Before committing budget to AI, your leadership team needs a clear picture of which use cases are worth pursuing, in what order, and with what governance and readiness in place. We build that picture — independently, rigorously, and in a form boards can act from.
Structured stakeholder workshops across business functions to surface candidate AI use cases. We score each against a consistent four-dimension framework — commercial value, operational feasibility, data readiness, and governance risk — to produce a ranked, defensible portfolio.
A phased investment roadmap sequenced by priority, constrained by readiness, and governed by defined decision milestones. Designed for boards and executive teams to act from — not a slide deck that gets filed.
We assess what the organisation needs to develop or acquire — governance, data, infrastructure, and people — to pursue its priority use cases. Every recommendation includes the governance prerequisites that need to be in place before deployment.
AI strategy consulting helps organisations decide where to invest in AI, in what sequence, and with what governance and readiness requirements in place. It covers use-case discovery and prioritisation, value and risk assessment, capability gap analysis, investment sequencing, and the development of an AI roadmap that boards and executive teams can act from.
A use-case discovery and prioritisation engagement typically takes 4–6 weeks. A full AI strategy — covering use-case portfolio, capability gap analysis, investment roadmap, and executive alignment — typically takes 6–8 weeks depending on the number of business units involved. Every engagement has a fixed scope and a defined deliverable.
No. Our AI strategy work is completely vendor-independent. Use-case scoring, technology recommendations, and platform decisions are made on the basis of your context — not our commercial relationships. We will recommend the right approach even if that means doing less, going slower, or choosing a different platform than a vendor is proposing.