Straight answers, for both kinds of questions.

The rhythm scales from solopreneurs to large public enterprises. What changes is the scope of each monthly cycle, not the system: a two-person company gets the same Align, Activate, Build, Report discipline as a 200-engineer organisation.

Five minutes of questions and an instant AI readiness score on screen: where AI should be working in your business, your weakest areas and what to do first. Unlock the full breakdown with your email, then talk it through with a founder, not a sales team. No charge, no obligation.

About one in five companies takes that result and runs with it internally. That is a fine outcome. You owe us nothing.

Month one delivers the Launch Sequence: a readout of your stack, your team and your operation, then a 90-day Flightpath with priorities, costs and owners. Builds start as soon as the priorities are agreed.

Our record so far is a paid product replaced in about 10 hours of build time and live to the client within a week. The case studies on our work page carry the numbers.

Our monthly operating system. Four phases in the same order every month: Align, Activate, Build, Report. It starts with the Launch Sequence (a deep readout of your business and a 90-day Flightpath), and from then on the rhythm does not drift.

You read one report a month with numbers in it, so you always know what you are paying for.

Less than a hire, and front-loaded. Month one is the heaviest: the Launch Sequence needs real conversations with the people who actually do the work, so we understand the operation rather than guessing at it.

After that the standing commitment is light: around thirty minutes a month from your leadership for Align, plus whatever time the agreed builds genuinely need. We do not run meetings for the sake of meetings.

From your side: one senior decision-maker for the monthly Align, and access to the people who do the work during the readout. From ours: one senior counterpart for your leadership, with founder-level involvement, and no handover to a junior team once the contract is signed.

AI strategy and roadmap, build-versus-buy and vendor calls, engineering oversight and board reporting on AI, tech and digital risk. Behind the seat sits the rest of Aitronaut: strategy, implementation and training capacity when the roadmap calls for it.

A full-time hire at the level you would want is expensive, slow to recruit and hard to attract to a mid-market company. The fCAIO gives you the same seniority at a fraction of the cost, starts in weeks rather than a recruitment cycle and brings build capacity with it.

The engagement has a three-month minimum, not a permanent commitment. If it is not earning its place, you stop.

Every month closes with a readout: adoption, delivery and risk in numbers against the Flightpath. Where we can measure we measure, and where we estimate we say so. Numbers beat adjectives.

A three-month minimum, not a permanent commitment. It is long enough to land the Launch Sequence and show real movement, short enough that you are never trapped. If it is not earning its place, you stop.

Yes. After the minimum you can stop at any month-end, no penalty, no exit fee. The confidence is in how easy we are to leave: a relationship that has to be locked in was never working.

That is the goal, and it is built into the rhythm. Everything we build lives in your repositories and your accounts, owned outright, and keeps running without us. Capability transfer is part of the work, not a parting favour. When we train your team, the aim is to need us less.

A monthly retainer with a three-month minimum, scaled up or down as the roadmap demands. We do not publish pricing because the right shape depends on your size and ambition, and we do not do timesheets or bill for phone calls.

The first conversation and the readiness assessment are free. You will know the shape of the cost before you commit to anything.

Governance is part of the system, not an afterthought: sanctioned tools, data rules and clear ownership of every AI capability we introduce. Training is aligned with EU AI Act Article 4 on a measure-train-evidence cycle, so you can show your obligation is met.

We provide the measurement and the evidence pack. We do not provide legal advice.

Frontier models and a deliberately standard stack: Anthropic’s Claude as the default model, the Model Context Protocol for connections, proper evals and automated tests around everything, on languages like TypeScript and Python. Nothing exotic, nothing locked to us.

It all lives in your repositories and your cloud accounts from day one.

No lock-in by design. We build on a standard, well-supported stack any competent engineer can pick up after us, commit the reusable skills straight into your repo, and pair with your team on the way out. The code is yours, the accounts are yours, and the knowledge does not leave with us.

Founders. The people you meet are the people who do the work: one senior counterpart for your leadership, founder-level involvement, no bait-and-switch to a junior team after the contract is signed. We have built and run products of our own, which is rarer in consulting than it should be.

We are a European team working across European business hours. If you are a European business that wants senior AI leadership in a timezone that overlaps yours, that is exactly who we are built for.