AI

How Agents Can Go Wrong As organizations embrace the democratization of AI, they often overlook the messy realities lurking just beyond the pilot projects and training sessions. Giving end users the tools to build and deploy their own AI agents sounds empowering—and in many ways it is—but without careful design, clear governance, and shared intent, it also invites a wave of … [Read more...] about How Agents Can Go Wrong: 12 Ways AI-Agents Can and Will Wreak Havoc without Good Governance

A Practical AI Knowledge Governance Framework Before knowledge management can meaningfully shape the AI conversation, we need to return to the fundamentals. We throw around the term “knowledge” too easily. For decades, KM practitioners have fought to define and refine it, segment it, and model it. Generative AI doesn’t negate that work. It demands it. AI systems ingest, … [Read more...] about A Practical AI Knowledge Governance Framework: Mapping AI Approaches to Knowledge Types

The AI Tax: 6 Core Ways Artificial Intelligence Creates More Work AI was supposed to help. In many ways, it does. But in just as many ways—and often more—it generates new layers of complexity. The visual “How AI Creates New Work and Wastes Time” captures six operational stress points that consistently appear in AI rollouts. They aren’t theoretical. They reflect the real work … [Read more...] about The AI Tax: 6 Core Ways Artificial Intelligence Creates More Work