Microsoft is moving to support Google's Agent2Agent protocol, a step that could make AI agents built in different environments more useful together. The company said support for A2A will come to Azure AI Foundry and Copilot Studio, two of its AI development platforms.
The decision matters because agentic software is increasingly being framed around cooperation. Instead of one assistant doing everything inside one product, the larger idea is that multiple AI agents can exchange goals, request actions and complete work across apps, clouds and services.
What Microsoft Is Adding
Microsoft announced on Wednesday that it would bring support for Google's Agent2Agent, or A2A, spec to Azure AI Foundry and Copilot Studio. It has also joined the A2A working group on GitHub, where it plans to contribute to the protocol and related tooling.
A2A was unveiled by Google in early April. The protocol is designed for AI-powered semi-autonomous programs, known as agents, to communicate and coordinate with one another. In practical terms, that means agents can share goals and invoke actions rather than remain isolated inside a single app or cloud.
For developers, the appeal is interoperability. A2A offers components meant to help agent collaboration happen securely, while giving teams a shared structure for connecting systems that may otherwise be built with different tools or hosted in different places.
Why A2A Matters for AI Agents
AI agents are often discussed as productivity tools, but their usefulness depends heavily on what they can reach. An agent that can only act inside one application may be helpful in a narrow workflow. An agent that can coordinate with other agents may be able to handle more complex work that crosses systems.
That is the core promise behind A2A. It is meant to let agents work together across different clouds, apps and services. The source example is simple: a Microsoft agent could schedule a meeting while a Google agent drafts the email invites.
That kind of split task shows why shared protocols are becoming important. Enterprise workflows rarely live in one place. They often involve internal tools, partner tools and production infrastructure, which makes common ways for agents to communicate more valuable.
What Changes for Azure AI Foundry and Copilot Studio
Once A2A support arrives, agents built with Azure AI Foundry and Copilot Studio will be able to use external agents for tasks. Those outside agents may be created with other tools or hosted outside Microsoft.
That opens the door to multi-agent workflows that are not limited to one vendor's stack. According to Microsoft's explanation in its blog post, customers can build workflows spanning internal agents, partner tools and production infrastructure while maintaining governance and service-level agreements.
The governance point is important for enterprise adoption. It suggests Microsoft is not positioning agent collaboration as a loose handoff between tools, but as something that must still fit within business controls and expected operating standards.
- Azure AI Foundry is one of the platforms set to receive A2A support.
- Copilot Studio is also expected to support the spec.
- External agents could be called on for tasks, even when they are built or hosted outside Microsoft.
- Shared protocols are becoming part of how companies think about agent interoperability.
The Bigger Standards Push
Microsoft's support for A2A follows another standards-related move. The company previously introduced support for MCP, Anthropic's standard for connecting AI to the systems where data resides, in Copilot Studio.
Other major AI model providers, including Google and OpenAI, announced that they would adopt MCP earlier this year. With A2A, Microsoft is now also aligning with a protocol introduced by Google for agent-to-agent communication.
Taken together, these moves point to a broader shift in AI development. The market is not only focused on individual models or standalone assistants. It is also paying attention to how AI systems connect, coordinate and operate inside real workflows.
Enterprise Interest Is Growing
The technology is still far from perfect, according to the source article. Even so, investment and experimentation are rising as enterprises look for ways to use AI agents to boost productivity.
A recent KPMG survey found that 65% of companies are experimenting with AI agents. Markets and Markets projects that the AI agent segment will grow from $7.84 billion in 2025 to $52.62 billion by 2030.
Those figures explain why support from a company like Microsoft is meaningful. If businesses are going to build complex agent systems, they will need ways for those systems to talk across platforms without every connection being custom-built from scratch.
A2A support in Azure AI Foundry and Copilot Studio does not solve every challenge facing agentic technology. But it does show Microsoft backing the idea that the next phase of AI agents will be less about staying inside one product and more about working across the software environments companies already use.