Stop just adopting AI
Adoption is cheap. The hard part — and the value — is in redesign.

Adoption is the easy half. Licences get bought, logins get issued, a dashboard shows usage climbing. Then the quarterly numbers look the same as last year and someone asks what we actually got.
Adoption measures whether people are touching the tool. Redesign measures whether the work has changed shape. Those are different questions, and only the second shows up in the P&L.
Redesign means fewer handoffs, not more. A role that used to exist no longer does, or exists in a different form. A report that used to take four days is now a side effect of the work itself. If none of that is happening, you have adopted software, not AI.
The uncomfortable part is that redesign always threatens someone's job description — often the sponsor's. That is why most programmes quietly settle for adoption metrics and move on.
The honest test is simple: a year in, can you point to a process that no longer exists in its old form? If not, you bought tools.
The decision: budget redesign work explicitly, or accept that you are running an IT rollout, not a transformation.
