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Making Sense of Sovereign AI: Questions to Ask Before You InvestThe questions leaders should ask about control, dependency, and exit before they invest.
Sovereign AI
A Path through the Power pillar (Terms) and the Governance corpus.
Sovereign AI arrives as a procurement clause long before it arrives as an architecture. This Path takes it in the order a leader can actually act on: what the term is doing in your contracts, then four questions with answers a supplier can be held to, then what it takes to turn those answers into a service somebody operates — and finally four European routes, costed and compared, for the same assistant. Everything here follows our evidence standard.
The seven briefings
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Sovereign AI, Question 1: Where Is Your Data Located — and Where Is It Processed?Where is your data located — and where is it processed?
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Sovereign AI, Question 2: How Is Your Data at Rest Protected — and Who Controls the Keys?How is your data at rest protected, and who controls the keys?
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Sovereign AI, Question 3: How Is Your Data in Transit Handled?How is your data in transit handled?
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Sovereign AI, Question 4: Who Can Be Forced to Access Your Data, Models, and Systems?Who can be forced to access your data, models, and systems?
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From sovereignty strategy to a real AI setupA practical guide to turning an AI sovereignty decision into a controlled service: local architecture, procurement packages, operating roles and a 30-day plan.
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From a German local pilot to a European or UK route: four ways to operate a sovereign research assistantFour European operating routes for the same sovereign research assistant, compared on control, cost and who runs it.
Where this Path ends
Four European routes for the same assistant, compared on what you control, what it costs and who operates it — enough to choose one and defend the choice. The wider governance corpus sits in Governance.