What does an AI strategy engagement include?
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Five phases: a maturity and readiness assessment, a value opportunity assessment across your functions, prioritisation with business cases, a 12–24 month roadmap with governance and an operating model, and mobilisation of the first wave. Each phase ends with a deliverable leadership can act on.
How is this different from a large consultancy's AI strategy?
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The structure is similar: maturity, value, portfolio, roadmap, governance. The difference is that ATI Lab also designs, builds and runs AI systems, so feasibility and cost estimates come from shipped work, and the first initiatives can move straight into delivery instead of stalling after the final presentation.
Does the strategy cover governance, risk and compliance?
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Yes. The roadmap includes an AI governance framework: policies, approval and review points, data handling, model risk and the regulatory obligations that apply to your sector and markets, sized to your organisation rather than copied from a template.
How long does it take?
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It depends on the size of the organisation and how many functions are in scope. A focused assessment for one business unit is much shorter than an enterprise-wide strategy. We fix scope, timeline and fee after the first conversation.
Who needs to be involved on our side?
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An executive sponsor, the leaders of the functions in scope, and the owners of your key systems and data. We keep the time asks short and structured: interviews, a short survey and a few working sessions.
Do we have to build with you afterwards?
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No. The roadmap and specs stand on their own and are written so any competent team can deliver them. Many clients continue with us because the team that scoped the work is the fastest path to production, but that is a choice, not a requirement.