Welcome to another edition of the Car Dealership Guy Podcast Recap—a rundown of key lessons from top operators, founders, and execs shaping the future of auto retail.
Today’s guest is Matt Leone, CEO of DriveCentric.
Matt breaks down why "tech bloat" is killing dealership margins and how shifting from task management to real-time engagement hubs can stop lead leakage across Sales, F&I, and Service.
The CRM was never built for the whole dealership
The original CRM was designed with one job: hold the sales team accountable to leads. But that framing left out nearly every other customer-facing role in a dealership.
"You have, in a dealership, a service adviser who is a salesperson, an F&I manager who is probably your best salesperson, you have your sales team, you have your BDC, you have your marketing team, all talking to customers...If you're talking to a customer, why aren't you in the CRM?"
Until every department that interacts with a customer is inside the same platform, the category can't fulfill its own promise.
Tech bloat is a symptom of a platform that stopped evolving
When a core system stops innovating, the industry works around it, which is exactly what’s happened with the CRM.
"You have 40 different vendors all getting the data and the CRM category stayed static. It didn't move. It didn't innovate. It didn't do anything."
The result, Leone says, is a fragmented ecosystem where dealers pay more, manage more vendors, and still don't have a unified view of their customers.
Engagement is a fundamentally different philosophy than tasks and workflows
Most CRMs are built around a list of tasks a salesperson must check off. DriveCentric's founders took the opposite approach, which is to start with where engagement is happening and respond to it.
"You could have had amazing engagement happening and [are] just totally blind to it because you were too busy doing your tasks."
Flipping the dashboard to surface live customer engagement rather than pending to-dos changes how salespeople prioritize and how quickly they respond.
Speed of response is now the primary competitive variable
Once a customer is actively engaging, Leone says the window to respond is measured in minutes, not hours.
“If somebody's interacting with you and you wait a day, you've lost that customer. But if you can track that down and show on a dashboard a filter and show the entire team, ‘Hey, this customer has had a 4-minute gap in engagement here and they're active with you.’ That's like somebody showing [up] to the showroom and nobody paying attention to them."
Tracking engagement gaps in real time and making those gaps visible to managers is where he says the operational difference gets made.
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Agentic AI only works if there's one voice talking to the customer
The next wave of AI in dealerships includes agents that function more like employees than tools. But that only works if those agents are all operating from the same platform.
"You can't have 40 different voices in different large language models with different bolt-ons trying to talk to your customers and then trying to cram all that back into a CRM."
Because of this, Leone says consolidation is a prerequisite for AI to work coherently on behalf of the customer.
Treating AI agents like employees changes how you manage them
Leone also shared that the shift from AI as assistant to AI as agent requires a different mental model.
"You have to hire this person. That person has a job description. What did I hire you to do? So you have to hold them accountable. You have to coach them. You have to mentor them. You have to give them performance feedback. Sometimes fire them. But we don't think of technology as an employee. We think of technology like a tool."
As he sees it, though, when agents are held to a job description and coached like staff, the output becomes more consistent and more aligned with how a dealership actually wants to treat customers.
Performance management should be about quality, not just quantity
Leaderboards built around volume (number of videos sent, number of emails fired) miss the point. The better question is what's actually working and why.
"Just because I did a hundred videos doesn't mean I should get five stars. I could have only created one video but sold 30 cars. What is it that you did in that one video that was effective?"
In other words, ranking salespeople on quality metrics (not just activity volume) produces more useful coaching insights.
The "expensive" perception often ignores what's already in the stack
Price objections to a CRM frequently happen without accounting for all the bolt-ons already paying for functions the CRM should provide natively.
“When you consolidate all that tech stack you're saving money.”
The real price comparison should be what you're spending across your entire tool stack, not what one CRM costs vs. another.
AI adoption hit a plateau because results didn't match the hype
Early AI adoption in dealerships followed a predictable arc: excitement, experimentation, disappointment.
"I think it kind of started to come back down because people are like, 'This wasn't the experience I was hoping for. I didn't get the ROI here. It's missing stuff. It's not centralized. Too many different voices.'"
He says the next wave of adoption, driven by better LLMs and tighter vertical integrations, is likely to move faster and stick longer.
The customer is the dealership's most valuable asset and the platform should reflect that
When thinking about where to invest in technology, the question that cuts through everything else is whether that investment actually improves the customer's experience.
"If the customer is the most important thing in your dealership of value, then the emphasis needs to be on that platform...one that I want engaging with my customers."
The dealers who haven't asked that question lately may be spending the most money in the wrong places.
