AI strategy is often treated as something leadership defines and the rest of the organization executes. That framing is part of the problem.

The most effective AI strategies aren't yet finished when they leave the boardroom. They become real only when the people doing the work begin reshaping the workflows around them.

I recently spoke with C-Suite Brief about this idea and why so many AI initiatives lose momentum between a successful demonstration and day-to-day use.

A lot of AI planning still concentrates on the technology: which models to use, which vendors to select, and which use cases to prioritize. Those decisions matter, but AI capability itself is becoming easier to access. The harder question is how the work should change because that capability now exists.

That means looking at a workflow end to end and asking different questions.

What should the human still own? Where does human judgment create the most value? What can AI take on? Where should decisions happen differently? And what work no longer needs to happen at all?

The people closest to a workflow usually know where the friction, judgment calls, exceptions, and workarounds actually live. Bringing them into the strategy is not simply an adoption exercise. It is how the strategy gets better.

The same is true when measuring adoption. Initial usage tells you whether people tried something. It does not tell you whether the technology has meaningfully changed how they work. Repeat use, changes in behavior, and movement against the underlying business goal are much more useful signals.

There is also a broader opportunity here. AI is going to keep changing. Organizations will not get to redesign work once and declare the transformation complete. They will have to do it repeatedly.

That can sound like a source of disruption, but it can also become a competitive advantage. Every workflow a company successfully redesigns becomes practice for the next one. Over time, the act of redesigning work becomes a learned organizational capability.

That may ultimately be more valuable than any individual AI tool.

You can read the featured article here:

https://www.csuitebrief.com/ceo/tom-gersic-why-ai-strategy-isnt-finished-in-the-boardroom/