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JohnRobertson.AI's avatar

This hits, but I’d push it one level deeper.

“Pilot” isn’t just a word problem — it’s a signal that the work hasn’t been operationalized.

What I see across teams is this:

They’re not actually piloting outcomes, they’re piloting tools.

So you end up with:

* isolated experiments

* no ownership across the workflow

* no integration into how work actually gets done

From the outside it looks like progress. Inside, nothing changes.

The shift isn’t “stop piloting.”

It’s: define the workflow you’re willing to change, then commit to embedding AI into that system.

That’s the difference between:

* testing AI

vs

* redesigning how work happens

The teams that move don’t just make a decision — they anchor that decision in a real operational surface area (intake, handoffs, outputs) and force adoption there.

Everything else is just a well-disguised sandbox.

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