We have spent the last two years learning how to ground a single AI agent in enterprise data. That was the easy part. Coordinating a fleet of them turns out to be a different problem entirely.Multi-agent systems ask questions our current platforms weren't built to answer. How do two agents share state without contradicting each other? Whose credentials are used when Agent A calls Agent B? What audits the decision when an agent triggers another based on a probabilistic inference? Most enterprise architectures shrug at all of these. They were built for humans reading dashboards, not autonomous consumers acting on inference.