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Nobody here agrees on what AI can actually do for us

The argument is rarely about the technology. It is that the room has never agreed which problem it is trying to solve — and until it does, every answer about AI is a solution looking for one.

Why does every AI conversation stall?

Because the people in the room are working from different mental models, and none of them are written down. One person has seen a demo and extrapolated; another has seen a hallucination and generalized; a third is quietly using tools nobody approved. Nobody is exactly wrong, and nobody can settle it.

Underneath the disagreement about capability sits a harder question that usually goes unasked: what would we do differently if this worked? A room that cannot answer that will argue about models indefinitely, because the argument is a proxy. Choose the problem first and the technology question becomes small, specific and answerable.

This is the elephant we call Mirage — solving the wrong business problem, perfectly.

What usually goes wrong when a team sets an AI direction?

  • The strategy names technologies rather than outcomes, so nothing in it can be proven right or wrong.
  • The loudest opinion sets the direction, because there is no shared basis to argue from.
  • Leaders delegate the judgment to whoever seems most technical, which is not the same as most accountable.
  • The direction is set once and never revisited, so it survives the evidence that should have changed it.

How do we get a leadership team aligned?

Start from the problem

Before any tool is named, the room agrees on the outcome it wants and how it would know the outcome happened. Most AI strategies fail that test on the first pass.

Write down what would prove it wrong

A direction that cannot be disproven cannot be steered. We get the room to name, in advance, the result that would mean the chosen problem was the wrong one.

A shared vocabulary

When a leadership team uses the same words for the same things, the strategy conversation gets much shorter.

Sound familiar?

Start with an assessment — people, process and technology, looked at together.