Sovereign AI Blueprint
AI in Europe, not on a Nevada server. Yours, not rented.
Investment scaled to complexity · Custom mini-proposal in 48 hours · 4 weeks · For organizations with sovereignty constraints
When your data can't leave Europe
Healthcare, finance, public administration, defense, cultural sector with sensitive archives: there are organizations for whom moving data to a Nevada server isn't a technical choice — it's a violation. Yet almost all of them have AI running somewhere, and almost none have mapped where that data ends up in the inference cycle.
The problem tripled in 2026. The US Cloud Act and its extensions; the EU AI Act mandating traceability; board pressure to avoid being held hostage by a non-EU supplier. Three vectors converging on a single question: how do I do AI in Europe, in a way that stays in Europe, without losing capability against US hyperscalers?
The answer isn't a single product. It's an architecture. And it has to be designed before signing the next cloud contract, not after.
Blueprint output
- Complete mapping of your AI data: where it sits today, where it must legally sit, with what jurisdictional constraints (GDPR, AI Act, sectoral norms)
- Three-year TCO comparison across four scenarios: hyperscaler cloud with sovereign setup, EU sovereign cloud, private/on-prem, hybrid
- Independent vendor evaluation: Mistral, Aleph Alpha, open weight models, European inference infrastructure
- Reference architecture for your organization: private inference, sovereign RAG, in-perimeter MLOps
- Migration roadmap if you need to exit current setups, with priorities and operational impact
- Explicit risk register: lock-in, performance gap, hidden costs, geopolitical risks
- Board briefing in presentation format, with clear decision scenarios
The blueprint is documentary, not implementational. It's what lets you make the right decision with all data on the table, before spending millions on an architecture that'll need redoing in two years.
How the four weeks unfold
Week 1 — Discovery & data mapping
Three days on-site with CIO, CISO, DPO, legal, and AI system owners. Precise mapping of data flows, existing cloud contracts, sector-specific regulatory constraints.
Week 2 — Vendor & architectural assessment
Analytical work on European vendors and hybrid setups. Functional tests on 2-3 candidate models with a use case representative of your organization.
Week 3 — TCO & migration design
Three-year financial modeling of the four scenarios. Target architecture definition. Migration path design. Review workshop with CIO + CFO together.
Week 4 — Synthesis & handover
Final document, board presentation, half-day handover with C-level + technical leads together. All elements on the table, intellectually honestly.
This blueprint is for you if
- You operate in a sovereignty-constrained sector: central or regional public administration, healthcare, banking tier 2-3, insurance groups, cultural foundations with sensitive archives, defense, dual-use
- You've already invested in AI but your CISO or DPO is telling you the current setup won't survive a serious audit
- You're about to sign a strategic cloud contract (≥€500k/year) and want an independent second opinion
- Your board has put "AI sovereignty" on the 2026 agenda and someone needs to write the position paper
Who it's not for
- Companies whose data can legitimately reside anywhere — don't waste budget on sovereignty
- Those looking for a sovereign infrastructure provider — I design the blueprint, implementation goes to PiirZ Digital or another integrator
- Those wanting a predetermined choice "Mistral is better" or "OVH is better" — the evaluation is agnostic by design
How the investment works
Discovery call (30 minutes, free): we understand your jurisdictional constraints, AI systems in production, baseline scenario.
Written mini-proposal in 48 hours: scope, calendar, exact investment calibrated to your technical and jurisdictional perimeter.
Scoping call (60 minutes, if the mini-proposal is on track): we define specific systems, models to test, jurisdictions in scope.
SOW + contract: signature and kickoff within 5 working days. Payment in two tranches, 50% at kickoff and 50% at handover.
Cost scales to the number of AI systems in scope, presence of legacy systems to migrate, number of jurisdictions covered. A tier-2 single-country bank and a multi-EU insurance group have radically different scope. That's why investment is defined after discovery, not on the site.
Frequently asked questions
What does "sovereign AI" actually mean in practice?
It's the combination of five cumulative guarantees: execution environment in EU, management by European legal entities, control of the MLOps chain, governance of data and metadata, access to model weights. Without all five, "sovereign" is marketing.
Is Mistral really enterprise-ready?
In 2026, yes, credibly so. It raised €830M in institutional debt early this year, has real enterprise traction, and operates under French jurisdiction with EU regulatory alignment.
Can a blueprint be done without choosing between cloud and on-prem?
No, the blueprint exists exactly to make that choice. What's possible is designing a gradual migration path.
How much does "going sovereign" cost vs. keeping everything on Azure/AWS?
For mid-scale inference (€100-500k/year of AI spend), sovereign setup typically costs 1.3-2x vs hyperscaler in the first 18 months, then converges.
Before signing the next cloud contract, give me a call.
Fill in the pre-qualification form (5 questions, two minutes). In the discovery call we figure out if your case really needs a full blueprint or a lighter assessment. If your setup is already compliant, I'll tell you — and not sell you a service you don't need.
Request a proposal