A recent study involving 101 enterprises reveals that while agent orchestration is rapidly consolidating around leading model-provider platforms—with Anthropic’s Claude taking a significant lead—most deployed agents remain simple chatbot wrappers rather than fully orchestrated multi-step workflows. Enterprises prioritize platforms based on the quality of underlying AI models (“model gravity”) and value reliable, multi-step task execution. Yet, 71% report that only a quarter or fewer of their agents are truly orchestrated, highlighting a gap between ambition and actual deployment.
Looking ahead, enterprises expect a hybrid control plane combining provider-native and external orchestration to avoid vendor lock-in, which is their primary concern. Investments focus on agent workflow tooling and security, though real-time fiscal control over token usage remains limited, with over a quarter lacking mechanisms to prevent cost overruns promptly.
The survey shows that enterprises are moving from experimentation to operational consolidation by standardizing platforms, increasing production deployments, and building in-house controls. Nearly 70% plan to switch or add orchestration platforms within the next year, with many still undecided on their options. This industry is at a crucial crossroads: the orchestration infrastructure is maturing swiftly, but the agents themselves have yet to fully realize their potential beyond chatbot interfaces.
