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YOUR AI DECISIONS, TAKEN WHEN THEY ARRIVE

Fractional AI Leadership

You keep an AI executive's judgement close without hiring one: a standing counterpart for your leadership team, on a defined monthly arrangement. Never required, never operations. If it ended tomorrow, nothing in your operation would stop working.

WHO IT'S FOR

The decisions stopped being occasional.

A vendor pitch lands. Group headquarters sends a directive. A department wants a tool. The rules shift. Someone has to hold the line on what gets started, stopped and postponed, and in most organisations that someone is an already overloaded CIO, or no one.

Hiring a full-time AI executive is the textbook answer, and for many organisations it is premature: the decisions are continuous, but they are not yet a full-time job. Fractional AI Leadership is built for exactly that gap.

This is not a stand-in for someone who has left, and not a bucket of hours to draw down. It is a standing counterpart to your leadership team in a defined monthly arrangement, and one you can end without anything in your operation stopping.

WHAT YOU GET

This sits with us, not with you.

01

A standing counterpart in your leadership team.

Prepared, accountable, and there when the AI question reaches the agenda.

02

Your AI portfolio kept prioritised.

What to start, what to stop, what to let wait, and why.

03

Vendor proposals and internal initiatives.

Evaluated as they arrive, with no partner programmes and no stake in the outcome.

04

Regulatory shifts translated into decisions.

What a change means for you, not a news feed.

05

Sparring for the people driving AI internally.

The second pair of eyes they don't have in-house.

ONE RULE

Judgement scales. Hours don't.

One rule governs the arrangement: fractional leadership works when the value scales with judgement, and it collapses when the value scales with hours. So this is judgement. If what you actually need is hands-on capacity, a project lead, an engineer, more arms, we will say so. That is a hiring conversation, not a bigger retainer.

The same rule keeps us out of your operations. We don't run your systems, on retainer or otherwise: that is capacity rather than judgement, and it is the one thing that would make us hard to leave.

WHY THIS EXISTS

Built to be easy to leave.

Most of our work is a defined engagement with an end date, by design. The AI Readiness Assessment delivers and closes. An implementation transfers and leaves. AI governance is built with you and handed over. We don't normally work on retainer, and we like it that way.

This is the exception, for situations where the decisions genuinely keep arriving. And it is built to stay safe to have: if it ended tomorrow, nothing in your operation would stop working.

No system depends on it. No process waits for us. It continues month to month because it earns its place, not because a contract traps you.

HOW IT WORKS

A fixed fee and a set cadence.

A defined scope and cadence, agreed up front. A fixed monthly fee, never hours. The counterpart you get is the senior who carries the role, named before you start and the same one throughout.

What sits inside is decisions, not deliverables on a schedule. Work that belongs in a project is scoped as one, with a start, an end and its own fixed price.

It often starts after an assessment or an implementation, when the direction is set and you want the judgement to stay close. It can also start standalone.

QUESTIONS

Before you bring in a fractional AI leader.

A fractional chief AI officer gives your leadership team a standing counterpart on AI decisions, in a defined monthly arrangement at a fixed fee. It is not interim staffing to cover a post someone has left, but a share of the AI executive you cannot yet justify hiring full time. The counterpart you get is the senior who carries the role, named before you start and the same one throughout, and the arrangement is scoped by cadence and decisions rather than clocked hours.

Fractional AI leadership is never required after an AI implementation, because what we build is transferred in full and runs without us. It is always a separate, voluntary decision afterwards, for organisations that want the judgement to stay close when the next decision arrives. We build nothing that depends on us staying, and no part of a delivery is held back in order to create a need.

A fractional AI leader works to a cadence agreed before the engagement starts, not to clocked hours. The arrangement runs month by month at a fixed fee, and the cadence, meaning how often we meet and what sits with us in between, is settled up front. The person in the room is the senior who carries the role: prepared, accountable, and the same one month after month.

A fractional chief AI officer costs a fixed monthly fee, scoped to your situation in a call before anything starts. We sell no hours, here or anywhere else, so the fee is tied to scope and cadence: how often we meet and which decisions sit with us. You get the price before you take a position on it, not after.

A fractional AI leadership arrangement can be paused or ended, and it is built that way: it continues month by month because it earns its place, not because a contract traps you. Nothing in your operation stops working if you end it, since everything we build is handed over and stands on its own. No system depends on the arrangement and no process waits for us, so there is nothing to negotiate your way out of.

Hire a full-time AI executive when the AI decisions have become a full-time job. The signs are recognisable: AI sits on every leadership meeting, several initiatives run in parallel, and someone has to own them daily rather than monthly. We will say so when that point arrives, because an arrangement that outstays its usefulness helps no one. Fractional AI leadership is the bridge to that hire, not a way of postponing it.

Bring us the decisions that keep arriving.

One conversation settles whether the gap is real: whether what you need is a fractional leader, a defined project, or a hire. If the honest answer is a hire, that is what you will hear.