Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
TL;DR
Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged on reliable multi-step execution. But the ambition runs well ahead of the reality: most deployed “agents” are still chatbot wrappers, the control plane enterprises expect is deliberately hybrid to avoid lock-in, and real-time fiscal control over token burn remains the exception.
Nauti's Take
For small teams, the first check is simple: does your so-called agent actually run multi-step flows with state handoffs, tools, and clear stop conditions, or is it just a chat wrapper? If token spend, fallbacks, and permissions are not measurable per workflow, you are mostly scaling uncertainty.
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