When to hand it off

Most of the AI work I walk into should not have been AI work.

Not because the model is weak. Because the task was a decision, and they asked it for a draft of the decision.

I keep seeing the same shape with smart operators. A team picks the painful weekly ritual. They hand the whole thing to a chatbot. Then they spend a month arguing with the output. The ritual was painful because a person had to choose. The model will happily produce an answer. It will not take the blame when that answer is the one you cannot defend.

Here is the cheaper test I run with people, before we talk tools.

Would you be fine if this were wrong, and you found out tomorrow?

If yes, use the model. Let it draft, cluster, summarize, spit out the ugly first version. That is a good use. That is coworking.

If no, keep a person on the number, the send, or the call. Use the model next to them, not instead of them.

There is a second test, and this one is for the C-suite reader who will never become the engineer.

Is the next move a judgment you already know how to make, or is it a system someone has to own?

Judgment stays in your chair. You can sit with Claude and think it through. A system (permissions, a repeating workflow, something that touches customer data, something that has to be right every Friday) belongs to a technical person, or to a governed workspace someone designed on purpose.

I will say this plainly. I can build those workflows. I often do. A walled garden, real tasks, real security, a place your people can try this without leaking the company. That is a different engagement than coaching. Coaching is how you decide what belongs in the garden, and what should never go in.

You do not need to learn to build it. You need to learn to see it.

Walk toward automation. Do not run.