What is fractional AI advisory?

Fractional AI advisory gives an organisation part-time access to a senior AI leader who owns strategy, governance and vendor decisions, typically for one to four days per month. UK retainers start at around £1,950 per month, compared with £120,000 or more a year in salary for a full-time Head of AI.

The model suits organisations that need accountable AI leadership but cannot justify, or cannot yet fill, a permanent executive role. You get the judgement of someone who has led AI adoption across many organisations, applied to yours, at a fraction of the employment cost and with a fraction of the commitment.

The problem: AI decisions are being made without AI leadership

Most UK organisations are already making consequential AI decisions. Copilot licences have been bought. A pilot has run in one department. Someone in marketing is pasting client information into a free chatbot. A vendor is pitching an agent platform to your operations director. Each of these is an AI decision, and in many organisations nobody senior owns any of them.

The result is a familiar pattern: licence spend without measured return, pilots that impress in a demo and stall in production, shadow AI use that no policy covers, and a board asking questions that nobody in the room is accountable for answering. The technology is rarely the constraint. The absence of leadership is.

A full-time Head of AI or Chief AI Officer solves this at a cost most SMEs and mid-market organisations cannot justify: £120,000 to £150,000 in salary before employer costs, in a market where genuine AI leadership experience is scarce and slow to recruit. Fractional advisory exists because the leadership gap is real but the full-time role is not.

What the advisory covers

Four areas of ownership, each with a defined outcome.

AI strategy and roadmap. A prioritised, costed AI roadmap the board has signed off, tied to measurable business outcomes rather than tool adoption, and reviewed quarterly as the technology and your organisation change.

Governance and responsible use. A working AI policy your people actually follow, aligned to ICO guidance and your sector regulator where one applies, with data protection, acceptable use and human oversight defined before an incident forces the issue.

Vendor and tooling evaluation. Clear, evidenced decisions on where Copilot earns its licence, where Azure AI services fit, and where tools such as Claude or ChatGPT belong alongside them, made on your data rather than a vendor roadmap.

Executive and board reporting. A monthly view of AI spend, adoption, risk and value that a non-technical board can read in ten minutes and act on.

One thing the retainer deliberately excludes: hands-on delivery. When the roadmap calls for team enablement or training, that work is scoped separately through the AI Enablement Programme or workshops, so the advice is never shaped by a delivery pipeline that needs feeding.

Fractional AI advisory pricing

Pricing is published because it should be. You are evaluating a leadership hire; you should not need a sales call to learn what it costs.

Engagement	Commitment	Price
Advisory	Two half-day sessions per month, asynchronous access on Teams or email with a one-working-day response time, quarterly roadmap review	£1,950 per month
Embedded	One day per week equivalent (four days per month), governance ownership, vendor and tooling evaluation, executive and board reporting	£4,750 per month
Project day rate	Bounded engagements: AI readiness audits, landing zone reviews, due diligence	£1,250 per day

All retainers run on a three-month initial term, then rolling monthly with 30 days’ notice. Delivery is remote-first, with on-site days by arrangement and travel charged at cost.

The comparison that matters is not against other consultants. It is against the alternative hire.

	Embedded retainer	Full-time Head of AI
Year one cost	£57,000	£170,000 or more, loaded
Time to start	Two to three weeks	Four to six months of recruitment
Exit	30 days’ notice	Three to six months plus the risk of a mis-hire

Built for organisations on the Microsoft stack

Most AI advisory is tool-agnostic in a way that helps nobody. Your organisation is not a blank canvas: it runs on Microsoft 365, Entra ID, Purview and Azure, and any AI strategy that ignores that estate will be re-planned within six months.

Advisory here is grounded in the platform you already own. That means Copilot evaluated against measured usage rather than licence count, Azure AI Foundry and Fabric considered as the build and data layers they are, and Purview and Entra treated as the governance controls that make responsible AI use enforceable rather than aspirational. For the architectural side of this thinking, see the AI landing zone design pattern.

It also means honest multi-vendor thinking. Microsoft-house organisations increasingly run Claude or ChatGPT alongside Copilot, usually informally and ungoverned. Knowing when a second assistant genuinely earns its place, and how to govern coexistence rather than pretend it is not happening, is now part of the job.

