Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost

Enterprise AI organizations are adopting multi-platform agent orchestration strategies (averaging 3.1 platforms per organization) driven by flexibility and governance needs rather than single-vendor lock-in, with Microsoft and Anthropic leading adoption. However, a critical gap exists in cost control and monitoring: 21% of enterprises lack real-time visibility into agent spending and cannot prevent runaway execution loops, while most organizations admit that the majority of their deployed 'agents' are merely advanced chatbots without true orchestration. This creates significant financial risk and suggests IT organizations need to prioritize spend monitoring, security governance, and proper agent architecture before scaling agentic AI deployments.