KM Insider

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

An employee hands in their notice. HR schedules the exit interview, IT revokes system access, the manager posts the job opening. Every box on the offboarding checklist gets ticked. And yet, three months later, someone on the team is stuck trying to figure out why a client account was configured a certain way, or which … Read more

Modern enterprises are investing billions of dollars in digital transformation, artificial intelligence, analytics platforms, enterprise search, collaboration technologies, automation systems, and knowledge management initiatives. Across boardrooms and strategy meetings, executives frequently discuss becoming data-driven, AI-enabled, customer-centric, and digitally mature. Yet beneath these conversations lies a more fundamental objective that is rarely discussed directly. Organizations do … Read more