Most AI investment stalls — not on the technology, but on the adoption: how it lands with your people, inside your operations, at the pace your business demands. This work is built for the parts other audits skip.

The question your board is asking has changed

Two years ago, leadership teams were asking "Should we be doing something with AI?" That question has been answered. AI is now expected — by your board, your investors, your customers, and increasingly by your people.

The question that's replaced it is harder, and more honest: "Where exactly is AI going to deliver measurable value to this business — and how do we make sure that value actually lands?"

That's a different conversation. It needs a different kind of advisor — one who understands both the commercial logic and the human reality of making AI work inside an organisation.

The technology isn't the hard part. Making it land is.

The published numbers are stark. Gartner expects 40% of AI projects to be abandoned by 2027. MIT research shows the majority of enterprise AI pilots never convert into measurable business value.

The pattern is consistent — across sectors, sizes, and AI maturity levels:

• The technology works. Models do what they're supposed to do.

• The pilots run. Demos get built, decks get presented.

• And then — value does not lands

Why? Because identifying AI opportunities is the easy half. The hard half is everything that determines whether they actually deliver:

• Your people adopt the new way of working — or quietly work around it.

• Your operating model absorbs the new capability — or rejects it.

• Your culture treats AI as something that amplifies people's work — or something that threatens it.

• Governance enables responsible scale — or becomes the bottleneck that kills momentum.

Most AI audits stop at the opportunity. This work is designed for the whole path — from opportunity, through adoption, to value captured.

What you get

A clear path from AI ambition to a funded, defensible next move — designed to land in the real conditions of your business.

1. A prioritised AI portfolio 5–7 opportunities, chosen because they compound — not because they look impressive on a slide. Each one mapped across two equal-weight lenses: how AI reshapes your customer proposition, and how it reshapes the way your business actually runs. Each one stress-tested for value, feasibility, and — critically — for how it will land with the people who'll use it.

2. A working prototype of your highest-value opportunity Not a slide. A usable, working AI capability your leadership team can see and interact with — built within the engagement. Most audits deliver a deck. This one delivers proof.

3. A board-ready case to fund the next move The strategic narrative, the business case, the 90-day next step, and the foundations plan — packaged for the board conversation that decides whether the next move gets funded.

You leave with the clarity, the conviction, and the case to act.

Built on practitioner experience, not theory

Live anchor engagement. GAIA is delivering an Organisational Brain build for the largest academic publisher in the sector — a strategic AI infrastructure project at the centre of how the organisation will operate over the next decade.

Active market validation. Three further Organisational Brain engagements in the pipeline from fast-growing companies. The flagship proposition is being pulled, not pushed.

Practitioner experience at scale.

Significant hands-on delivery experience inside major change programmes at:

• OUP — introducing lean product design to product teams in the English Language Teaching division. The work has delivered measurable results in time savings and product quality.

• Shell — leading experience strategy of the advanced analytics programme in the global commercial organisation.

And direct delivery of:

• BP Trading & Shipping (Liquefied Natural Gas team) — an AI Opportunities Audit, directly the type of work GAIA now offers.

This combination — inside experience on major change programmes, plus direct ownership of AI audit work at a global energy major — is rare in AI consultancy founders, who typically come from technology or pure-strategy backgrounds.

Original method IP. The Organisational Brain framework. The Human-Centred AI Capability Journey. The Three-Waves portfolio discipline. The ecosystem and AI operating system lens. These aren't repackaged frameworks — they're the substance behind GAIA's work, and they're the reason this work produces outputs other consultancies can't.

How the Sprint works

The flagship engagement is a 3-week Sprint. Three phases.

Phase 1 — Pre-work (Week 1) Executive sponsor questionnaire, 60-minute scoping call, 3–5 stakeholder interviews, sector AI-landscape briefing, AI-native competitor scan. Reading pack sent to attendees in the week before the workshop.

