Agentic orchestration: Model makers are selling their own AI agent platforms, but only 2% of enterprises say the model was the main reason they chose one
For the August VB Pulse, VentureBeat Intelligence surveyed respondents from organizations with 100 or more employees. We asked which agent orchestration platforms they run and why, what they plan to adopt next, where they expect agent control to sit and how they stop runaway agent spending.Read more
This article discusses a survey by VentureBeat Intelligence on the adoption and preferences of AI agent orchestration platforms among enterprises with 100 or more employees.
What happened
VentureBeat Intelligence conducted a survey of enterprises with 100 or more employees to understand their use of AI agent orchestration platforms, including factors influencing their choices, platform usage, and future plans.
Why it matters
Understanding the factors influencing enterprise adoption of AI agent orchestration platforms helps developers and businesses make informed decisions about platform selection and integration.
- Enterprises prioritize flexibility and control over model-specific features when choosing AI agent platforms.
- Multi-platform usage is common, with many enterprises planning to adopt or replace platforms.
- A significant portion of enterprises expect control planes to be outside provider-managed services, indicating a preference for hybrid or custom solutions.
The bigger picture
The findings highlight the importance of flexibility and control in AI agent orchestration, influencing how enterprises manage and scale their AI operations.
The survey reveals that while model providers offer orchestration platforms, enterprises value flexibility, reliability, and control, leading to diverse platform adoption and future plans.
Technical details
- Agent orchestration platform: software that coordinates AI agents, assigning tasks, calling tools, and managing permissions.
- Control plane: the system that directs and governs enterprise agents, determining which agent runs, which tools and data they can access, and what gets logged.
- Multi-agent workflows: workflows where multiple agents collaborate, but they are still a small share of deployed agents at many enterprises.
FAQ
What percentage of enterprises chose their AI agent platform mainly for the AI model behind it?
Only 2% of enterprises chose their AI agent platform mainly for the AI model behind it.
What are the main factors influencing platform choices for AI agent orchestration?
Flexibility across models and tools, production reliability, ease of development, and control over agent execution were the main factors influencing platform choices.
How many enterprises use OpenAI's Agents SDK or Responses API as their primary platform?
45% of respondents use OpenAI's Agents SDK or Responses API, with 69% of those users naming it as their primary platform.
What percentage of enterprises using Anthropic's Claude Platform use another company's platform as their primary?
62% of enterprises using Anthropic's Claude Platform use another company's platform as their primary.
What is the likelihood of multi-platform enterprises planning a new or replacement orchestration platform?
84% of multi-platform enterprises plan a new, additional, or replacement orchestration platform within 12 months.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by VentureBeat AI on Oct 5, 2026.
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