What’s included in a Data/AI diagnostic in Strasbourg?

Use-case prioritization (value/effort/risk), data & stack assessment, governance recommendations, and a pragmatic 12–18 month roadmap.

How long does it take?

Typically 2 to 4 weeks depending on team availability, data maturity and scope.

How is it different from a classic “study”?

We deliver actionable decisions: use-case choices, success criteria, quick wins, and a measurable adoption plan.

Near you

Data/AI Diagnostic in Strasbourg

Data/AI diagnostic in Strasbourg: prioritize 3–10 use cases, build a 12–18 month roadmap, and set governance + adoption KPIs. Arkange.

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Pragmatic

In Strasbourg, we focus on concrete use cases, quick wins, and measurable adoption.

Secure

Governance, data, compliance: we frame risks from day one.

Measurable

Usage KPIs, quality and ROI: AI is managed like a product.

Local context

In Strasbourg (Grand Est), the goal isn’t “to do AI” — it’s to put AI at the service of time: reduce friction, increase reliability, accelerate, and make teams more autonomous.

We often tailor the approach around: secteur public, conformité, process robustes.

What you get (30 days)

2–3 prioritized use cases + success criteria
a prototype / agent (or workshop) delivered + iteration
an adoption plan (KPIs, rituals, ownership)
a security / governance trajectory adapted to your context

FAQ — Data/AI Diagnostic in Strasbourg

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Next step

We clarify your context, top pain points, and the shortest path to measurable outcomes.

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Arkange

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