Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
A recent survey of 101 enterprises shows that most are standardizing on model-provider platforms, such as Anthropic's Claude, but are struggling to deploy true multi-step orchestrated workflows, with 71% saying a quarter or fewer of their agents are genuinely orchestrated.
What happened
Enterprises are consolidating onto major model-provider platforms, with Anthropic's Claude leading at 40%. They prioritize reliable multi-step execution, but most of their deployed agents are still single-prompt chatbot wrappers. The orchestration layer is being built ahead of the deployed reality, with 71% of enterprises admitting they have a long way to go in terms of true orchestration.
Why it matters
As enterprises invest in AI and automation, they need to be able to deploy complex, multi-step workflows to realize their goals. However, the survey suggests that many are struggling to get beyond simple chatbot wrappers, which may be holding them back from achieving their full potential. This has significant implications for their ability to innovate and remain competitive.
The takeaway
Enterprises need to prioritize building out their orchestration capabilities, including workflow tooling and permissions, to support the deployment of true multi-step workflows. This will require a focus on engineering and control architecture, as well as a willingness to invest in the necessary tools and infrastructure.
Our plain-English take, written from public reporting for operational business owners. Always read the original for full context.
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