AI didn’t quietly “arrive” at work. It showed up all at once, and now every team is being asked to respond, even if they’re not sure where to start. Jacki Lutz sits down with Jeff Paul of Vipar Heavy Duty and Meagan Moody of The Moody Blueprint to get past the buzzwords and talk practical AI, the kind that helps real professionals remove bottlenecks, make faster decisions, and stop drowning in repetitive busy work.
We dig into why AI progress feels so sudden, why the adoption curve resembles the early EV conversation, and why “Which tool should we use?” is usually the wrong first question. Instead, we focus on strategy, the specific slowdowns inside a business, and how to choose the right AI solution for the job, whether that’s a general-purpose LLM like ChatGPT or Claude, or something more targeted like an AI voice agent. We also talk about governance and data security, including what happens when AI note takers slip into meetings before anyone has answered the hard questions about ownership, storage, and policies.
Most importantly, we keep the spotlight on people. Adoption fails when teams don’t get trained, don’t get role-based examples, or don’t get an honest conversation about efficiency and job fear. Our takeaway is simple: start small, train intentionally, and build your expertise now, because soon AI won’t be a differentiator. It will be a baseline expectation. If this helps, subscribe, share the episode with a colleague, and leave a rating and review so more auto care industry listeners can find the show.
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