Phase 2 — Workshop (Week 2, 2 days on-site)

Day 1 — Diagnose and Imagine. We map the AI-native version of your business — the version a well-funded start-up would build today with no legacy to defend. We surface opportunities across two equal-weight lenses: how AI reshapes your customer proposition, and how it reshapes your operating model. By end of day: 20–30 candidate opportunities on the wall.

Day 2 — Prioritise and Commit. We prioritise. We cut. We build the portfolio of 5–7 opportunities designed to compound. We sketch the hybrid AI + human team designs for the top priorities. We name owners, metrics and stop conditions. We close with a leadership decision on the first move.

Phase 3 — Synthesis (Weeks 2–3) A working prototype of your highest-value opportunity, built and delivered within 10 working days of the workshop. A 12–18 slide board-ready deck. A 2-page executive memo. A 45-minute check-in call at week 4 to keep momentum.

For organisations ready to go further: the AI Opportunities Audit extends this structure to 5–6 weeks with deeper discovery, a parallel adoption diagnostic, high-level business cases for each priority, detailed hybrid team designs, a foundations and operating model read, and an AI operating system view. Most clients arrive at the Audit through a Sprint relationship.

What makes this work different

Most AI audits produce a list of opportunities. This one produces a portfolio engineered to land.

Why this work is different at the source.

Most AI consultancies are led by people from technology backgrounds, or from management consulting backgrounds. Both bring real strengths — and both leave a gap. Technology-led advisors focus on what can be built. Strategy-led advisors focus on what should be built. Almost no AI consultancy is led by someone with deep expertise in human-centred design, customer experience strategy, service and operational design, system design, and the human side of organisational change.

GAIA is. That combination — applied to AI strategy — is what makes this work produce outputs other firms can't.

The seven things you get that most audits skip:

Stress-tested for the real conditions of your business. Every opportunity tested for operational fit, stakeholder dynamics, and adoption risk — the three things that determine whether AI initiatives actually land. Grounded in hands-on experience inside major change programmes at organisations like OUP, Shell and BP.

Workforce readiness diagnosed from day one. Where your people are on the AI journey is what determines whether adoption happens fast — or stalls. We map readiness for the prioritised use cases and design the portfolio around it.

How humans and AI work together — by design. For each priority opportunity, a hybrid team design: who does what, where decision rights live, how trust is built. Not "to be developed in change management" — sketched and debated inside the engagement.

A compounding portfolio, not fragmented pilots. Opportunities chosen because they reinforce each other and build durable assets — data, capability, infrastructure, trust. The difference between AI activity and AI advantage.

A coherent AI capability that compounds over time — not 24 disconnected projects that never add up. Your priorities sequenced as components of an intelligence infrastructure your business builds toward — with a 12-month rolling roadmap and a longer-term vision, not a static 3-year plan that won't survive 2026.

Cultural and behavioural change — the conversion design that makes ROI land. Most pilots don't fail on technology. They fail on adoption. We name the dominant resistance pattern for each priority and design the intervention shape upfront.

Responsible AI as competitive advantage. Trust accelerates approval, defends the brand, and earns the right to scale. Built in from the start, not bolted on at the end.

The old way of doing AI strategy is over

The first wave of AI consulting borrowed its playbook from management consulting — long studies, deck-heavy outputs, opportunity lists scored on a 2×2. That playbook is breaking. AI moves too fast for it. Implementation is too human for it. And the conversion rate from strategy to value tells you the rest — industry research consistently finds the majority of AI pilots never deliver measurable business value.

The new way is different.

The old way

20+ opportunities, low conviction

Strategy deck as the deliverable

Change management deferred to "someone else"

Use cases scored on a 2×2

Wave 3 reinvention parked at "year 3"|

Junior teams, senior cover at the kick-off

Vendor relationships shaping the recommendations

Static 3-year roadmap that won't survive 2026

Engagement ends, relationship ends

This work is built for the new way. Many of our clients arrive having tried the old way first.

Three ways in: sized to where you are

Three formats, three different starting points. Choose based on where your leadership team is and what they need first.

