The Next Frontier in Enterprise AI: 10 Key Insights on the Agent Control Plane Battle

For the past two years, enterprise artificial intelligence has been framed primarily as a battle of models—OpenAI's GPT against Anthropic's Claude versus Google's Gemini, with contenders emerging from both the U.S. and China. However, fresh data from VentureBeat's VB Pulse survey suggests the competitive landscape is shifting. The real prize may no longer be which model answers a prompt best, but rather who controls the agent control plane—the infrastructure layer where AI agents plan, call tools, access data, run workflows, and provide audit trails. This article unpacks 10 key findings from the latest Enterprise Agentic Orchestration tracker, revealing how Microsoft, OpenAI, and Anthropic are positioning themselves in this emerging arena.

1. Microsoft Takes the Early Lead in Orchestration Adoption

According to the VB Pulse survey, Microsoft Copilot Studio and Azure AI Studio have captured the largest share of enterprise agent orchestration adoption. In February, these platforms achieved a primary-platform adoption rate of 38.6%, up from 35.7% in January. This growth reflects Microsoft's deep integration with existing enterprise ecosystems (Office 365, Azure, and Windows) and its ability to offer a seamless path for organizations already using its cloud services. The foothold is substantial, but it also signals that enterprises are moving beyond mere chatbot trials toward operationalizing AI workflows at scale.

2. OpenAI Climbs to Second Place with Assistants and Responses API

OpenAI's Assistants and Responses API now holds 25.7% of enterprise orchestration adoption, up from 23.2% in January. This increase suggests that developers are leveraging OpenAI's flexible API layer to build custom agentic workflows, rather than relying solely on pre-built consumer tools. The platform's strength lies in its model quality and API ecosystem, but it also faces challenges in enterprise governance and data residency. Despite these hurdles, OpenAI has a large installed base, and its second-place position underscores its resilience as a go-to orchestration layer for many technical teams.

3. Anthropic Makes Its First Measurable Appearance—At 5.7%

Perhaps the most surprising data point is Anthropic's entry into the orchestration tracker. After registering 0% in January, its tool use and workflows capabilities now account for 5.7% of enterprise primary-platform adoption in February. This figure is small, but it is strategically significant because it marks the first time Claude has moved from being a pure model provider to a native orchestration platform. Enterprises are using Claude to plan multi-step tasks, call external APIs, and manage workflows—a clear sign that Anthropic is competing not just on model quality, but on the entire control plane.

4. Enterprises Are Choosing Orchestration Layers, Not Just Chatbots

The VB Pulse data underscores a fundamental shift: enterprises are no longer merely selecting a chatbot for customer service or internal Q&A. Instead, they are deciding where the live operational machinery of AI work will reside. Choices now encompass entire orchestration frameworks—inside Microsoft's stack, OpenAI's API, Anthropic's managed runtime, or open-source alternatives. This decision directly impacts security, governance, and auditability, as agents interact with sensitive data and execute critical business processes. The underlying move is about infrastructure, not just intelligence.

5. The Convergence Moment: Models and Frameworks Mature Together

Tom Findling, CEO of AI cybersecurity startup Conifers, describes this as "the convergence moment for enterprise AI." Models and agent frameworks have matured sufficiently that enterprises are shifting focus from model quality to the control plane around it. In practical terms, this means competitive advantage now goes to platforms that can orchestrate agents, leverage enterprise context, and provide governance across customer environments. This evolution mirrors earlier transitions in enterprise software, where the platform layer (e.g., operating systems, databases) became more strategic than individual applications.

6. Security and Auditability Emerge as Key Differentiators

As agents gain more autonomy—executing code, reading emails, modifying databases—security and auditability become non-negotiable. Enterprises demand that platforms prove agents did not perform unauthorized actions. Microsoft's Azure offers built-in compliance and role-based access control; OpenAI provides usage logs and moderation; Anthropic emphasizes constitutional AI and chain-of-thought transparency. The winning orchestration layer will be the one that gives security teams clear visibility into every decision an agent makes, without sacrificing performance.

7. Microsoft's Distribution Advantage Is Formidable—But Not Unbeatable

Microsoft benefits from an unmatched enterprise distribution network: Office 365, Dynamics 365, Azure, GitHub, and LinkedIn all serve as gateways to push Copilot Studio. This existing customer base gives Microsoft a head start, but it is not insurmountable. Some enterprises worry about vendor lock-in and prefer open frameworks that allow multi-model orchestration. Moreover, Microsoft's platform must still prove it can handle highly specialized agent workflows at the same level as more focused competitors like Anthropic.

8. OpenAI Leverages a Larger Installed Base in Orchestration

OpenAI's orchestration footprint extends beyond its own tools: thousands of startups and enterprises already use the GPT API to build custom agents. This installed base provides a strong foundation for its Assistants and Responses API. However, OpenAI faces the challenge of balancing innovation with enterprise-grade reliability. Recent outages and pricing changes have made some organizations cautious. Still, the company's ability to iterate quickly gives it an edge in a market where new agent capabilities emerge weekly.

9. Anthropic's Small Number Signals a Larger Strategic Ambition

A move from zero to 5.7% may seem minor, but it is a significant strategic signal. Anthropic is not merely aiming to be a model provider; it is building a managed runtime that competes directly with Microsoft and OpenAI in the orchestration layer. The company's focus on safety and alignment resonates with enterprises handling sensitive data, especially in finance, healthcare, and legal. While its market share is still tiny, Anthropic's early traction suggests that there is demand for a third orchestrator that prioritizes trust and transparency.

10. The Future Will Be Hybrid and Multi-Platform

The VB Pulse data points to a future where enterprises run multiple orchestration layers in parallel—using Microsoft for core productivity, OpenAI for specialized tasks, Anthropic for compliance-heavy workflows, and open-source frameworks for internal research. No single platform will dominate entirely; instead, interoperability and governance will become the battleground. The first company to offer a seamless, auditable way to route agents across different orchestration backends will likely define the next phase of enterprise AI.

Conclusion

The agent control plane is becoming the central strategic decision for enterprise AI leaders. Microsoft leads today with distribution and integration, OpenAI follows with ecosystem and flexibility, and Anthropic's first foothold hints at a future where trust and governance matter as much as raw intelligence. As adoption scales, the platforms that balance innovation with security, and openness with control, will win the next frontier. The battle is no longer just about models—it is about who orchestrates the agents that run the world's most critical operations.