AI Knowledge Assistant for Your Team

AI knowledge assistants at a glance

Technically, what sits behind this is a large language model, or LLM, the same kind of technology behind the well-known AI chats. The decisive difference: a public LLM does not know your company. It does not know what warranty period your contracts specify, how your approval process runs, or what a customer ordered two years ago. Ask it anyway and you get an answer that sounds plausible and is wrong.

We solve that by having the assistant look things up in your documents before every answer. It finds the relevant passages, forms an answer from them and names the document it came from. Specialists call this retrieval-augmented generation, or RAG — in practice it simply means looking things up instead of guessing. The side effect matters: because every answer has a source, it can be checked rather than merely trusted.

Permissions stay intact. The assistant shows each employee only what they would otherwise be allowed to see, the AI does not become a back door to personnel files or costings. We also define what the assistant answers about at all, and where it declines.

For operation you have a choice. Usually we host the language model in the EU, for instance via Azure OpenAI or Mistral. Where data must not leave the building at all, we run your own LLM directly on your network, typically Llama-based. Both can be implemented in a GDPR-compliant way; which route fits is decided by your requirements, not by our preference. Where the standard is not enough, we build the LLM solution to fit, from tuning it to your domain vocabulary through to connecting it to your systems.

Such an assistant pays off most where the same question keeps coming up: onboarding new colleagues, first-level support, preparing quotations when somebody needs to know how a comparable case was costed last time. It does not replace an experienced employee. It means their knowledge no longer has to be fetched from them in person every time.

AI knowledge assistants: what we deliver