AI Strategy & Consulting

Most buyers searching for executive AI advisory expect either a vague retainer or a vendor pitch dressed as strategy advice. That scepticism is rational: it describes the majority of what the market offers.

At Graph Digital, Executive AI Advisory is built on a different premise: an engagement structured around decisions and defined outputs, not time. Gartner forecasts that by 2028, AI agents will intermediate more than $15 trillion in B2B purchasing. Organisations that reach that point without a structured AI decision layer will have compounded their exposure for years. The question is not whether to get that decision architecture in place — it is whether the advisory model you engage is designed to produce it.

Two versions of AI advisory dominate the market. Neither produces decisions.

The first is the open-ended retainer — a named advisor, regular calls, no defined output, no mechanism for knowing when you are done. Budget accumulates. Decisions do not. The structural incentive in this model is prolonged engagement, not decision velocity.

The second is the so-called AI expert who discovered generative AI in 2025 and has never held P&L responsibility for a technology decision. The advice is confident. The accountability for commercial outcomes is zero.

The missing ingredient is not access to AI knowledge — it is the commercial judgment that comes from two decades of watching technology cycles play out under real business pressure.

Stefan Finch's first AI project was in 2019, a 1.9PB enterprise engagement alongside Microsoft engineering teams, working around a whiteboard with clients making real capital allocation decisions. That foundation is 25+ years in enterprise and mid-market technology across dotcom, mobile, cloud, and now AI, not as an observer, but as someone accountable for what the technology had to produce commercially. Gartner predicts that 30% of generative AI projects will be abandoned after proof of concept by end of 2025, citing poor data quality, escalating costs, or unclear business value: a pattern that accelerates when there is no structured decision layer in place. This is also what happens when AI sits inside IT rather than at the decision layer: activity accumulates, but accountability for commercial outcomes does not.

Graph Digital's Executive AI Advisory is built on that foundation. The entry point is the AI Portfolio Review — a fixed-fee, time-boxed engagement that produces a board-ready view of current AI performance and the Keep/Kill/Scale decisions required before the next investment cycle. Advisory that follows is scoped to decisions, not to time.

The structural distinction is simple: an engagement built around decisions and defined outputs creates accountability. A retainer does not.

Executive AI Advisory is structured around decisions and defined outputs, not time-billed retainers.

The difference is not seniority. It is whether the engagement has a defined first output, a named person accountable for delivering it, and a mechanism for deciding whether to continue. Stefan Finch delivers Graph Digital's Executive AI Advisory directly — not a delivery team or associate layer. One accountable person throughout, from the initial scoping conversation to the final output.

Advisory that follows is outcome-scoped, not time-scoped. It continues when there are decisions to make, not because a retainer is running. The advisor has a structural incentive to produce decisions, not to prolong the engagement.

I have watched this failure pattern across four technology shifts: dotcom, mobile, cloud, and now AI. With 25+ years in enterprise and mid-market technology, including a Microsoft AI project at 1.9PB of data, I built this practice to close the gap between AI activity and demonstrable commercial outcomes — and to help organisations move beyond copilots and AI assistants to the more demanding governance questions that come with agentic AI.

The AI Portfolio Review is the entry point for Executive AI Advisory at Graph Digital. Time-boxed. Fixed-fee at £7,300. Four named deliverables in 4–6 weeks.

This is not a commitment to a programme. Understanding fit takes a 30-minute scoping conversation. If the conversation reveals the engagement will not produce a clear picture of commercial return, it ends without an invoice. Full detail is on the AI Portfolio Review page.

Advisory after the review is scoped to outcomes, not time. The decision to continue is made at the 75-day mark, not a contract renewal date.

The day 75 call covers the portfolio outlook, the next AI investment cycle, and the decisions now in front of the organisation. If ongoing advisory makes sense, it continues. If not — decisions made, governance working, or implementation now needed — it ends. No auto-renewal. No lock-in.

