Your team has approved an AI agent pilot. The workflow looks promising, and the demo answers simple questions. Then someone asks which remote-work policy applies to contractors in Quebec. The agent retrieves three conflicting documents, exposes a manager-only note, and confidently combines outdated rules.<\/p>\n
That is not mainly a model problem. It is a knowledge readiness problem.<\/p>\n
A knowledge base readiness audit<\/strong> determines whether your content, permissions, retrieval process, and operating controls can support a reliable AI system. It gives you evidence to pause, remediate, pilot, or scale. More importantly, it prevents a polished demonstration from becoming an unreliable production workflow.<\/p>\n