AI-readiness self-check

Part 1: Data maturity & foundations

1. A01

   Do you know which of your data is structured and current enough to serve as a knowledge base for an AI?

   Yes No Unsure
2. A02

   Are the permissions in your repositories (SharePoint, file server) clean enough that an AI only surfaces what the respective user is allowed to see anyway?

   Yes No Unsure
3. A03

   Do you know which public AI tools your employees already use – and what data is being entered there?

   Yes No Unsure
4. A04

   Is there a concrete use case with measurable value that you would tackle first?

   Yes No Unsure
5. A05

   Is your infrastructure (network, cloud connectivity, your own servers where applicable) prepared for AI workloads?

   Yes No Unsure

Part 2: Governance & data sovereignty

1. B01

   Have you assessed which obligations the EU AI Act triggers for your use of AI (transparency, your role as provider or deployer)?

   Yes No Unsure
2. B02

   Is there a binding policy on which data may be entered into public AI services – and which may not?

   Yes No Unsure
3. B03

   Must certain data stay in-house, or at least in Germany, for data-protection or confidentiality reasons?

   Yes No Unsure
4. B04

   Are your employees trained on the possibilities and limits of AI (AI literacy under Art. 4 AI Act)?

   Yes No Unsure
5. B05

   Is it clear who in the company is responsible for AI use and governance?

   Yes No Unsure

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