We build data and AI strategies that connect business ambition to technical reality. Not a vision document — an investment-grade plan with sequenced execution phases and clear business cases.
Book a diagnostic callMost AI strategies are either technology wishlists disguised as strategy, or strategy decks that never survive contact with reality. The first falls short because it ignores the business model. The second falls short because it ignores the operating model.
A real strategy answers three questions: where will AI create the most value in our specific business? What do we need to build (and stop) to get there? And how do we sequence investments to generate returns fast enough to fund the next phase?
The mandate to "become AI-driven" is clear. The path to get there — budget, priorities, sequencing — is not.
Previous strategy work produced impressive documents that had no operational follow-through.
AI initiatives scattered across the org — no central view of what's working, what to scale, what to kill.
Gut-level conviction that AI matters, but no rigorous framework to size the prize and build the business case.
Everything your board needs to commit — and everything your teams need to execute.
Mapping of AI opportunities to your value chain, scored by impact, feasibility, and strategic alignment.
Quantified business cases for top 5–8 use cases with ROI projections, cost models, and risk assessments.
Analysis of your current people, process, and technology against what each initiative requires.
18-month execution plan sequenced by value, dependencies, and capability readiness. Quick wins first.
AI governance framework covering ethics, risk, accountability, and decision rights. Board and operational level.
Board-ready artefact that creates alignment, unlocks budget, and serves as the reference for execution.
Structured around decision-making, not deliverable production. Every phase ends with alignment, not just output.
Stakeholder interviews, competitive landscape. Understand where AI creates asymmetric advantage in your specific context.
Use case scoring, capability assessment. Build the portfolio view and size each opportunity.
Governance framework, phased roadmap. Translate insight into a fundable, executable plan.
Board-ready presentation. Stress-test priorities and build organisational commitment.
Needs to set AI direction for the organisation with confidence it will deliver returns.
Accountable for technology investment and needs a strategy that bridges business ambition with technical reality.
Building the mandate and budget for a multi-year data & AI programme.
Integrating AI into the corporate strategy with rigour, not buzzwords.
30 minutes. No pitch deck. No obligation.