Why the dealership AI manager is the most important role you need for long-term success.
Every dealer principal reading this has made the same bet in the last 18 months: AI will make us faster, leaner, and more competitive. Smart bet. Correct bet.
But here’s the part nobody’s talking about at NADA panels or on vendor demos. The technology isn’t the most important variable. The people around it are.
Dealerships across the country are investing in AI platforms that can respond to leads in real time, nurture for months, book service appointments via text, and recover abandoned customers through personalized outreach. The capability is there. The gap isn’t in the product. It’s in the org chart.
AI Without a Dealership AI Manager Is Just Software Collecting Dust
When a dealership buys a CRM, someone owns it. When a store invests in a new DMS, there’s an implementation lead, a training plan, a go-live checklist. Yet when that same store signs up for an AI platform that touches every customer conversation across sales, service, and marketing, the ownership question gets shrugged off.
The reins get handed to whoever happens to be “tech-savvy.” Or worse, to someone who wasn’t part of the buying decision and has zero stake in its success.
We recently sat down with our colleague Mike DeCecco, Impel’s Director of Partner Management and automotive technology veteran, to dig into a pattern he sees play out constantly, and one he recently unpacked in a LinkedIn article that resonated across the industry. “Too often we see executive managers and owners making very sound decisions based on facts, and they purchase AI for their store, but then the reins for implementation and buy-in get passed to someone who wasn’t necessarily included in the decision making process, or is reluctant to adopt AI for a myriad of personal and professional reasons.”
Sound familiar? It should. It’s happening at thousands of rooftops right now.
We’ve Been Here Before
Rewind to 2001. Internet leads were the new frontier, and most dealers didn’t know what to do with them. The stores that won were the ones that created a new role, the Internet Manager, someone dedicated to understanding the channel, building processes around it, and proving its value to the rest of the floor.
Fast forward, and every lead is essentially an internet lead. That role didn’t disappear. It dissolved into the operation because the entire business caught up.
AI is at that exact same inflection point. The dealers pulling ahead aren’t the ones with the fanciest platform. They’re the ones who’ve invested in change management, re-designed the organization, and designated a dealership AI manager to sit at the intersection of technology, process, and dealership culture.
DeCecco sees the parallel clearly: “It’s like it is 2001 all over again when we hired Internet Managers who focused on internet leads. Some day soon all dealership employees will be working in concert with AI, but until that day, we may want to think about hiring, or promoting the savvy folks, AI Managers.”
What a Dealership AI Manager Actually Does
This isn’t a help desk role. It’s not “the person who calls the vendor when something breaks.” An effective AI manager lives inside the business and translates dealership priorities into AI behavior.
They attend the Monday morning meeting and hear that service ROs are down. Then they adjust AI outreach cadences to target lapsed servicers or deploy an on-demand campaign to re-engage abandoned customers. They hear that a specific model is aging on the lot and configure a Move a Model campaign through Marketing AI before the week is out.
They’re customizing how the AI responds to CarGurus leads differently than Cars.com leads. They’re refining the AI Knowledge Bank so the AI knows about your college discount, your at-home delivery option, your winter tire promotion. They’re reviewing conversations and tuning the system so it sounds less like a chatbot and more like your best salesperson on their best day.
As DeCecco put it: “Think about your AI solution as a new employee. You wouldn’t send them out on the floor, or have them stand behind the counter and greet new service customers without some pretty solid training about how you do business.”
Every dealership is different. The AI doesn’t know that unless someone teaches it.
Silencing the Skeptics Takes a Storyteller
Every store has them. The sales manager who thinks AI is a fad. The advisor who’s convinced it’s going to replace them. The GM who approved the spend but hasn’t logged into the dashboard since.
A dealership AI manager doesn’t just configure the platform. They connect results to revenue in language the rest of the team understands. They map after-hours AI conversations, which represent 30–40% of all customer communications, to appointments that would have otherwise been lost. They trace recovered service customers back to incremental gross profit. They show the skeptical advisor that AI didn’t take their job. It gave them four more hours a week to actually sell.
DeCecco nailed this dimension during our conversation: “The AI manager knows where the store had gaps before implementing AI and can articulate how the systems are helping them fill those gaps.”
Without that internal advocate, even a high-performing AI system can look invisible on the P&L. With one, the value becomes undeniable.
The Magic Bullet Is a Myth. The Compound Effect Is Not.
DeCecco put it best when he told us: “Your dealership AI system is not a rotisserie chicken.” You can’t set it and forget it. And the dealers who expected otherwise are the ones left wondering what went wrong.
The hardest truth in AI adoption is that results take time. Not because the technology is slow, but because optimization is iterative. The first 30 days are a starting point. The system is learning from every interaction, capturing zero-party data from customer responses, and refining its approach.
But it needs a human partner. Someone watching, adjusting, and connecting the AI’s behavior to what the dealership actually needs this month.
DeCecco’s parting thought says it all: “When your store signs up for an AI system, it will not instantly solve all of your problems. You will want a person in your store that is dedicated to its success.”
The stores treating AI like a rotisserie chicken are the ones calling their vendor two months later wondering why nothing changed. The stores treating AI like a strategic hire, one that needs onboarding, coaching, and a champion in its corner, are the ones posting record months.
The platform is ready. The question is whether your dealership has the person to unlock it.
Ready to See What a Unified AI Operating System With a Supportive Team Behind It Can Do For Your Dealership? Request a Demo
Frequently Asked Questions
What is a dealership AI manager? A dealership AI manager is the person responsible for configuring, optimizing, and championing your store’s AI platform. They translate business priorities into AI behavior, customize responses by lead source, and connect performance data to revenue outcomes across sales and service.
Does my dealership need a dedicated AI manager? If your store is investing in AI, someone needs to own it. Dealerships that assign a dedicated AI champion consistently outperform those running on default settings, seeing higher appointment rates, more touchpoints per lead, and stronger service retention.
What skills should a dealership AI manager have? The ideal candidate is tech-savvy, understands how the dealership operates across departments, and isn’t afraid to experiment. They don’t need to be a developer. They need to be curious, data-literate, and plugged into the goals discussed in your Monday morning meetings.
Can I promote someone internally instead of hiring? Absolutely. Many of the best AI champions are already on your team. Look for the person who’s always first to learn new systems, asks questions about process improvement, and understands what motivates different departments.
How long does it take to see results from AI optimization? Most dealerships see meaningful performance improvements within the first 60 to 90 days of active optimization. The key word is active. AI systems improve with every interaction, but they need a human partner configuring cadences, refining responses, and aligning the platform to current business priorities.
What’s the difference between an AI manager and a BDC manager? A BDC manager oversees a team handling inbound and outbound customer communications. A dealership AI manager focuses on how the AI itself performs across all touchpoints in the customer lifecycle. They’re complementary roles. The AI manager ensures the platform is tuned to support the BDC, the sales floor, and the service lane simultaneously.
What AI platform supports this kind of dealership-level customization? Impel’s AI Operating System gives dealerships the ability to fully customize the AI as desired through capabilities like agent specialization and tailoring, audience and journey customization, AI Knowledge Bank, configurable playbooks/journeys by lead source, and more. It’s a single platform spanning merchandising, marketing, chat, sales, and service, built for exactly this kind of hands-on optimization. Learn more