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AI Strategy

Roadmaps that boards can defend

We build AI strategies that connect capability to measurable business outcomes. Every recommendation comes with the evidence base boards need to approve investment.

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The Challenge

AI ambition without strategic clarity

Most enterprises know AI matters. Few can articulate why specific investments deserve board approval over competing priorities.

The gap between AI potential and defensible business cases creates paralysis—or worse, scattered pilots that never scale.

Common Tensions

  • Pressure to move fast vs. need for governance approval
  • Vendor promises vs. realistic implementation timelines
  • Innovation appetite vs. risk management requirements
  • Business unit demands vs. enterprise coherence

Our Approach

Strategy built for scrutiny

We don't produce strategy documents that gather dust. Every output is designed to survive board-level interrogation and enable decisive action.

1

Discovery & Alignment

We map your current state, strategic priorities, and stakeholder expectations. This creates shared understanding before any recommendations.

2

Opportunity Assessment

We identify AI use cases with genuine business impact, filter for feasibility, and prioritise based on value and risk.

3

Investment Case Development

We build the evidence base boards need: projected returns, risk assessments, capability requirements, and implementation timelines.

4

Roadmap & Governance

We deliver a sequenced roadmap with clear milestones, decision points, and governance checkpoints that boards can monitor.

Choose your starting point

AI Strategy Modules

Strategy modules you can pick up individually or combine into a full engagement, each tuned to Assurance or Enablement depending on where you feel the pressure.

Assurance

AI Strategy Blueprint

Turn AI pressure into a board-defensible plan.

Purpose: To give leaders a clear, defensible direction for AI — grounded in value, aligned to risk appetite, and executable in the real world.

Protects you from: Scattershot AI investments; Board misalignment; Vendor-led decision traps.

Best when: You need a defensible strategy leadership can back.

Scope your AI Strategy Blueprint →
Assurance

Risk-Adjusted AI Roadmap

A sequence, not a wishlist.

Purpose: To sequence AI investments based on value, feasibility, and organisational readiness.

Protects you from: Conflicting priorities; Mis-timed initiatives; Overlooked dependencies.

Best when: You need a staged delivery path the board can approve.

Scope your risk-adjusted roadmap →
Assurance

AI Investment Case & Financial Model

Give your CFO numbers they can trust.

Purpose: To ensure AI funding decisions are grounded in measurable ROI and risk-adjusted logic.

Protects you from: Budget pushback; Overstated benefits; Unclear ROI.

Best when: You need funding grounded in measurable, risk-adjusted value.

Scope your Model the AI investment case →
Assurance

Feasibility & Dependency Assessment

Find the blockers before they find you.

Purpose: To uncover constraints that determine whether AI can be deployed safely and successfully.

Protects you from: Pilots that don’t scale; Underestimated constraints; False confidence.

Best when: You need certainty on what’s viable before committing.

Scope your feasibility & dependency check →
Enablement

AI Operating Model (Strategy Layer)

Make it clear who owns what in AI.

Purpose: To define how AI is governed, funded, owned, and operated enterprise-wide.

Equips you to: Assign ownership; Clarify decision rights; Enable accountable delivery.

Best when: You need structure in place before scaling AI.

Scope your Design your AI operating model →

What You Get

Deliverables designed for action

Every Offering above produces concrete artefacts designed to be used — not shelved. These deliverables are formatted for executive decision-making, board scrutiny, and real-world implementation.

AI Strategy Document

Board-ready strategy with vision, priorities, and investment rationale.

Use Case Portfolio

Prioritised AI opportunities with feasibility and value assessments.

Investment Case

Financial model with projected returns, costs, and risk-adjusted scenarios.

Capability Roadmap

Sequenced plan with milestones, dependencies, and resource requirements.

Governance Framework

Decision rights, oversight mechanisms, and escalation pathways.

Executive Briefing

Presentation-ready materials for board and leadership communication.

Expected Outcomes

What changes after we engage

Strategic Clarity

Leadership aligned on AI priorities with clear investment rationale.

Board Confidence

Evidence-based recommendations that survive governance scrutiny.

Execution Readiness

Actionable roadmap with defined next steps and resource requirements.

Ready to build a strategy boards can defend?

Start with a conversation about your AI ambitions and governance requirements.

Start the Conversation