Senior AI leadership without the full-time commitment

Embedded AI leadership on a flexible basis. We set your model strategy, evaluation frameworks, operating standards, and cost structure — then hold accountability for delivery alongside your team.

You need AI leadership, not another non-technical consultant with a vibe-coded demo

You know AI matters to your business but don’t have the in-house expertise to make the right architectural, commercial, and governance decisions. Hiring a full-time Head of AI can cost £250–400k+ and takes 6–12 months. An AI consultant gives you a strategy document and leaves. You need someone who is accountable for outcomes, embedded in your team, but doesn’t require a permanent headcount.

CTOs being asked to "own AI" alongside everything else — leading to diluted focus and skills gaps

Previous bad experiences with AI consultants who delivered strategy documents nobody used, and fumbled no-code demos

Boards and investors asking about AI strategy and getting vague answers

Engineering teams experimenting with AI tools without governance, evaluation, cost controls, or direction

What we deliver

AI strategy

Where AI creates material value in your business, what to build vs buy, realistic timelines.

Model strategy

Which models for which tasks, cost projections, vendor evaluation.

Evaluation frameworks

How to measure whether your AI systems actually work.

Operating standards

Prompt management, testing, deployment processes, incident response.

Cost governance

LLM spend tracking, optimisation, budget forecasting.

Team development

Upskilling your engineering team on AI-native development practices, by people who actively build this with hands-on knowledge.

Board reporting

Clear, honest communication about AI capability, risk, and ROI.

Regulatory posture

Ensuring your AI deployment is defensible under regulatory regimes like the EU AI Act and sector-specific regulation.

How it works

Typical engagement: 2–5 days per month, embedded in your leadership team.

01

Assessment

First 2 weeks

Audit current AI usage, architecture, costs, and team capability.

02

Strategy & Roadmap

Weeks 2–4

Define where AI creates value, target architecture, phased plan.

03

Ongoing Leadership

Monthly

Attend leadership meetings, set standards, review architecture decisions, govern spend, unblock your team.

How fractional AI leadership compares

Fractional Head of AIFull-Time Head of AIAI ConsultantInterim
Annual cost£48k–£120k£250k–£400k+£30k–£120k (project)£150k–£250k
Time to startImmediate6–12 monthsImmediate2–4 weeks
AccountabilityYes — embedded, ongoingYesNo — advisory onlyYes, but temporary
Strategic depthFull strategy + executionFullNarrow scopeFull, short-term
Regulatory expertiseLaw-qualified teamRareRareVery rare
FlexibilityMonthly, scales up/downFixed costProject-scopedFixed term

Who this is for

Growth-stage companies (Series A–C) where AI is becoming core to the product but there is no dedicated AI leadership

Businesses with engineering teams experimenting with AI who need someone to set direction and standards

Companies preparing for investment, acquisition, or regulatory review who need their AI posture to be defensible

Organisations where the CTO is stretched too thin to give AI the strategic attention it needs

Our credentials

Decades
of senior engineering leadership
2+
Acquisitions supported
by our leadership team
Law
Qualified team with legal
and regulatory expertise
60–90%
Engineering throughput improvements via AI

Frequently asked questions

Need senior AI leadership without the full-time cost?

Let’s discuss how fractional AI leadership can accelerate your AI strategy while keeping costs and commitment flexible.