How an assistant on your own data answers routine questions in seconds — with source references and clear boundaries.
A company's knowledge rarely sits in one place. It is scattered across manuals, emails, SharePoint folders, and in the heads of individual people. Every routine question therefore costs time, both yours and other people's. An internal knowledge assistant answers questions like these in seconds, based on your own documents and with a source reference.
"What's the process for handling complaints again?" "Which version of the contract applies?" Questions like these keep landing with the same experienced people and pull them away from their work. New employees need weeks before they know where to find what. This is not a lack of knowledge, it is a findability problem.
The assistant searches the documents you have released and answers questions in plain language. Unlike a general AI tool, it does not invent answers from the internet. Instead, it relies on your content and names the source the answer comes from. That way every piece of information can be verified.
A knowledge assistant answers only on the basis of your own documents and shows the source. What it cannot back up, it does not give as an answer.
A serious knowledge assistant knows its limits. If it cannot find a reliable source, it says so instead of guessing. You decide which documents it may see and which it may not, and you can change that at any time. Control over what counts as valid knowledge stays with you.
Because this is about internal documents, the data question is central. The assistant can be set up so that your data stays in Germany and is not used to train third-party models. For sensitive areas and the public sector, this is the basic precondition.
Especially where many similar questions land on a few people: support, administration, quality management, onboarding. How we set up AI agents of this kind is shown in our Services and Use cases. Whether it pays off for you is something we clarify in a free initial analysis.
Not when it is set up correctly. It answers based on your documents and names the source. If it cannot find a reliable basis, it says so instead of guessing.
Yes. The assistant can be operated so that the data stays in Germany and is not used to train third-party models. You control which documents are included.
A first, clearly scoped area of use can usually be put into productive operation within a few weeks. The scope then grows step by step as your trust in the system grows.
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