Shelf Blog: Knowledge Management

Knowledge management strategy used to be a plan for organizing documents. Now it’s a plan for whether your AI will work at all. The very same elements of the strategy that make knowledge accessible to employees (governance, consolidation, quality) are exactly what AI agents need to provide...

Knowledge management best practices used to be about helping employees find the right document. But times are changing, and now the stakes are much higher: will your AI provide the correct answer or a definitively wrong one? The very same practices that make knowledge useful to people (governance,...

Virtually every organization has a data governance policy. But far fewer companies actually manage that data by the time an AI agent retrieves it. This gap seems insignificant until you run into “broken” AI projects. The model is fine, the pipeline works, but the data feeding it is unmanaged,...

An AI knowledge base does more than just store articles. It’s a system that understands what’s written in those articles. Whereas agents used to have to enter keyword searches, an AI-powered knowledge base now finds the right content on its own, answers questions in natural language, and provides...

Not every knowledge management system serves the same purpose. And that makes perfect sense, since some are designed to store documents, while others are designed to help customers find answers on their own. Lumping them all under the single term “knowledge management system” obscures the...

Imagine a customer call that starts with a simple question about a return. What does your agent do? Most likely, they spend several minutes scrolling through tabs in search of the right document. But what’s happening to the customer in the meantime? They hear a pause, perhaps some pleasant music...