A2A
A2A Explained: What Happens When AI Agents Start Working Together?
Zero 3 Studios · AI Strategy & Integration · · 7 min read
Agent-to-Agent (A2A) architecture lets specialised AI agents hand work to each other. Useful for end-to-end processes — and only safe with clear boundaries.
Agent-to-Agent architecture — A2A — is what it sounds like: one AI agent passing work to another that is better suited to the next step. A intake agent classifies a request; a research agent gathers context; a drafting agent prepares the response; a human approves it.
When A2A Is Worth It
A2A earns its complexity when a process genuinely spans specialities or systems, and each step has a clear definition of done. If one well-scoped agent can do the job, use one agent.
The Guardrails That Make It Safe
- Every handoff produces a record a person can read
- Each agent has the narrowest permissions its step requires
- One owner is accountable for the end-to-end outcome
- A defined exception route returns the work to a human
Start Small
Two agents and a human approval step is a real A2A system. Prove the handoff, then extend the chain.
- Agent-to-Agent systems
- A2A architecture
- AI agents
- AI workflow automation
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