Every organisation now has AI ambition; far fewer have an AI decision. A strategy engagement exists to convert one into the other: which use cases get funded, on which build route, grounded in which data, governed by whom, and measured against what. If a strategy cannot answer those questions, it is a mood board.
The heart of the work is use-case identification. We sweep the business for candidate ideas, then score each one on value, feasibility, data readiness and risk. The scoring is deliberately unsentimental: the charismatic idea that arrives with an executive sponsor gets the same treatment as the unglamorous back-office process, and the back-office process usually wins the first slot.
Routes matter as much as use cases. For every funded candidate we recommend a build route: Microsoft 365 Copilot with proper adoption, a Copilot Studio agent, an Azure AI Foundry build on Azure OpenAI, or a pro-code multi-agent system where the complexity justifies it. Our practice builds on all four, including agentic systems on Claude as a registered Anthropic partner, so the recommendation is never shaped by what we happen to sell.
The output is an executive-ready roadmap with the first quarter funded and mobilised: two or three use cases in delivery, governance stood up, and a benefits framework that will tell you honestly whether it worked. Strategy and delivery come from the same team here, which keeps the recommendations grounded in what production actually demands.