Summary · free to readWhitepaper 01 · Sovereign AI infrastructure
From chatbot to process infrastructure.
How German mid-sized companies run artificial intelligence on their own servers with legal certainty, without data leaks, vendor lock-in or unpredictable cloud risks.
What is inside
- The three cost traps of conventional cloud AI: know-how leaking out under the US CLOUD Act, unpredictable model errors, token costs and dependency
- The five-layer model of sovereign enterprise AI, from the user interface down to your own server
- Cloud AI and your own infrastructure side by side: six criteria, compared neutrally
- Measurable results from live operation, with a case study from contract manufacturing
- What doing nothing costs: a sample calculation to redo with your own numbers
- The roadmap in five steps, from process audit to go-live
- EU AI Act and GDPR: how the new obligations depend on your choice of infrastructure
