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.
Summary · read without signing up
The summary covers the whole whitepaper in 3 pages. Page through it right here. If you then want the details, unlock the full version with 8 pages. Summary and full version are available in German.
Who it is for
Managing directors, owners and heads of IT or engineering in companies with 5 to 200 employees who want to introduce AI without giving up data ownership.
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
You can assess which cloud AI risks carry liability, how a sovereign architecture is built and what effort it realistically takes to go live.
Would you rather talk it through than read?
In the free process audit we go through your own workflow and tell you which steps pay off first. 45 minutes, no obligation.