Usually it's one person who pasted a spec into ChatGPT to see what came back, or used it to draft a method statement. That's not nothing — it's curiosity, and it's healthy. But it's the same as buying one cordless drill and calling it a fit-out.
A strategy is the boring part. Which specific job AI does first. Who owns it. What it has to prove before you trust it with the next one. And what you’ll stop doing once it works. “We tried ChatGPT” answers none of those.
The gap between dabbling and deploying is where the money is — and it's also where most companies stall for a year. The ones who actually move pick one workflow, measure it honestly, and only widen out once it's earned the right.
Dabbling tells you AI is interesting. A strategy tells you where it pays. They're not the same thing, and mistaking one for the other is a quietly expensive way to stand still.