Insights

Leveraging the Agent2Agent protocol to unlock strategic advantage in multi-agent enterprise deployments

Is A2A the missing layer for the agentic enterprise? Why C-suite leaders cannot ignore it.

Adnan Masood, PhD, Chief AI Architect, UST

When I wrote about the Model Context Protocol, the question on the table was how a single AI model reaches into enterprise data and tools. Eighteen months on, that question has been largely settled, and a harder one has taken its place. Enterprises are no longer deploying one agent. They are deploying dozens, often hundreds, built by different teams on different platforms from different vendors, and those agents need to find each other, negotiate work, and hand off tasks without a human relaying messages in between. The Agent2Agent protocol, or A2A, is the emerging standard for exactly that problem. As with MCP, I see A2A as a strategic inflection point, not a technical curiosity. The decisions senior leaders make about it in the next twelve months will shape whether their agent estates compound in value or fragment into a new generation of silos.

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Understanding A2A: Beyond tool integration

At its core, A2A establishes standardized communication between autonomous agents. Google introduced it in April 2025 with a broad coalition of technology and consulting partners, then placed it under the Linux Foundation so no single vendor controls its direction. The protocol is built on familiar web foundations: JSON-RPC 2.0 over HTTPS, with streaming through server-sent events and push notifications for long-running work.

Three concepts carry most of the weight. The first is the Agent Card, a machine-readable document published at a well-known URL that advertises what an agent can do, how to authenticate with it, and which interaction modes it supports. Discovery becomes a lookup instead of a negotiation between two engineering teams. The second is the Task, a first-class object with a lifecycle that moves through states such as submitted, working, input-required, and completed. This gives multi-step, multi-hour collaboration a durable identity that survives retries, escalations, and audits. The third is the exchange of Messages and Artifacts, structured so that agents can pass text, files, and typed data without exposing their internal reasoning, memory, or tool implementations to one another.

That last point matters more than it first appears. A2A treats each agent as an opaque peer. An agent built by a vendor, an agent built by your own platform team, and an agent operated by a business partner can collaborate on a task while each keeps its proprietary logic private. This property makes cross-organizational agent workflows possible.

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Why A2A matters

For CIOs and CTOs, A2A addresses the integration debt that is already accumulating inside agentic programs. Without a shared protocol, every pair of agents that needs to cooperate requires a custom bridge, and the number of bridges grows quadratically with the number of agents. A2A collapses that to a single standard per agent. It also preserves optionality. An enterprise can build orchestrating agents on one platform, specialist agents on another, and still wire them together, materially reducing lock-in at the layer where it would be most expensive to unwind.

For CFOs, the case rests on avoiding integration costs and on measurability. Tasks with explicit lifecycles produce clean telemetry: how many were submitted, how many completed, how long each took, and where they stalled. That telemetry feeds directly into unit economics for agentic processes and makes it far easier to attribute cost and value to specific workflows, rather than a vague “AI budget.”

For risk, security, and compliance leaders, A2A brings both relief and new obligations. Relief, because Agent Cards declare authentication requirements up front and the protocol rides on standard enterprise identity and transport security. New obligations, because an agent that can delegate work to other agents is a principal that can act at scale. Policy must define which agents may discover which, what tasks may be delegated across trust boundaries, and how every delegation is logged for audit.

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MCP and A2A: Two layers of one architecture

A recurring executive question is whether A2A replaces MCP. It does not. The two protocols solve adjacent problems and are designed to coexist. MCP governs how agents connect to tools, data, and resources. A2A governs how agents connect. In a well-designed enterprise stack, an orchestrating agent receives a task over A2A, decomposes it, delegates subtasks to specialist agents over A2A, and each specialist reaches into the systems it needs through MCP. I describe this to clients as the vertical and horizontal axes of agent integration.

Both protocols now live under vendor-neutral foundations, which is exactly the trajectory I hoped for when I first wrote about MCP. Anthropic, which created MCP, contributed it to the Linux Foundation’s Agentic AI Foundation in late 2025, and the two projects have been converging on shared conventions instead of competing for mindshare. For enterprises, this reduces the risk of betting on either standard and increases the value of adopting both together.

The table below summarizes how the two protocols differ in scope and design.

Comparative analysis: MCP and A2A

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Where UST and Anthropic fit

UST’s role as an Anthropic Global Premier Partner shapes how we approach this layer in practice. Much of our agentic delivery work runs on Claude, and Anthropic’s position on interoperability has been consistent and, in my view, correct: MCP for agent-to-tool integration, A2A for agent-to-agent coordination, and open governance for both. That alignment lets us design agent estates for clients in healthcare, financial services, and insurance where a Claude-based orchestrator can delegate to specialist agents built on other platforms without a bespoke adapter for each pairing.