Why an independent advisor rather than an agency

Twenty years in the Microsoft data platform, as a consultant and a Microsoft Certified Trainer. The advice comes from someone who has built, migrated, governed and taught this estate, not from a practice methodology.

Trained on both sides of the vendor line: Microsoft certified, and trained through Anthropic Academy, so multi-vendor recommendations rest on working knowledge of both platforms rather than a reading of the other side’s marketing.

Independent in the way that matters commercially. There is no bench to keep busy and no delivery team the advice has to feed, so a recommendation to do less, or to stop a pilot, costs nothing to give.

Backed by delivery capability when you want it. The AI Enablement Programme behind this advisory has produced results clients can count: one delegate reported automating a long-standing manual process mid-programme, with an estimated saving in the region of $400,000. Read what happened. Advice and delivery are scoped separately, but the advice is tested against real delivery every week.

How an engagement works

1. AI Readiness Assessment. Free and self-serve; establishes the baseline before anyone commits to anything.
2. Discovery call. 45 minutes, no charge. Fit, scope and which tier suits the situation.
3. Month one: audit and roadmap. Estate review, data readiness, use case pipeline, risk register, and a roadmap the board signs off.
4. Months two and three: foundations. Governance and responsible use policy in place; the first one or two prioritised use cases moving.
5. Quarterly rhythm. Roadmap review, board reporting, vendor decisions as they arise, and course corrections while they are cheap.
6. Handover by design. Internal ownership is defined from month one. The engagement is built to end when you no longer need it, and to get you there deliberately.

Who this is for, and who it is not for

This works for UK organisations of roughly 50 to 500 people running on the Microsoft stack, where an IT Director, CIO or COO owns the AI question without an AI background, and where licences have been bought but value remains unproven.

It is the wrong service for three situations. If you need a bespoke machine learning product built, you need engineering capacity, not advisory. If you are an enterprise needing an embedded team of AI specialists, a fractional day a week will frustrate you. And if you want a strategy document to file rather than act on, that is a cheaper purchase elsewhere.

Frequently asked questions

What does a fractional AI advisor do?

A fractional AI advisor owns an organisation’s AI strategy, governance and vendor decisions on a part-time retained basis. Typical work includes building the AI roadmap, setting responsible use policy, evaluating tools such as Copilot and Claude, and reporting AI risk and value to the board, usually across one to four days per month.

How much does fractional AI advisory cost in the UK?

Published UK pricing here starts at £1,950 per month for a light-touch advisory retainer and £4,750 per month for an embedded engagement of roughly one day per week. Bounded projects such as AI readiness audits are charged at £1,250 per day. Engagements begin with a three-month initial term.

What is the difference between a fractional Chief AI Officer and an AI consultant?

An AI consultant typically delivers a one-off project: an assessment, a strategy document or an implementation. A fractional Chief AI Officer holds an ongoing leadership role with accountability for outcomes: the roadmap, the governance and the decisions that follow. Consultants advise and leave; fractional leadership stays accountable.

When should a company hire fractional AI leadership instead of a full-time Head of AI?

Hire fractionally when AI decisions need senior ownership but the workload does not justify a permanent role costing £120,000 or more, which is typical in organisations under 500 people. Move to a full-time Head of AI when initiatives span multiple teams daily, or a regulator or board requires named full-time accountability.

What does an AI advisory retainer include?

A defined number of days each month, plus asynchronous access for questions between sessions with an agreed response time. Deliverables typically include the AI roadmap, governance documentation, vendor evaluations and monthly executive reporting. Anything requiring hands-on delivery is scoped separately, so the retainer stays predictable.

Do UK SMEs need a Chief AI Officer?

Most UK SMEs do not need a full-time Chief AI Officer, but they do need someone accountable for AI decisions, because those decisions are already being made: licences, pilots, staff using public AI tools. Fractional advisory provides that accountability at a cost proportionate to the size of the organisation.

How do I know if my organisation is ready for AI?

Readiness comes down to data quality, governance maturity and a clear view of which processes AI should improve. The free AI Readiness Assessment measures your organisation against these areas in about ten minutes and returns a scorecard, which is the standard starting point for an advisory engagement here.

Book a discovery call

45 minutes, no charge and no pitch deck. Bring your current AI position, however unformed. You will leave with an honest view of where the gaps are and what a plan would look like, whether or not we work together.