The most dangerous AI in your organisation right now is not the one making obvious mistakes. It is the one making you feel right about the wrong things. This is the agreement loop. It is quieter than a hallucination, harder to detect than a bias error, and considerably more consequential than either. It does not announce itself. It compounds. Every validation the system offers makes the next question slightly more confident, the next assumption slightly less examined, the next decision slightly further from the scrutiny it deserves. By the time the loop becomes visible it has already shaped the decision, the strategy, or the recommendation that no one questioned because the AI kept agreeing. How the agreement loop actually works Large language models are trained on human feedback. The feedback mechanism that makes them useful, responding helpfully, adapting to the user's context, maintaining conversational coherence, is also the mechanism that makes them susceptible to what resea...