AI for Knowledge Base Management helps a company maintain and make its own know-how accessible. In practice this comes down to three things. The first is searching across scattered documents, when the answer exists but no one knows where. The second is creating and maintaining content – from existing materials, meeting notes and support answers, a draft article for the knowledge base is produced that only needs checking. The third is uncovering gaps: the questions the system cannot answer are a precise list of what is missing from the documentation. The greatest benefit goes to companies where knowledge depends on a few people and their departure means a real loss. The precondition is order in the sources and a decision on which document is valid when several versions exist.
See also: RAG over a company's own content, Data audit, Employee onboarding.
