The opposite, in fact. Now is exactly the right moment. Most organisations I work with are right at the beginning: no AI strategy, no clear roadmap, plenty of questions, and a healthy dose of skepticism. That’s precisely my audience. The AI Readiness Check was designed to clarify exactly this starting situation – structured, in two hours, no prior knowledge required. Starting too early isn’t a problem; waiting too long while betting on the wrong tools is.

Because you talk directly to the person who does the work. No tiering through junior consultants, no commissions on recommended tools, no overhead of an agency structure. I bring more than 15 years of experience in digitalisation, marketing automation, and enterprise software – and combine that today with concrete AI know-how. My clients are SMEs, associations, and public institutions: organisations where efficiency, trust, and clear communication count for more than an impressive agency deck. When a project needs more resources than I can handle on my own, I draw on an experienced network of specialists – without unnecessarily driving up your costs.

Data sovereignty isn’t an add-on for Netzkundig AI solutions; it’s a foundational principle. In practice, that means: in every project I review which data gets processed where – and recommend solutions that match those requirements specifically. That includes open-source models you can run yourself (e.g. Llama, Mistral), as well as European-hosted private AI infrastructure via an established partner network. US cloud services come into play only where data sensitivity and compliance explicitly allow it – and always as a deliberate decision, never as the default.

The most sensible entry point is the AI Status – a structured short assessment that delivers a clear picture of your AI maturity in a half-day session (remote or on-site), including a written report. After that, you decide whether and how to continue – with no follow-up obligation. If you’d rather tackle a specific use case right away, the Use Case Workshop is the alternative starting point. For concrete pricing on your project, the best next step is a no-obligation initial call.

Fair question, since the term has been used to the point of meaninglessness. At Netzkundig AI it means specifically: I receive no commissions or partner payments from technology providers. I’m not bound to any reseller contract that would influence my recommendations. The recommendation you get from me is based solely on your use case, your data situation, and your resources – not on my next quarterly target. If an established US service is the best fit for your case, I’ll say so. If an open-source alternative or European infrastructure is a better match, I’ll say so just as plainly. For me, vendor-neutrality isn’t a marketing promise; it’s the precondition for trustworthy advice.