What is A2A? A standard for communication and collaboration between AI agents

Agent2Agent (A2A) is a protocol for collaboration between independent AI agents. It helps agents describe capabilities, delegate work and exchange results across clear boundaries.

Author
Aivan Editorial Team
Published
14 August 2026
Reading time
7 minutes
Sections in this guide
  1. What is A2A?
  2. Why should agents communicate?
  3. How does A2A work?
  4. A2A versus MCP
  5. Multi-agent architecture
  6. Security and interoperability
  7. A2A in the enterprise
  8. A2A at Aivan
  9. Frequently asked questions
  10. Sources and further reading

What is A2A?

A2A, or Agent-to-Agent, is an open protocol for agent communication. A requesting agent can delegate work to a specialist agent without needing that agent's internal logic or private data.

It is useful where multiple agents with distinct roles, owners or systems need to collaborate.

Why should agents communicate?

A general agent should not hold every organization's domain knowledge, tool and responsibility. Specialist agents can remain close to their own data and process and return only the needed outcome.

This can clarify ownership and trust boundaries when the problem genuinely needs multiple specialties.

How does A2A work?

A typical flow includes discovery, capability description, task exchange, clarification and result exchange.

A2A does not automatically make agents trustworthy; each request still needs identity, policy and trust-boundary controls.

  • Capability discovery
  • Task exchange
  • Progress and result exchange
  • Clear data and action boundaries

A2A versus MCP

MCP is mainly used to connect an application or agent to external tools and data. A2A is designed for agent-to-agent collaboration.

An agent can use MCP for its own tools and A2A to delegate a task to another specialist agent.

Multi-agent architecture

Sales, finance and support agents can work under an orchestrator or use a peer pattern.

Responsibilities should remain bounded and testable; more agents without clear ownership increase complexity.

Security and interoperability

Automatic trust between agents is unsafe. Agent identity, authorization, data-sharing scope, result validation and audit need explicit design.

Interoperability is not unconditional access; shared protocols must work with organizational controls and trust boundaries.

  • Agent identity and authentication
  • Task and data authorization
  • Trust boundaries and minimum disclosure
  • Auditability

A2A in the enterprise

Suitable examples include delegating sales analysis to a specialist agent, policy review to a legal agent, or coordination between IT and HR agents.

Each scenario needs measurable output, failure handling and an appropriate approval stage.

A2A at Aivan

At Aivan, multi-agent architecture starts with a real organizational need: ownership, data and tool scope, and which actions require approval. A2A is one collaboration pattern for that design.

Frequently asked questions

What is A2A?

A protocol for collaboration and delegation between independent agents.

How is A2A different from MCP?

MCP connects an application or agent to tools and data; A2A connects agents.

Does A2A guarantee trust?

No. Identity, authorization, data boundaries and audit remain separate controls.

Do all systems need multiple agents?

No. A single agent or simple workflow is often better for a bounded task.

Sources and further reading

Build agent collaboration with clear boundaries

Aivan can support an initial design for roles, connections and controls in your multi-agent architecture.