Agentic orchestration reveals enterprises prefer Anthropic's Claude for AI deployment

On June 2026, a study of 101 enterprises highlighted that agent orchestration is increasingly relying on model-provider platforms, with Anthropic’s Claude leading the way. The survey, part of VentureBeat Pulse Research, examined how organizations choose platforms, what they optimize for, and the extent of their agent orchestration capabilities.

Understanding Agent Orchestration in Enterprises

Agent orchestration refers to the management of AI agents that execute tasks across various platforms. The research found that while enterprises are consolidating on major model platforms, the reality is that most deployed agents still function primarily as chatbot wrappers. Only 10% of organizations reported that their agents achieve true multi-step orchestration, indicating a significant gap between ambition and actual implementation.

As enterprises race to adopt AI technologies, the orchestration layer is evolving faster than the orchestrated portfolios. The study revealed that 71% of respondents admitted that only a quarter or fewer of their deployed agents are capable of executing complex workflows. This highlights the need for more robust orchestration solutions that can better manage and utilize AI capabilities.

The Dominance of Model-Provider Platforms

The preference for specific platforms is largely influenced by what the study calls “model gravity.” Anthropic’s Claude is the primary choice for 40% of enterprises, followed by Microsoft at 18% and OpenAI at 13%. This concentration demonstrates that enterprises are gravitating towards platforms that align closely with their desired AI capabilities.

Respondents rated their platforms with an overall score of 3.94 out of 5, indicating a general satisfaction with performance, though many are still seeking better options. The study also noted that enterprises are increasingly wary of vendor lock-in, with 35% citing it as their primary concern.

Investment Trends in AI Orchestration

Investment in AI orchestration is focused on improving agent workflow tooling, which accounts for 34% of spending. Following this, 25% of investment goes towards security and permissions enforcement. However, a significant 27% of enterprises lack real-time fiscal control to manage runaway agents, indicating a crucial area for improvement.

As organizations continue to build their AI capabilities, the research suggests that by the end of 2026, a majority of enterprises expect to implement a hybrid control plane that combines provider-native solutions with external orchestration. This strategy aims to mitigate risks associated with vendor lock-in while enhancing overall operational efficiency.