AI strategy

Who should own AI in your organization

There are four separate jobs here, and putting them all on one person or one committee is why most AI efforts stall.

Updated September 2026

The short version
  • Direction, platform, safety and delivery are four different responsibilities with four different owners.
  • A committee can decide priorities. It cannot own an outcome.
  • If the only person driving AI is an enthusiast with no budget, the effort ends when they get bored or leave.
  • The business owns the use case. IT owns the platform it runs on.

The most common ownership model is an enthusiastic person in IT, a steering committee that meets monthly, and a set of business teams doing their own thing. It produces activity, cost and very little direction. Four distinct responsibilities need four distinct owners.

Direction: which ideas get funded

Someone decides what the organization is doing and what it is not. This sits with whoever owns the technology plan — a CIO, a fractional equivalent, or an executive with the mandate.

A committee can advise and can rank. It cannot own the decision, because committees are structurally unable to say no to a member’s idea. Where a committee is the only mechanism, everything stays approved and nothing is funded properly.

Platform: where it runs and under what rules

IT owns the environments, identity, the data boundaries, the connectors, the monitoring and the cost controls. This is a platform responsibility and it belongs with the people who already own platforms.

The important part is that this ownership is not a veto over use cases. IT provides a safe place to build, sets the rules for it, and makes the route fast. When platform ownership becomes gatekeeping, business teams go elsewhere and the exposure gets worse.

Safety: what may go in, and who is accountable when it is wrong

Data classification, what may be put into which tool, retention, and the process for approving something new. Usually a shared responsibility between IT security, legal or privacy, and the business owner of the data.

Its job is to make approval fast and predictable. A safety function measured on how much it stops will stop everything; one measured on how quickly it can give a defensible answer works.

The use case: the business outcome

Each specific use has a business owner. Not a sponsor in name — the person accountable for the number it is supposed to move, who will be asked afterwards whether it worked.

This is the role most often left vacant, and its absence is the best predictor of a pilot that never becomes a service. Without it, nobody maintains the content, nobody chases adoption, and nobody decides to stop.

What happens when the split is wrong

All of it in IT. Technically sound tools that nobody uses, because no business team needed them badly enough.

All of it in the business. Fast progress, duplicated effort, data in places nobody sanctioned, and a cost surprise.

All of it in a committee. Ranked lists, no delivery.

All of it with one enthusiast. Real progress while they are there, and a set of unsupported tools when they leave.

The smallest workable arrangement

One executive who owns direction and funding. IT owning the platform and the cost controls. A named business owner per use case. A short, fast approval path for anything new. That is usually enough, and it is considerably less machinery than most organizations build.

Nobody quite owns it?

We will design how this runs here — who decides, who builds, who watches it — and hand it over working.