A common point of criticism in the dealership world is:
“I expected AI to do everything on its own, but it’s really just automations and workflows.”
Here’s the truth:
AI systems thrive on data. Without clear context, they are forced to “guess” the right answer, and those guesses can lead to catastrophic mistakes.
Real‑world example:
Imagine a prospect submits a lead for a specific pre‑owned SUV. They’re already pre‑approved for financing and indicate they want to pick up the car in two days. If the AI doesn’t have context from your CRM (e.g., the car was already sold yesterday), it might still book the appointment. The customer shows up, the vehicle is unavailable, and the dealership’s reputation takes the hit.
Context ensures AI has the full story: current inventory status, CRM notes, DND flags, customer history, and active promotions. Without it, customers receive incomplete or incorrect information, something no dealership can afford.
Common misconception:
“AI is smart enough to figure it out on its own.”
In reality, even the most advanced AI doesn’t inherently know your inventory feed, your finance programs, or your store policies. Context must be fed through integrations and data synchronization, or the AI will make decisions in a vacuum.
When dealerships rely entirely on AI to manage processes, they lose the predictable guardrails that automations provide.
Real‑world example:
One dealership deployed an AI system without automated lead assignment rules. The AI reached out to multiple sales reps simultaneously, trying to “find someone available.” As a result, three different reps called the same customer within the same hour. The customer felt overwhelmed and confused, and the dealership appeared disorganized.
Automations handle things like:
AI isn’t designed to replace these back‑end processes. Without automations, you create inconsistencies that frustrate staff and customers alike.
Common misconception:
“If the AI can talk to the customer, it can manage the entire workflow too.”
The reality is that workflows are essential to ensure actions happen in a predictable order. AI alone cannot guarantee that your CRM remains accurate, your legal obligations are met, or that multiple team members don’t collide on the same task.
Even if AI is capable of holding a great conversation, it still needs clear workflows to transition customers through different stages of the sales or service funnel.
Real‑world example:
A large dealer group implemented AI for service scheduling but didn’t define a workflow for warranty‑related repairs. Customers booked appointments for repairs that weren’t covered or required special parts that weren’t in stock. Because there was no escalation workflow to a service advisor, appointments were canceled at the last minute, costing time, revenue, and trust.
Workflows define:
Without workflows, AI can get “stuck,” leave leads hanging, or fail to escalate time‑sensitive issues. This creates a disjointed customer journey that erodes confidence in your dealership.
Common misconception:
“The AI can figure out when to escalate to a human on its own.”
AI might attempt to escalate, but without workflows, it doesn’t know who to send the case to, what information to pass along, or how to track resolution.
AI without structured workflows tends to over‑ or under‑communicate. It might follow up too aggressively or fail to follow up at all.
Real‑world example:
A dealership gave AI full control over renewal campaigns. The system sent multiple texts and emails to the same customer in a 48‑hour period, each with different offers. Instead of boosting renewals, the dealership saw an increase in opt‑outs and complaints.
Human oversight combined with workflow rules would have prevented that. For instance:
AI without these checks can become a liability for customer relationships and compliance.
Common misconception:
“The AI is polite and professional; it won’t annoy customers.”
AI doesn’t “feel” customer frustration. Without predefined pacing and escalation rules, it can easily overstep, creating the opposite effect you intended.
AI that isn’t supported by automations and workflows is far more likely to violate compliance regulations, from privacy laws to opt‑out requirements.
Real‑world example:
A dealership’s AI system accidentally sent promotional texts to customers who had opted out months earlier. Because there was no automation in place to cross‑reference DND lists, the dealership faced thousands of dollars in fines and reputational damage.
Workflows ensure compliance by:
AI alone doesn’t naturally prioritize compliance.
When staff see AI making mistakes, double‑booking appointments, missing escalations, or sending irrelevant messages, they lose trust in the system. That leads to low adoption and even active resistance.
Real‑world example:
At one store, the sales team started ignoring all AI‑booked appointments because the AI often failed to check vehicle availability. Customers would arrive to find the car they were interested in wasn’t on the lot. This resulted in wasted time and poor customer reviews.
Automations and workflows ensure that AI bookings are accurate and that staff have confidence in the system.
Common misconception:
“The team will adapt over time.”
In reality, teams won’t embrace a tool they can’t trust. Building credibility requires robust workflows and accurate data from the start.
The most successful dealerships treat AI as a powerful augmentation tool, not a fully autonomous agent.
Bottom line:
Leaving AI to operate alone without guardrails is risky. It can damage your reputation, frustrate your team, and alienate customers. The winning formula is a balanced ecosystem where AI works with well‑defined automations and workflows.
When this balance is achieved, dealerships unlock the true potential of AI: faster response times, higher close rates, better renewals, and a customer experience that feels personal, at scale.
Got questions about how to implement AI inside your dealership the right way? Talk to our founder's digital clone here!