What it means
A knowledge base is an organised collection of information, such as articles, policies, FAQs and procedures, that people or systems can search and use. In AI projects, it is often the source of truth that an assistant draws its answers from.
Real-world example
A university's IT service desk maintains 600 help articles. Before launching an AI assistant, the team discovers that 140 articles describe outdated systems and several contradict each other. They review and archive these first, because the assistant would otherwise answer from them with full confidence.
Why it matters for AI adoption
An AI assistant can only be as reliable as the knowledge base behind it. Outdated, duplicated or contradictory content leads directly to wrong answers. Ownership, review cycles and clear status (current, archived, draft) become more important, not less, when AI is introduced.
Questions to ask
- Who owns the content in our knowledge base, and how often is it reviewed?
- How will the AI system know which documents are current and authoritative?