Executive advisory in 2026 is increasingly about governance and regulatory readiness as much as commercial return. Boards are asking whether their AI investment exposes them to compliance risk under the EU AI Act and emerging UK equivalents, not just whether it is returning value. A structured advisory engagement addresses this directly: the operational feasibility criterion in the Portfolio Decision Framework includes regulatory readiness as a dimension. An initiative that is commercially viable but exposes the business to compliance risk fails the criterion on those grounds. Boards that engage advisory partly to ensure they are governing AI responsibly — not just to optimise it — are making a rational decision in 2026.

Executive AI Advisory and a Fractional Chief AI Officer (CAIO) arrangement are both structured models, and both are approaches we work with at Graph Digital. The distinction is in what the organisation needs and how quickly it is executing on AI.

Executive AI Advisory is engagement-scoped with defined outputs. It begins with the AI Portfolio Review, then continues as a decision governance layer for as long as active AI investment decisions need to be made. The right fit: an organisation with meaningful AI investment already running that needs an external decision framework and board-level accountability, without adding permanent executive headcount.

A Fractional CAIO arrangement is a time-based resource commitment with ongoing operational responsibility: acting as a C-suite AI executive on a shared-time basis, owning the AI agenda operationally. The right fit: an organisation that needs permanent-equivalent AI leadership to build and run the AI function, without the full-time hire cost.

The question is whether you need decision governance over an existing portfolio, or operational leadership to build one. Both are legitimate starting points — the right model depends on where your organisation is.

These questions apply to any advisory offer — including ours.

1. What is the defined first output, and when will you have it? No defined first output means you are buying time, not outcomes.

2. Who specifically delivers this — a named person or a team? One accountable person is a defined accountability structure and a structural safeguard against quality dilution.

3. What is the continuation model: a defined review point or automatic renewal? Advisory that auto-renews is a retainer. Ask where the review point is.

4. Does the advisor have any commercial interest in the tools they might recommend? Vendor neutrality is a baseline requirement. Ask directly about referral arrangements or platform alignments.

Right for: organisations with a real AI portfolio decision problem — meaningful budget deployed, no clear board-level view of return, a need for an external decision framework before the next investment cycle.

Not right for: organisations at the very start of AI exploration with nothing yet deployed. Not right for those who need implementation capability, not strategy. Not right for those expecting a specific platform recommendation — the engagement is vendor-neutral.

Three signs your current AI advisory is not working:

• You have not been asked to stop a project in the last six months. Your advisor is managing the portfolio, not governing it.
• Your advisor's invoices are not connected to any named commercial outcome. You are buying time, not decisions.
• You have a roadmap document but no mechanism for deciding what gets added to it. The governance layer is missing.

If any of these apply, the issue is structural, not advisory quality.

For the CFO: Two structured entry points with no open-ended risk.

Internal buy-in is easiest when the spend is bounded and the output is a defined commercial asset. There are two distinct paths:

• Option 1: The AI Portfolio Review (Diagnostic). A fixed-fee engagement at £7,300. This is a 4–6 week, time-boxed audit that produces a board-ready view of current AI performance. It is a one-off capital allocation exercise with a clear exit.
• Option 2: Ongoing Executive Advisory (Governance). A monthly arrangement starting from £3,000/month. This provides the decision architecture required to govern the roadmap as it scales. There is no auto-renewal; the value is reviewed every 75 days to ensure the decision logic remains relevant.

For the Board: A decision mechanism, not a discovery phase.

• No "Discovery" Bloat: Whether choosing a one-off review or ongoing advisory, the focus is on Keep/Kill/Scale decisions — not generic workshops or programme phases.
• Direct Accountability: Stefan Finch delivers the advisory directly, removing the delivery team layer that often dilutes the quality of board-level advice.
• Commercial Logic: Both options are designed to free up capital — typically £80k–£200k in the first 12 months — rather than simply adding new costs.

A scoping conversation is 30 minutes. No proposal document required. The conversation is not a sales presentation and commits you to nothing.

It covers: where you are with AI and what questions the board cannot currently answer clearly; whether a structured entry point is right for your decision problem; what the engagement would look like in your situation.

If fit is established, Stefan confirms scope, timeline, and fee. If not, the conversation ends without an invoice, and with a clear view of what the right next step actually is.

Book a scoping conversation with Stefan — 30 minutes to establish whether the AI Portfolio Review is the right entry point and what the engagement would look like for your situation.