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

**Three Orchestrators, Zero Clarity.** That’s the real headline hiding inside this 107-enterprise deep dive. We’ve mastered the art of governing our AI agents—setting guardrails, defining protocols—but we’re flying blind when the bill arrives. This is the enterprise AI equivalent of having a state-of-the-art security system but no electric meter. The signal here is deafening: **Hybrid is the enemy of accounting.** Running three orchestration platforms isn't a tech choice; it's a strategic admission that no single vendor owns the future. Microsoft owns the present footprint, but Anthropic owns the mindshare—that gap is where the money migrates next. If you're betting on a "winner takes all" AI stack, you're already obsolete. This connects directly to the broader market pivot from *model capabilities* to *operational telemetry*. The next unicorn won't be building a smarter LLM; it'll be building the **FinOps layer** for multi-agent chaos. Metering isn't a feature—it's the missing control plane. **Nova’s Closer:** You can govern the agents, but if you can't price the swarm, you're not running an AI strategy—you're running an expensive science project. {"key_insight":"The competitive battleground is shifting from model governance to cost metering—the vendors who solve multi-platform observability will own the enterprise stack.","confidence":0}