Speed is no longer the constraint. Your organization is.

Anything you can describe clearly can now be built, by almost anyone, in days. Yet MIT found that 95% of enterprise AI pilots deliver no measurable P&L impact, and named the cause as organizational, not technical. I help CEOs and Boards accelerate the company by leveraging AI rather than replacing people with it, starting small enough to prove in a quarter or two.

The room that froze

Seven engineering leaders arrived with plans after two weeks of discovery. I arrived with the thing built and in their inbox. The silence that followed is the reason this practice exists.

The projects that don't die

The initiative on its ninth change request, the system that has been ninety percent done for two years. Not failures of the people running them, but what happens when a project needs a piece of the company nobody owns.

How many agents are running in your company today?

And who could tell you what they are doing, what they cost, and what data they reach? Two-thirds of office professionals admit to using AI tools their company has not sanctioned. Governing that is what the model is for.

At three sizes

Small — Around $500MM in revenue, or a division of that size inside something larger

The proof fits in a quarter with the right setup, and a second domain in the first year is realistic. The shape it takes here is the shape it takes at every size above.

Medium — Around $5B

Two quarters or more to the working example. Security and architecture join data and red tape as the things that stretch it; change management and strategy join the proof team.

Large — Around $25B and up

Three quarters or more, because competing priorities and loss of focus are the biggest risk at scale, which is why the first step stays small even when the company is not.

Five times I have taken a business and rebuilt how it creates products and technology, and those transformations worked. This one is different in kind. Every previous transformation was designed to ration a scarce thing, the capacity to build, and the machinery built to ration it (requirements, roadmaps, quarterly planning, steering committees, the annual technology budget) now stands between the people you already employ and the work they could finish by Tuesday.

The word "accelerated" is deliberate. This is not a plan to replace people with machines. It is a plan to remove the machinery that stops the people you already have from building, and to give every function the capacity that only engineering used to have.

What I do

I work with the CEO and the Board rather than with the engineering department, because the change has to start with the organization, and nobody below the top has the authority to decide it. The engagement starts with a short diagnostic that produces your own number, meaning what your stalled and duplicated portfolio is actually worth, and if that number deserves it, a proof in one domain the rest of the company can see and build on.

The honest line

The operating model beneath this has been run five times, before AI, and it worked every time. The full accelerated model has been run in prototypes, in pieces inside a real company, and in one engagement that saw it clearly and froze. It has not yet been run end to end at scale. That is what the proof is for, and it is why the first yes I ask for is a small one.

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