Data ownership
A defined part of a concept tailored to the use case.
Individually configured
Data Protection for Business AI
Is local business AI more privacy-friendly?
A local or private operating model can shape data flows and technical control differently from a cloud service. It is not a blanket data-protection guarantee. Purpose, data types, access rights, retention, contracts and concrete security measures must be reviewed for the intended use.
Building blocks
What is addressed in the concept.
Roles and permissions
A defined part of a concept tailored to the use case.
Backup, updates and documentation
A defined part of a concept tailored to the use case.
How we approach it
First clarify the value. Then select the technology to fit.
The starting point is a realistic task: which questions should employees clarify faster, which sources are suitable and what role does AI play in the existing process? This is followed by data review, configuration, testing and guided rollout.
View the project processFrequently asked questions
Decision-relevant points before starting.
Suitability always depends on the intended use.
No. The platform is aligned to the agreed use case, suitable data sources, roles and operating model. The exact scope is defined before implementation.
The AI supports search, summarisation and drafts. Responsible people review results and make decisions.
That depends on the goal, data situation, permissions and infrastructure. A limited, well-prepared initial scope is usually the most useful first step.