change is constant,” Tully said. “It’s a challenge for you as a servicer to keep on top of it, and it’s a challenge for us as a technology provider to make sure that we’re delivering things on a timely basis.”

He said Sagent’s legacy regulatory change process often required weeks of manual review across product, engineering and compliance teams. RegIQ, powered by AI, is designed to reduce that timeline to hours by continuously scanning updates from agencies such as the Consumer Financial Protection Bureau (CFPB), Fannie Mae, Freddie Mac and the Federal Housing Administration.

The system links regulatory updates directly to product features within Dara, allowing teams to see which parts of the platform are affected by specific rule changes.

“There’s nothing else like this in the industry,” Tully said.

Executives also demonstrated “Ask Dara,” a natural language interface that allows users to query loan portfolios in real time.

Leonard said the tool replaces traditional reporting workflows that often relied on analysts or static systems. “Yesterday, we would call our analyst or we would send an email,” he said. “Today, we can just ask Dara.”

In a live demonstration, the system identified loans in loss mitigation, categorized modification types and provided loan-level details, including borrower and property information.

Leonard said the platform includes more than 3,000 data fields and is designed to make complex servicing datasets more accessible.

AI-driven workflow automation and auditability

Executives emphasized that all AI-driven actions within Dara are fully auditable and designed to maintain human oversight, particularly in regulated environments.

Leonard said users can also trigger workflows directly from AI-generated results, such as flagging missing documentation or creating loan conditions that route tasks to operational teams.

Every action, he said, is logged and traceable at the loan level.

“There is no black box,” Leonard said. “Everything that has happened here is an auditable thing within the system.”

Farooque added that the system is designed to learn from user behavior and can incorporate external data sources, including call-center and system performance data, into its analysis.

The executives framed Dara as a unified servicing ecosystem intended to modernize legacy mortgage infrastructure and reduce manual workflows across compliance, data analysis and customer operations.

“We want to be at the very beginning, so you can train your teams, anticipate, and update your policies and procedures,” Tully said of regulatory change detection.