Agent2Agent (A2A)

When Your Partner's AI Talks to Yours: The New Standard for Autonomous Business Collaboration.

50+

Technology partners at initial launch, including Salesforce, SAP & Workday.

100+

Companies in the A2A Project coalition after one year, with AWS, Cisco & Microsoft.

95%

Reduction in coordination time, from hours to minutes, in supply chain pilots.

From APIs to Agent Relationships

A2A is an open standard protocol enabling AI agents to communicate and collaborate across different companies and platforms. Think of it as creating a secure "API for your AI," defining how agents can interact.

Discover & Describe

Agents find each other and share their capabilities via standardized "Agent Cards," detailing what they can do and under what rules.

Authenticate & Authorize

A2A uses modern cryptographic protocols to ensure only trusted, authorized agents can communicate and perform tasks.

Exchange & Audit Tasks

Agents exchange structured tasks in a declarative, auditable way, creating a clear record of all cross-company interactions.

The Emerging Protocol Stack

A2A is a key layer in the new AI stack, focusing on inter-agent collaboration, while protocols like MCP focus on connecting agents to tools and data.

MCP (Model Context Protocol)

"How an agent uses tools"

Standardizes how models and agents connect to APIs, data sources, and internal functions.

A2A (Agent2Agent)

"How agents form relationships"

Standardizes communication between agents from different organizations for task handoff and delegation.

Core A2A Concepts

A2A introduces a few key ideas that make secure, autonomous collaboration possible. Click each concept to learn more.

Agent Card: The AI Business Card

A machine-readable profile describing an agent’s capabilities, interfaces, policies, and trust requirements. It's used for discovery ("find all agents that can process EU invoices") and to check compatibility before connecting.

Discovery & Routing: Finding the Right Partner

Agents can use registries or directories to discover other agents. Once a potential partner agent is found, its Agent Card is fetched to initiate a secure connection and task exchange.

A2A Tasks: Structured, Auditable Work

Instead of ambiguous messages, agents exchange declarative "Task" objects. These structured requests describe the work, inputs, constraints, and return channels, enabling multi-step workflows and creating a clear audit trail.

Emerging Trends & Market Implications

A2A is not just a technical standard; it's enabling new business and governance models.

Trend 1: Rise of Multi-Organizational Agent Ecosystems High Impact

Verticals like supply chain and finance are forming "agent networks" where cross-company coordination becomes automated.

Trend 2: Interoperability as a Governance Requirement Critical

A common standard like A2A centralizes security, compliance, and audit controls, making it necessary infrastructure for safe AI.

Trend 3: Creation of "Agent Service Provider" Business Models Emerging

Companies will expose their core capabilities as A2A-accessible agents, creating new revenue streams based on usage.

Key Challenges to Overcome

Moving to autonomous agent collaboration requires solving new challenges in trust, governance, and technology.

→Security & Identity

Establishing robust identity, credential management, and zero-trust access for non-human agents.

→Governance & Accountability

Defining legal and compliance frameworks for actions taken by a partner's autonomous agent.

→Observability & Debugging

Tracing and debugging complex, emergent behaviors in multi-agent workflows across companies.

→Organizational Readiness

Building new trust models and contracts with partners before granting external agents autonomy.

Ready to Build Your Agent Ecosystem?

A2A is turning partnerships into autonomous ecosystems. Let's discuss how to prepare your organization for the future of collaboration.

Schedule some AWESOME and let's talk >

Agent2Agent (A2A): When Your Partner's AI Talks to Yours