For Operating Companies

The decision on most CEOs’ desks is not which vendor. It is who is allowed to decide.

Your competitor just announced an AI tool. A customer asked what you are doing about it. The board wants an answer by the next meeting. Meanwhile two pilots are already running somewhere in the company, and nobody owns them.

Why good companies get this wrong

Once AI lands inside the IT function, everything starts pulling it toward ordinary software delivery. Budget codes. KPIs. Reporting lines. Six months later the strategy document and the actual project describe two different initiatives, and nobody decided that. It happened.

The missing piece is rarely capability. It is authority. The person who owns the project cannot rewrite the goals of the business, and a serious AI deployment demands exactly that. Some of last year's goals stop making sense. Some that looked impossible now fit inside six months. Deciding which is which belongs to you and your board, not to a function managing a queue and a vendor shortlist.

Caught early, this costs a conversation. Caught late, it costs the year and the budget.

Your size is the advantage

Large enterprises take around nine months to move an AI pilot into production. Mid-market companies can do it in ninety days. Same technology, same vendors. The difference is that you can make one decision in one room, pick one process, automate it, measure it in sixty days, and either scale it or stop.

Copying a Fortune 500 playbook spends that advantage. An eighteen-month roadmap with approval gates built for a company a hundred times your size produces a pilot stuck in month seven with no production date. The roadmap should fit the company, not the company the roadmap.

The math has to close

One rule under every engagement: spend meaningfully less on AI than the initiative returns, or stop at the start. Not three pilots later.

What "return" means is your strategic choice, not a default. Grow output with the team you have. Hold output and reduce cost. Something else entirely. I do not arrive with the answer decided. The work is to name what your business is actually optimizing for, and make the AI decision serve it.

What I check before you commit

Whether the company can carry the plan. The people who will have to work differently. The operations the plan assumes without saying so. The strategy it locks you into. The data underneath it. A tool that works in the demo and dies in your workflow fails on the second list, not the first. That is where I look first, because that is where the money goes.

How we can work

Scoped to the decision in front of you, not assembled from a package.

  • AI Strategy and Decision Framing

    You are deciding whether, where, and how AI belongs in your operating model. You leave with a decision you can defend, the reasoning to defend it, and a clear view of what starts now, what waits, and what stops.

  • AI Operations Audit

    AI is already underway, and ownership, direction, or return is unclear. An honest read of each initiative: continue, change, or stop.

  • AI Vendor Intelligence

    A contract is on the table. I test the claims against the capability, the fit against your actual data, and name the switching costs before you sign, not after.

  • AI Governance and Risk Sequencing

    Who decides, who approves, and the explicit "not now" list, set before execution instead of after the first problem.

  • Executive Decision Sprint

    One decision, hard deadline. A contract expiring, a board meeting, an internal deadlock. Independent judgment, fast, framed as the decision it actually is rather than the one first presented.

AI Readiness Session

One focused call, ninety minutes. You describe the decision, the pressure, and what is unclear. I give you an independent read, with no vendor agenda and no pitch at the end. Afterward you receive a written summary: where you stand, what is realistic, what to do next, and the scope of work it would take. If the answer is that you do not need me beyond this call, the summary says so.

$350 · 90 minutes · video call

Book a Session

The thinking behind this, in full

How I believe mid-market companies should adopt AI is published and open: Velocity with Containment: An AI Adoption Doctrine for Mid-Market Leaders

[PLACEHOLDER testimonial: one sentence from a CEO about a decision this work changed.]

[Name, Role, Company]

Most conversations start with a specific decision or pressure, not a service category. Describe yours, and the right entry point becomes clear.

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