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Executives do not need another model overview. They need a way to decide what to fund.

Most executive briefings explain what the models can do. The room then returns to the same unranked list of ideas. The missing skill is judgment: where AI creates leverage, what a credible case looks like, and when to say no.

Adnan Boz
Adnan Boz

How I see it

Executives need a way to decide, not another demo

Useful executive education is short and operational. It covers the three paths, the economic filter, the difference between a copilot and an agent, and the questions to ask a vendor or an internal team.

Leaders should leave able to read a proposal. Is there a workflow? A baseline? An owner? A conservative value? A run cost? A control point? If those are missing, the proposal is not ready, no matter how strong the demo.

They should also leave able to protect the company from theater. A transformation program, a platform bake-off, or a company-wide license can all be the wrong next step. Education that cannot say that is marketing.

The session works best when it uses the company's own candidate workflows, not generic industry slides. The point is a shared language for the next funding meeting.

How the engagement runs

What you actually buy.

A service is a sequence with an artifact at each step. It is not a transformation program you purchase as a bundle.

01

Change the expected path

The new artifact is how the work is done, not an optional assistant beside the old way.

You leave with

Done is redefined for a named step.

You do not get

A license count or a lunch-and-learn.

02

Train on live cases

People produce the new artifact on real work, with boundaries and a quality standard.

You leave with

Completed cases meet the standard.

You do not get

A generic demo of the tool.

03

Make managers accept the new done

If managers still accept the old packet, training will not hold.

You leave with

The old path is no longer a successful submission.

You do not get

Inspiration for the whole firm and no change in what gets approved.

Do not buy this for

These engagements fail for predictable reasons.

01

Teaching the history of the models

A COO does not need the training-data story. They need to know what changes a workflow and what does not.

02

Using only vendor demos

Demos show the happy path. Education should include failure, supervision cost, and the cases that should stay human.

03

Leaving without a decision habit

If the next steering packet looks the same as the last one, the session was entertainment.

Before we start

Questions that decide whether to engage.

  1. Can the leadership team name the three paths and when each is appropriate?

    If everything is still 'an AI project,' the vocabulary is not in place.
  2. Can they spot a business case that has no baseline?

    If not, they will keep funding stories.
  3. Do they know what they will not automate?

    A company with no no-list will overreach.
  4. Can they tell a copilot from an agent in a vendor pitch?

    If not, they will buy the wrong thing at the wrong price.
  5. Who in the room is allowed to stop a popular idea?

    Education without authority does not change funding.

How we size it

A fundable proposal

named workflow + baseline + owner + conservative value + run cost + control points

If a term is missing, the executive response should be 'not yet,' not 'let's find a vendor.'

This is the wrong engagement if

Do not start this engagement yet.

  • The request is a keynote, not a working session.
  • No real candidate workflows will be in the room.
  • Leadership wants enthusiasm more than a shared no-list.
  • The company has already funded a program and wants education to sell it inward.
Adnan Boz

A useful next step

Bring the proposals you are already seeing.

We will use them to build a shared way to fund, reshape, or stop AI work.

Discuss an AI opportunity