DriveCentric’s newest AI agents are on their own.

The customer engagement platform announced it has expanded the capabilities of its artificial intelligence-powered agents to include autonomously executing several “critical workflows” that dealerships often struggle to cover consistently.

The agents, built into the DriveCentric platform, are designed to augment existing tools such as Automation Hub and Genius Reply to handle after-hours lead response, proactive database outreach and long-term customer retention.

The expansion introduces three new AI agents.

Nurture Agent maintains ongoing, personalized customer engagement after the sale to drive retention and repeat business, DriveCentric said, while Prospect Agent identifies past customers re-entering the market and converts them into sales-ready opportunities before they look elsewhere. Sales Agent is designed to respond to every inbound lead in less than two minutes, 24/7.

In a news release, the company said the agents are managed through a new experience layer to give dealers visibility and coaching tools, as well as a centralized dashboard to monitor performance, refine strategies and control customer interactions.

DriveCentric said its AI agents are trained on more than 10 years of dealership engagement data, vehicle interest, financing behaviors, trade-in cycles and ownership timelines to create “natural and relevant” conversations.

“DriveCentric has been leading AI innovation for dealerships, and the data we’ve built across every customer touchpoint is allowing us to accelerate faster than ever,” CEO Matt Leone said. “We’re continuing to expand what our platform can do autonomously, giving dealerships more agents that create and manage the customer experience across the entire ownership journey.

“We have a deep roadmap of new agents planned for this year, all designed to help dealerships optimize engagement, all natively built and centralized on our customer card.”

DriveCentric said its customer card owns the customer record plus “the full history needed to provide the AI context that drives efficiencies, scale and growth.”