Five-agent S&OP simulation shows why local optimization can destroy enterprise value

A multi-agent S&OP simulation highlights the core risk of agentic planning: faster decisions do not guarantee better enterprise outcomes when each function optimizes against its own objective. The lesson is that AI agents need enterprise-level decision logic, not just functional intelligence.