Key Takeaways:
Missed calls and slow follow-ups are quietly costing dealerships real money every single day.
A single AI employee can now cover the calls, texts, and outreach that used to take an entire team to keep up with.
The dealerships already using this are seeing results big enough to change how they think about staffing.
Dealerships spend serious money making the showroom look incredible. But, that investment often lives or dies on one thing: answering the phone when a customer calls.
That's the core argument Abdullah Baig, founder of PAM AI, made during the AI Show and Tell session at the AutoIndustry.AI Summit (held just before ASOTU CON 2026) and it reframes the entire AI conversation for dealerships. The pitch isn't "buy better software." It's "hire AI employees" built specifically for the jobs your team is already struggling to keep up with.
Here's the case he laid out, and the results behind it.
The Problem: Customers Are Reaching Out Faster Than Teams Can Respond
Customers now reach a dealership through phone calls, texts, emails, website chat, and online service scheduling, and each of those channels comes with its own failure point once a team gets overloaded. Phone calls go missed 30–50% of the time, speed to lead stretches to 1–2 hours on average, email response can take days, and online service schedulers see a 70% drop-off rate before a customer ever finishes booking.
Every one of those numbers traces back to the same root cause: BDC teams, service advisors, and salespeople are working across more channels than their hours in a day can support, which means leads and open RO's sit unattended simply because no one gets to them in time.
Building an AI Workforce
Baig's answer starts from a simple premise: a dealership can hire an AI employee built specifically for one of these overloaded channels, and that employee delivers consistency and around-the-clock availability in a way a stretched human team structurally cannot match. PAM AI runs three specialized agents live across 750 dealerships, each one built to own a distinct part of the workload:
Receptionist and scheduling agent — answers every sales and service call, connected to any CRM, DMS, or scheduling system a dealership already runs
Service marketing agent — reaches tens of thousands of VINs monthly for recalls, declined services, and telematics-driven outreach
Sales agent — responds to leads the instant they hit the CRM, then hands off to a live salesperson once a lead warms up
That speed compounds at scale. A list of 10,000 VINs, worked manually through calls and texts, takes a dealership roughly three months to get through, while PAM AI compresses that same outreach into a matter of days to a few weeks, which frees a team's time for the moments that genuinely need a human touch: walking a customer through a demo, closing a deal, building trust face to face.
The Results
PAM AI's full platform produces measurable numbers across its network, and the pattern holds consistently from store to store:
99.7% op code match rate on service appointments
50% of service appointments at most partner dealerships handled entirely by AI
30% national growth in repair order revenue
75–85% average booking rates
9–12x average ROI
95% dealer retention since launch
Individual stores carry that pattern into specific numbers worth naming:
Lithia CDJR of Spokane captured $15,000 in after-hours revenue at a 3–4x ROI
Bernardi Toyota added $50,000 in service revenue from a small set of campaigns
A top-performing store now books $300,000–$400,000 a month in service RO revenue
Silverstar Motors added $200,000 in monthly revenue
Parkway Family Automotive Group cut reception staff from 13 to 3 while reaching a 94% recall completion rate
A live call demo closed out the results and made the case in real time. A caller asked about a specific stock number, and the receptionist agent pulled the vehicle details immediately — a 2026 Tacoma 2WD, priced and sitting on the lot — then booked a same-day appointment, confirming the time and contact information along the way. Baig framed the moment simply: 70% of customers walk away from a call like this certain they spoke with a person.
PAM AI carries that same reliability into multi-location routing for auto malls, custom menus and workflows, overflow and after-hours coverage, a full analytics dashboard, and recall and warranty campaign management, all built to extend the same three core agents across a dealership's full operation.
How PAM Is Built
PAM AI runs on established foundational models, gaining control over scale, reliability, and cost that building a proprietary model from scratch would take years to earn. Each conversation actually runs through seven or eight models working together, with dedicated models handling dedicated tasks, so that the 99.7% op code match rate traces back to one specific model operating as part of that larger system. Post-training on real, high-quality call examples keeps accuracy improving continuously and keeps hallucinations in check, building directly on top of whatever a given foundation model provider prioritizes next.
Dealership-specific training draws 90–95% of its data straight from DMS, CRM, and scheduler integrations already in place, and the remaining share, covering a dealership's voice, preferences, and operating quirks, comes from onboarding conversations and existing documentation. PAM AI's internal models then configure a backend unique to that store, so that every dealership's version of PAM evolves from its own call history over time and ends up shaped entirely by its own customers, distinct from any other store running the same platform.
The Bigger Picture
Dealerships have wrestled for years with covering every channel and every lead without expanding headcount past what the budget allows. PAM AI answers that challenge with a purpose-built AI employee that keeps getting better the longer it works at a specific store, turning time and repetition into a growing advantage for that dealership.
