Documented sources
A defined part of a concept tailored to the use case.
Individually configured
AI Knowledge Management
How does AI support knowledge management?
AI cannot automatically organise or validate knowledge. It can make approved, maintained sources easier to access, group recurring questions and reveal gaps in documentation. Responsibility for content and currency remains with the organisation.
Building blocks
What is addressed in the concept.
Responsibilities
A defined part of a concept tailored to the use case.
Continuous improvement
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.