The partnership also gives our teams early visibility into how Anthropic’s tooling is evolving around these standards, which we fold into the reference architectures and evaluation harnesses we use on engagements. The practical result is that clients inherit a design that assumes heterogeneity from day one. A client running Claude for reasoning-intensive work, a domain-specific model for a regulated workflow, and a partner’s agent for a shared supply chain process should be able to treat all three as peers. A2A is the protocol that makes that treatment real, and our joint work with Anthropic tests it against production constraints before it reaches a client’s environment.

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Strategic framework for A2A readiness

Assessment and agent inventory

The first step is knowing what you already have. Most enterprises are surprised by the number of agents in production or late pilot once they count assistants embedded in SaaS platforms, internally built copilots, and vendor-delivered automation. Catalog each agent’s owner, platform, capabilities, and current integration method. Identify where agents are already passing work to each other through brittle means such as shared queues, email, or human relay.

Organizational alignment and delegation policy

A2A makes delegation cheap, which means delegation policy becomes the central governance artifact. Convene a working group across architecture, security, business lines, and finance to define which classes of agents may delegate to which, under what approval thresholds, and with what audit requirements. The CIO owns platform readiness, the CTO owns protocol standards and reference architecture, and the CFO owns the measurement framework that ties task telemetry to cost and value.

Technology evaluation and selection

Evaluate agent platforms and orchestration frameworks against their A2A support, including Agent Card publication, task lifecycle fidelity, streaming, and authentication schemes. Assess MCP support in the same exercise, since the two will be deployed together. Weigh extensibility, performance under long-running tasks, compliance posture, and the maturity of each vendor’s contribution to the open standard.

Implementation roadmap

Begin with a bounded multi-agent workflow where the handoff is well understood, and the failure modes are recoverable. Claims triage feeding a fraud review agent, procurement intake feeding a supplier risk agent, or customer service escalation feeding a specialist resolution agent are natural candidates. Instrument the task lifecycle from the outset so the pilot produces the telemetry needed to justify scaling. Retain the previous integration path as a fallback until the A2A path has proven itself under production load.

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Managing A2A risks: An evidence-based perspective

Delegation sprawl. The same property that makes A2A valuable makes it dangerous if ungoverned. An agent that can enlist other agents can generate work, cost, and risk faster than any human review cycle. Hard limits on delegation depth, budget caps per task, and mandatory human checkpoints for consequential actions are the mitigations, and they need to be enforced at the protocol boundary rather than left to individual agent developers.

Identity and impersonation. Agent Cards are self-declared. Without a trusted registry and signed cards, an adversary can publish a card that claims capabilities it lacks or impersonates a legitimate agent. Enterprises should operate their own agent registry, require mutual authentication, and treat any agent outside that registry as untrusted by default.

Protocol maturity. A2A is younger than MCP and its specification is still evolving. Version drift between agents on different releases is a real operational risk. Pin versions, test compatibility across upgrades, and keep engineering engaged with the open-source community so that your requirements shape the standard rather than lag it.

Cross-organizational data exposure. When tasks cross company boundaries, artifacts flowing between agents can carry regulated data. Data classification must be applied to A2A artifacts with the same rigor as to any other outbound transfer, with contractual and technical controls agreed before the first cross-boundary task is submitted.

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Actionable recommendations for senior leaders

Immediately, commission an agent inventory and convene a working group to draft delegation policy. These two artifacts will be reused in every subsequent phase and cost little to produce now.

In the short term, stand up one A2A pilot alongside an existing MCP-integrated agent, so your teams learn how the two layers behave together, not separately. Measure task completion rates, cycle times, and cost per task from the first week.

In the longer term, embed A2A and MCP support as standing requirements in enterprise architecture governance and in vendor procurement criteria. Every new agent, whether built or bought, should arrive with an Agent Card and MCP-compatible tool access as a condition of entry into the estate.

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Conclusion

The Agent2Agent protocol addresses the problem that arises the moment an enterprise moves from one agent to many. It gives agents a standard way to discover, delegate to, and collaborate across platforms and organizational lines, and it complements MCP rather than rivaling it. The economic argument is strong, the governance obligations are real, and the open stewardship of both protocols reduces the risk of committing early. Senior leaders who inventory their agents now, define delegation policy early, and pilot A2A alongside MCP will build agent estates that compound in capability. Those who wait will find themselves rebuilding integration layers they could have avoided. The time to act is now.