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AI Strategy Consulting AI Vision: from AI ambition to enterprise-scale adoption

AI Vision is a structured consulting engagement that takes your organisation from isolated AI experiments to enterprise-scale adoption, with a clear strategy, prioritised roadmap and aligned leadership.

#1 AI Vision#2 AI Foundations#3 AI Drive

Three stages, one journey — from strategy to governance to technical delivery. Each stands alone, and you can enter at any point.

Why organisations stall Everyone is moving fast. Few are seeing results.

The pressure to adopt AI is real and growing. But between the vendor noise, the technology complexity and competing internal agendas, most organisations are standing still — not for lack of interest, but for lack of a clear starting point.

Sound familiar?

  • “We have pilots everywhere, but nothing is scaling.”
  • “AI is moving so fast and we haven’t even started.”
  • “The team don’t have the time or skills to catch up.”

The AI adoption gap

78%
of businesses see adopting technology like AI as a major priority
43%
have no formal AI strategy, policy or governance framework in place
15%
say their AI implementations have exceeded expectations (IDC, 2026)
12
weeks or fewer — a typical AI Vision engagement, tailored to your starting point

The service What is AI Vision?

AI Vision is a structured consulting engagement that helps enterprise organisations understand where they are today, and where they could be in an AI-augmented world. It sets out a clear vision and strategy for AI adoption, and the value it brings — before strategic investment, not after.

  • Maturity and baseline assessment
  • AI vision and strategy
  • Leadership alignment
  • Use case prioritisation
  • Governance framework

You need AI Vision when…

  • There is no enterprise AI strategy or roadmap in place
  • Leadership are struggling to align on AI priorities
  • You’re unsure where AI adds most value to the business
  • Teams are using AI, but no one knows what — or what impact it’s having
  • There are pilots everywhere, each running in isolation
  • There are plenty of ideas, but no central, defined direction
  • The board or a new CDO/CTO wants to see an AI vision document
  • AI investment feels reactive, not strategic

If any of these resonate, AI Vision gives your organisation the clarity to move forward with confidence.

Our approach Five steps to a strategy your whole business can stand behind

AI Vision follows our 5D Thinking framework for strategic leadership. Each step informs the next, and engagements typically run six to twelve weeks depending on your size and starting point.

  1. Inspire – board-level keynotes that build AI literacy and senior buy-in
  2. Discover – stakeholder interviews, data baseline, technology review, team capability
  3. Define – vision, strategy, roadmap, business case and scaling playbook
  4. Govern – C-suite guardrails aligned to risk appetite and responsible AI
  5. Scale – measurement framework and repeatable enterprise patterns

What you get Concrete deliverables, not just consultancy

AI Vision was built with change management in mind: a collaborative programme involving leadership, customers and champions across your business — delivering a strategy, roadmap and governance framework you can act on.

Inspire

Keynotes and provocations that build AI literacy and win leadership buy-in — the spark that gets your organisation aligned and ambitious.

What you get

  • Future of… keynote talk (senior management/board)
  • Art of the Possible — CX-focused future keynote (all teams)
  • AI Reinvention — if I started today, how would I do it?
  • The Case for AI

Discover

We listen before we advise — understanding your stakeholders, customers, data and technology, and where your teams are today.

What you get

  • Stakeholder interviews
  • Customer research
  • Data model/context baseline and recommendations
  • Technology review and future architecture
  • Roles and skills (current): team interviews

Define

Everything converges into the documents your board, budgets and delivery teams will actually run on.

What you get

  • AI Vision and Strategy
  • AI Maturity and Readiness Assessment (8 Pillars)
  • AI architecture (high-level/logical systems diagram)
  • AI Opportunities Roadmap (prioritised)
  • AI business case
  • Monitoring and evaluation framework
  • Enterprise scaling playbook

Outcomes What changes after AI Vision

You leave the engagement with four things most organisations never reach:

  • Aligned leadership — one coherent view of where AI takes you, and why now
  • Clear strategy — a documented plan that guides every decision and conversation
  • Clear objectives — value defined in KPIs the business already cares about
  • Prioritised use cases — what to pursue first, second and next, ranked by value and feasibility

The foundation for every investment that follows.

Why Remarkable Built for enterprise. Committed to outcomes.

Our AI Vision service is built on two decades of delivering data, CRM, personalisation and digital transformation programmes for enterprise brands. We connect AI to your commercial goals, not just your technology stack.

  • Strategy first — we start with commercial outcomes, not tools or vendors
  • Independent — no vendor ties, so every recommendation is right for you
  • Practitioners — consultants who have built AI strategies across financial services, manufacturing, property and retail
  • Joined-up — connecting directly to AI Foundations and AI Drive

Every engagement also plugs into Revolution — our perpetual growth model for connecting strategy, technology, creativity and data.

#2 in the journey After Vision comes Foundations

If AI Vision defines where and how AI creates value, AI Foundations builds the operational infrastructure that makes it work: governance, policy, tool selection, process mapping and agentic workflow design.

Without foundations, a vision stays on paper — AI remains fragmented, outputs stay inconsistent, and scale stays out of reach.

AI Vision: frequently asked questions

What is AI Vision?

AI Vision is Remarkable’s AI strategy consulting engagement. Over six to twelve weeks it takes an enterprise organisation from scattered AI experiments to a clear, board-backed AI vision and strategy — including a maturity assessment, prioritised opportunities roadmap, business case and governance guardrails.

What does an AI strategy consultancy actually do?

An AI strategy consultancy helps an organisation decide where AI creates the most value, in what order to pursue it, and how to govern it. That means assessing current maturity, aligning leadership around a shared vision, prioritising use cases by value and feasibility, and defining how success will be measured.

How long does it take to develop an enterprise AI strategy?

A typical AI Vision engagement runs six to twelve weeks, depending on organisation size and starting point. A focused leadership keynote can happen within days; a full programme covering discovery, strategy definition and governance takes the full period.

What is an AI maturity assessment?

An AI maturity assessment measures how ready an organisation is to adopt AI at scale. Remarkable’s assessment scores eight pillars — spanning strategy, data, technology, skills, governance and culture — producing a baseline, gap analysis and recommendations that anchor the AI roadmap.

Who should be involved in an AI Vision engagement?

AI Vision is designed for CEOs, CDOs, CTOs, CMOs and board sponsors — but it deliberately involves people across the business: stakeholder interviews, customer research and team capability reviews, so the resulting strategy carries organisation-wide buy-in rather than sitting with one department.

What deliverables do we get at the end?

Concrete, usable outputs: an AI Vision and Strategy document, AI Maturity and Readiness Assessment, high-level AI architecture, prioritised AI Opportunities Roadmap, AI business case, monitoring and evaluation framework, and an enterprise scaling playbook.

Do we need an AI strategy before adopting AI tools?

You can adopt tools without a strategy — most organisations have — but without a shared vision, pilots multiply in isolation, spend duplicates, and risk goes unmanaged. A strategy first (or alongside) means every tool decision, pilot and hire pulls in the same direction.

How much does an AI Vision engagement cost?

Engagements scale to fit: from a standalone leadership keynote, through a lighter-touch discovery and strategy package, up to a full enterprise programme. Talk to us and we’ll shape the engagement around your starting point and budget.

Ready to build your AI Vision?

From a leadership keynote to a full enterprise programme.

 

Are you ready to start your Revolution?

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