A new open protocol is changing the way AI agents communicate and collaborate, making complex business workflows more feasible for enterprises.

The agent-to-agent (A2A) protocol, developed by Google and introduced as an open-source specification in April 2025, enables diverse AI agents to seamlessly communicate, coordinate, and delegate work. Unlike existing standards, A2A fills the gap between how agents perform tasks and how they collaborate on them.

According to Matt Hasan, CEO of aiRESULTS, A2A is a game-changer. “It moves the AI conversation from ‘Can a single agent do this task?’ to ‘How can a team of specialized agents collaborate on a complex business workflow?'” he says.

The Problem with Monolithic Agents

Today’s AI agents are often built as isolated systems, each with its own framework, API conventions, and assumptions. This makes it difficult for them to interoperate, leading to brittle integrations that hinder collaboration.

A2A addresses this issue by defining a shared language and handshake process, allowing agents to communicate securely and opaque interoperability. The protocol governs agent-to-agent communication using structured task objects and agent cards to ensure seamless collaboration.

How A2A Works

A2A defines how agents talk to each other and share standardized information about their capabilities. “The technology’s most critical aspect is the task object, which formalizes the delegation of work,” says Hasan.

When an agent is adapted to use A2A, its specialized capability is wrapped in an agent card – a public metadata file that describes what it can do. This allows client agents to discover, send structured task requests, and securely monitor the status of that work from a remote agent.

The Significance of A2A

A2A enables agents from different vendors and developers to work together on multi-step workflows without custom middleware. By creating a shared foundation for discovery, messaging, and task delegation, A2A facilitates the assembly of specialized agents that understand each other out of the box – and can communicate with external agents as well.

Hasan concludes, “In theory, A2A is a universal standard of communication and etiquette for AI agents. In practice, it’s the architectural blueprint that finally makes complex, vendor-agnostic multi-agent systems feasible for the enterprise.”

Inspired by

• https://www.infoworld.com/article/4088217/what-is-a2a-how-the-agent-to-agent-protocol-enables-autonomous-collaboration.html

Sources

• wikipedia.org
• microsoft.com
• google.com
• google.com