Designed for teams who…

You're a large domestic or multinational organisation with various departments exploring AI independently, but you lack a cohesive vision, shared understanding of value, or prioritised roadmap for enterprise-wide adoption. Your board is asking for a unified AI strategy, teams are running fragmented pilots without clear ROI, or you're struggling to scale AI initiatives beyond proof-of-concept. You need strategic clarity that aligns AI investments with core business objectives whilst managing enterprise-level risks.

This service is designed for organisations that:

Are mid-market to large enterprises or multinationals experimenting with AI across business units
Operate in risk-sensitive sectors (financial services, healthcare, government, professional services)
Have executive sponsorship but lack structured guidance to scale AI safely
Experience fragmented AI pilots with inconsistent approaches and unclear paths to production
Face board or executive pressure for AI progress with insufficient oversight
Need to align diverse AI initiatives with overall business strategy and risk appetite

You're a CTO, CIO, COO, Chief Risk Officer, CDAO, or Chief Strategy Officer responsible for establishing enterprise-wide AI direction—transforming scattered experiments into strategic, coordinated initiatives that deliver measurable business value.

Problem → Outcome

Establish a clear, executive-aligned AI strategy and actionable roadmap that drives responsible, value-driven AI adoption at scale.

Key Outcomes

Strategic clarity and alignment: Develop a clearly articulated AI vision and strategic objectives that directly link to at least 3 overarching business goals. This creates enterprise-wide understanding of AI's role and ensures technology investments support your strategic direction, with documented agreement from 80%+ of C-suite stakeholders.
Prioritised AI portfolio: Identify and prioritise 5-10 high-value use cases based on rigorous assessment of business value, technical feasibility, data readiness and strategic alignment. This focuses resources on initiatives with highest potential for measurable impact, reducing AI initiative fragmentation by 50% through consolidation and clear prioritisation.
Accelerated time-to-value: Establish a practical, phased roadmap that shortens the cycle from AI concept to tangible business outcomes. Clear value drivers and prioritisation enable you to move initiatives from experimentation to responsible, scalable execution faster, improving likelihood of achieving positive ROI.
Enhanced executive confidence: Provide leadership and board with robust, data-driven AI strategy that enables confident decision-making and investment. Executive-ready deliverables demonstrate clear linkage between AI initiatives and business objectives, substantially increasing stakeholder assurance in your AI direction.
Reduced shadow AI risk: Bring unmanaged AI adoption under strategic oversight by providing a clear, sanctioned path for AI exploration and deployment. This reduces the prevalence of fragmented, uncontrolled experiments whilst enabling innovation within defined guardrails, mitigating compliance and security risks.

How the engagement works

Whats Included

This comprehensive strategy engagement delivers enterprise-wide AI direction:

Strategic Foundation:

Current State Assessment: Detailed evaluation of existing AI capabilities, initiatives, data maturity and organisational readiness across the enterprise
AI Vision & Objectives: Collaboratively defined enterprise AI vision, mission and strategic objectives aligned with overall business goals and risk appetite
Executive Stakeholder Alignment: Structured engagement ensuring C-suite and business unit leader buy-in on strategic direction

Use Case Development:

Opportunity Identification: Discovery and framing of potential AI use cases across business units and functions
Value Assessment: Rigorous evaluation of business impact, technical feasibility, data availability and resource requirements
Portfolio Prioritisation: Strategic ranking of initiatives based on value, feasibility, strategic fit and risk considerations

Strategic Roadmap:

Phased Implementation Plan: High-level, executive-ready roadmap outlining key initiatives, milestones and resource considerations across phases
Responsible AI Integration: Embedding of responsible AI and governance principles as foundational elements of the strategy
Success Metrics: Definition of clear KPIs and success criteria for measuring AI strategy progress and business impact

Executive Deliverables:

Board-Ready Presentation: Polished strategic recommendations and roadmap in formats suitable for executive leadership and board communication
Strategic Documentation: Comprehensive AI strategy documentation for ongoing reference and alignment

Engagement Model

We deliver through a structured, collaborative approach over 4-6 weeks:

Phase 1: Discovery & Assessment (Weeks 1-2)
We engage key stakeholders across your organisation—executives, business unit leaders, technical teams and risk/compliance functions—to assess current AI landscape, strategic priorities and organisational readiness. Through interviews and workshops, we understand your existing initiatives, data maturity, competitive context and appetite for change. This creates a comprehensive baseline and identifies strategic opportunities.

Phase 2: Strategy Development & Prioritisation (Weeks 2-4)
Our experts analyse your opportunities, map them to business objectives and develop your AI vision and strategic framework. We work collaboratively with your team to identify high-value use cases, conduct rigorous prioritisation and integrate responsible AI principles. You'll see your fragmented activities transform into a cohesive portfolio with clear rationale for investment decisions.

Phase 3: Roadmap & Alignment (Weeks 4-6)
We develop your phased AI roadmap with clear milestones, resource considerations and governance touchpoints. Through validation sessions with executive stakeholders, we refine recommendations and secure buy-in. The engagement concludes with board-ready presentations and comprehensive documentation that equips your leadership to champion and execute your AI strategy with confidence.

Estimated Time

4-6 weeks, depending on organisational size, complexity and stakeholder availability.

AI Strategy Enterprise

Designed for teams who…

Problem → Outcome

Key Outcomes

How the engagement works

Whats Included

Engagement Model

Estimated Time

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