AWS Shows How AI Agents From Different Companies Can Work Together via A2A
Source Amazon AWS Machine Learning blog

At a glance
The article shows how AI agents from different organizations can hand off tasks without exposing their internals, using AWS. An enterprise orchestrator and a SaaS provider's agent run in separate AWS accounts and work together even though they use different frameworks.
Key points
A2A, a shared protocol, lets agents find each other and exchange tasks.
Each side uses its own login service and shares only public settings, not secret keys.
The enterprise agent calls a compliance-check skill listed on the other agent's card when needed.
New skills are added by registering an agent card, without changing the agents already running.
Why it matters
Companies can connect AI services built with different tools without writing custom code for each customer, which makes shared multi-company AI services easier to build.
Original article
Build composable, interoperable multi-agent systems with A2A on AWS
Amazon AWS Machine Learning blog · Nov 13, 2026, 12:42 AM GMT+9 · aws.amazon.com
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