The team did not need another abstract talk about the future of AI. They needed help understanding what, specifically, would change in their week if they adopted it. Until that question gets answered, most people will either tune out or assume the whole thing belongs to somebody more technical than them.
So the conversation started with work they already knew: recurring communication, repetitive document assembly, finding information buried across files, and the little bottlenecks that quietly consume hours. That created a shared language. AI stopped being a giant category and started becoming a set of concrete options.
From there, we separated what should be automated, what should only be assisted, and what should stay human. That distinction lowered the temperature immediately. People do better when they know they are not being asked to surrender judgment just to look innovative.
The result was not hype. It was relief. Once the team could see where AI fit, they could make sane decisions about what to try first and what to ignore.