"In technology, it’s about the people. Getting the best people, retaining them, nurturing a creative environment, and helping to find a way to innovate."
—Marissa Mayer, Former CEO of Yahoo!
The AI Breakdown
The Process Behind the Performance
AI is giving dealerships a lot more “almost done” work.
That can be useful. But before the draft heads for a customer, someone still needs to check the facts, perfect the tone, and make sure the thing does not accidentally create a legal snafu.
That handoff is the real AI challenge.
IBM’s latest AI report puts numbers behind it. Organizations pairing advanced AI adoption with strong change capabilities are seeing up to 73% higher revenue growth and an 11% gain in operating margin. The difference comes from the system around the tool: who can challenge it, how people practice good judgment, and what managers reward.
IBM
IBM calls that system permission, practice, and proof. Permission gives employees authority to question AI. Practice turns judgment into a repeatable habit. Proof shows the team which behaviors actually count.
The gaps are already showing. 70% of executives say unclear authority has caused AI project issues. 34% of organizations lack a repeatable way to resolve conflict between human judgment and AI output. 93% say AI makes employee performance harder to evaluate.
IBM
A simple AI operating plan for this week:
Choose one workflow by Monday. Start where AI is already touching a customer: BDC follow-up, service follow-up, review replies, or inventory copy. Keep the first test narrow so managers can actually see what is happening, catch mistakes, and improve the process before rolling it across the store.
Assign one owner. Name the manager responsible for the final customer-facing answer. AI can create the draft, but the store needs a human owner for anything that reaches the customer, the CRM, the website, or a public review page.
Write the handoff. Spell out what AI creates, what the employee checks, what triggers manager review, and who owns the final call. For BDC, AI drafts the message, the rep checks the name, vehicle, tone, next step, and accuracy, and a manager reviews anything involving price, payment, trade, credit, or legal language.
Practice the judgment call. Create low-stakes reps through simulations, sandbox examples, and real store scenarios that show when to trust AI, when to challenge it, and when to escalate. IBM recommends scenario practice so teams can rehearse good judgment before the stakes get higher.
Use stoplight rules. Green work moves fast. Yellow work gets employee review. Red work gets manager approval. Use red for anything tied to payment, credit, legal claims, safety issues, warranty explanations, pricing disputes, or upset customers.
Review the pattern every Friday. Pull five AI-assisted examples and ask what helped, what was missed, what changed, and what guidelines need to be added. Use those examples to add better rules for next week.
Track the useful stuff. Put AI outcomes on the dashboards managers already use, including appointment set rate, show rate, RO accuracy, customer replies, compliance edits, and great catches. Reward employees for exceptional oversight, and explain to your team how and why the correction was made.
Prompt of the Week
AI gets more useful when the tool matches the task.
Use NotebookLM when the work starts with a document. Use ChatGPT when the idea needs another set of eyes. Use Claude when the draft needs to sound more human. Use Gemini when recent context matters. Use Perplexity when the claim needs proof.
For dealers, that last one is a strong place to start.
This prompt helps dealers move faster on research by turning a broad question into a sourced comparison your team can actually use. Paste this into Perplexity:
"What are the actual pros and cons of [Strategy A] versus [Strategy B] in 2026? Provide the hard data points and cite your sources." [Once it answers, click the tiny footnote numbers to see the exact websites it pulled the answer from.]
Shout out to our very own John Sukowaty for this one! Grab more of his tool-specific prompts here.
Fresh Finds for Auto Pros
Management & Operations: Ekho
Ekho helps dealers keep the buying process moving from lead to completed transaction, with an AI sales agent, online checkout, financing, titling, registration, compliance, and reporting in one workflow. It’s built for reducing handoff drag and keeping buyers from falling into the “someone will get back to you” void.
Service & Parts: Efficiency IT Services
EITS offers AI tools to help parts teams identify the right part faster, reduce lookup mistakes, and respond to customer or shop inquiries in real time. It streamlines the everyday work of finding the right part, reducing lookup errors, spotting lost sales, and making better stocking decisions.
Data Management: Antigravity
An AI-powered development workspace that lets agents plan, write, test, and manage software tasks across an editor, terminal, and browser. It gives teams a faster way to build internal tools, automate repetitive work, and turn rough workflow ideas into usable projects.
Marketing & Advertising: Go Viral
An AI video-audit app that scores short-form videos before they post, looking at the hook, pacing, lighting, storytelling, and CTA. For dealers, it’s a useful gut-check for Reels, TikToks, and Shorts before a walkaround, service tip, community post, or inventory video gets tossed into the algorithm.
Hear from the Experts
AI is starting to show up in the daily grind of the store.
This AI Show and Tell at the AutoIndustry.ai Summit features demos across calls, lead follow-up, fixed ops recovery, customer data, sales coaching, and personalized communication. Basically, the stuff that gets messy fast when people are busy.
Watch the full session to see where AI is already helping dealers tighten their operations.
Bits and Bytes
Ford has hired back more than 300 human engineers after AI failed to meet their quality standards. 🏭
Waymo is ending its partnership with Uber in Phoenix after a nearly three-year run. 🚕
Nevada investigators say trailers full of Tesla cars and batteries have been stolen from company facilities at least 11 times since December. 🕵
Mississippi is rolling out AI-powered traffic cameras that can detect seat belts, phones, and speeding in real time. 📹
Fable 5 may return as soon as this week as Anthropic and the Trump administration work through the security concerns that forced it offline. 🔄
Parting Pixels
Thanks for reading, Friend! As with anything, if you want to see the results, you gotta put in the time.
Reader’s Digest
