KM Insider

Knowledge management has always had its own vocabulary. But 2026 is producing a new set of terms that signal something more significant than jargon: a genuine shift in how organizations understand what knowledge is, what threatens it, and what it takes to govern it in an AI-driven environment. Three terms in particular are worth understanding … Read more

Organizations have spent decades building systems to capture what they have learned from experience. The documents exist. The databases exist. In most cases, the next project team never looks at them. The gap nobody wants to name Every major project methodology in existence, including PRINCE2, PMI’s PMBOK, ITIL, and agile retrospectives, includes a formal requirement … Read more

Enterprise AI search has gotten fast. Ask a modern AI assistant a question and it will return an answer in seconds, synthesized, confident, and formatted like it came from someone who knew exactly what they were talking about. The retrieval problem, in the narrow sense of pulling matching content quickly, is largely solved. And yet … Read more

A community of practice rarely fails with an announcement. There’s no closing memo, no final meeting where someone says it’s over. It just goes quiet. The discussion thread that used to get a reply within hours starts sitting for a week. The monthly call becomes bimonthly, then stops appearing on the calendar at all. Nobody … Read more

Every organization has one: the person everyone routes questions to. The one who knows why the system was built that way, which client relationship is fragile, what actually happens when the standard process breaks. They’re usually praised for it. They’re also, often without meaning to, the reason knowledge doesn’t move. The instinct is to call … Read more