AI Opportunities Discovery — half day

The most strategically important AI conversation for your leadership team — in a single afternoon.

A focused 3.5-hour working session that surfaces the AI opportunities that matter most, aligns your senior team on the top 3 priorities worth a serious next move, and delivers a board-ready summary within 5 days.

Best for: leadership teams who want to test the conversation and the chemistry before committing to a deeper engagement.

Fee: £4,500 (50% credits toward a Sprint within 60 days)

CTA button: See full Discovery details Link to the Discovery page on SquareSpace

AI Opportunities Sprint — 3 weeks (flagship)

Three weeks to a leadership team aligned on the shape of your AI strategy — and a working prototype that proves the case.

A focused intervention built around a 2-day on-site workshop, supported by targeted pre-work: executive sponsor questionnaire, 3–5 stakeholder interviews, sector AI-landscape briefing, AI-native competitor scan.

You leave with:

• A prioritised AI portfolio — 5–7 opportunities across the customer proposition and the operating model

• A working prototype of your highest-value opportunity, delivered within 10 working days of the workshop

• Hybrid AI + human team sketches for your top 2–3 priorities

• A 12–18 slide board-ready deck and 2-page executive memo, including named owners, success metrics, kill criteria, and 90-day next steps for each priority

• A 45-minute check-in call at week 4

Best for: leadership teams ready to commit to a focused engagement that surfaces the strategic AI opportunities, proves the case with a working prototype, and lands a board-ready next move.

Fee: £22–30K (scope agreed on the discovery call)

AI Opportunities Audit — 5–6 weeks

The deeper engagement for organisations ready to commit to AI as a strategic capability at scale.

A full diagnostic engagement: deeper discovery (8–12 stakeholder interviews, workflow shadow-mapping, data landscape review, parallel adoption diagnostic), a 2-day leadership workshop with richer foundations underneath, and full synthesis.

You leave with — everything in the Sprint, plus:

• High-level business cases for each priority — directional impact range, indicative cost, success metrics, kill criteria — structured so your finance and operations teams can validate the detail in the way they prefer

• Workforce readiness diagnostic — focused on the prioritised use cases, with broader patterns identified

• Detailed hybrid AI + human team designs for your top 3–5 priorities (sketched for the rest)

• Foundations and operating model read — an honest assessment of the data, knowledge, tech, talent and governance you need in place, with the sequencing recommendations for what must come first

• AI operating system view — a 12-month rolling roadmap with quarterly OKRs, set within the longer-term intelligence infrastructure you're building toward

• One working prototype (a second is available as an add-on if a clear case emerges)

• Three follow-up calls across 90 days

Best for: organisations ready to make a serious, funded commitment to AI as a strategic capability — and who need the depth, the diagnostic, and the board-ready case to justify it. Most clients arrive at the Audit through a Sprint engagement.

Fee: £75–110K (scope agreed on the discovery call)

CTA button: Book a call

Upgrade credits

• Discovery → Sprint: 50% of Discovery fee credits toward a Sprint booked within 60 days

• Sprint → Audit: 100% of Sprint fee credits toward an Audit booked within 60 days. The upgrade adds the deeper discovery and full synthesis the Audit requires, including a focused half-day to full-day decision workshop. Total elapsed time from Sprint completion to full Audit delivery: typically 3–4 additional weeks.

Beyond the engagement

The work above is the start of the bigger move. Not the end of the engagement.

For most organisations, the output points to something larger than a list of projects. It points to the AI operating system the business needs to build — the intelligence infrastructure that turns AI from a portfolio of initiatives into a strategic capability.

GAIA builds these. We call it the Organisational Brain.

Three integrated components — your organisation's knowledge and decision logic made operational; an always-on intelligence engine that scans your market and generates strategic ideas; and a knowledge layer that serves your customers and colleagues with precision.

A client with a strong Sprint or Audit naturally moves into Org Brain conversations. We don't sell it during the engagement. We name it where it fits, and we let the work speak.