7 Key Battlegrounds in the Enterprise AI Agent Control Plane Race

The enterprise AI landscape has long been defined by a battle of models: GPT versus Claude versus Gemini. But new data from VB Pulse reveals that the real contest is shifting. The fight is no longer about which large language model answers a prompt slightly better—it's about who controls the agent control plane: the infrastructure where AI agents plan, call tools, access data, run workflows, and prove their actions to security teams. Microsoft and OpenAI currently dominate, but Anthropic has quietly entered the fray. Here are seven things you need to know about this pivotal shift.

1. The Shift from Model Wars to Control Plane

For two years, the narrative was simple: pick the best model. But enterprises are realizing that raw model performance matters less than the orchestration layer around it. The agent control plane determines how agents interact with enterprise data, execute multi-step tasks, and maintain audit trails. This convergence means vendors must now compete on infrastructure, not just intelligence. As Tom Findling, CEO of Conifers, notes, the competitive advantage is moving toward platforms that can orchestrate agents and provide governance. The model war is giving way to a control plane war.

2. Microsoft's Early Lead in Orchestration

According to VB Pulse's Enterprise Agentic Orchestration tracker, Microsoft Copilot Studio and Azure AI Studio command a primary-platform adoption rate of 38.6% as of February, up from 35.7% in January. This isn't surprising—Microsoft's deep integration with Office 365, Azure, and enterprise security tools gives it a natural distribution advantage. Enterprises looking to deploy AI agents within existing workflows often start with Microsoft. The company's control plane is built on years of enterprise trust, making it the default choice for many organizations seeking a safe, scalable orchestration layer.

3. OpenAI's Steady Grip on the API Layer

OpenAI's Assistants and Responses API holds second place with 25.7% adoption, up from 23.2% in January. While OpenAI doesn't have the same enterprise ecosystem as Microsoft, its API-centric approach appeals to developers building custom agent solutions. The company's control plane is leaner but more flexible, allowing organizations to plug agent orchestration into their own stacks. OpenAI's installed base in orchestration is larger than Anthropic's, but it faces pressure from Microsoft's bundling strategy and from rivals offering more native enterprise features like governance and auditability.

4. Anthropic's Surprise Foothold in Native Orchestration

Anthropic's Claude has long been seen as a model competitor, but VB Pulse data shows it achieving 5.7% adoption in native orchestration for the first time—up from 0% in January. This represents four out of 70 enterprise respondents, but it's strategically significant. It marks the moment Claude moved from being merely a model to being the runtime where agents execute workflows. While the number is small, it signals that some enterprises are choosing Anthropic's managed runtime over Microsoft or OpenAI for agent orchestration, likely due to Claude's focus on safety and interpretability.

5. Why Small Percentages Signal Strategic Inflection

A 5.7% share doesn't make Anthropic a juggernaut, but early footholds often precede larger shifts in enterprise technology. The agent control plane market is nascent, and early adopters set the trajectory. In the same way that a small share of cloud workloads once hinted at AWS's dominance, Anthropic's emergence in orchestration could presage a more significant role. The key is that these are not generic consumers—they are qualified technical decision-makers at large enterprises. Their choices influence vendor lock-in and future buying cycles.

6. The Convergence Moment for Enterprise AI

Tom Findling calls this the "convergence moment." Models and agent frameworks have matured enough that enterprises are now focusing on the control plane. This means platforms that can orchestrate agents, leverage enterprise context, and provide governance will win. The convergence is not just technical—it's organizational. Security teams, developers, and business leaders are all demanding a single plane where agents can be managed, monitored, and audited. The vendor that delivers this seamlessly—whether Microsoft, OpenAI, Anthropic, or an open-source hybrid—will dominate the next phase of enterprise AI adoption.

7. Security and Governance Become Competitive Differentiators

In the agent control plane race, security is the new killer feature. Enterprises need to prove to auditors and regulators that agents didn't exceed their permissions or access unauthorized data. Microsoft's control plane benefits from years of security infrastructure; OpenAI offers API-level controls; Anthropic's Claude emphasizes constitutional AI and safety. The VB Pulse data suggests that as enterprises move from experimentation to production, the ability to provide governance and auditability will be a deciding factor. The winner of the control plane battle will likely be the vendor that makes agents both powerful and transparent.

The enterprise AI race is entering a new chapter. While model quality will always matter, the real prize is the control plane where agents live and operate. Microsoft and OpenAI have early leads, but Anthropic's first measurable foothold shows that the field is far from settled. Enterprises must now evaluate orchestration platforms not just on model performance but on security, governance, and integration depth. The next year will determine which vendor defines the infrastructure for enterprise AI agents—and that decision will shape the industry for years to come.