Introduction

As enterprises race to deploy generative AI Apps/Agents , the hardest question isn't " which foundation model do we use?. " it's "how do they safely talk to each other? "

If you spent the 2010s building distributed systems , the architectural blueprints emerging for enterprise AI will feel strangely familiar. Bounded contexts , service registries , async message queues, and distributed tracing are all back. The vocabulary is almost identical except our "services" now reason in natural language, call tools, and produce probabilistic, context-aware outputs instead of deterministic ones.

The Agent-to-Agent (A2A) Protocol is the open-standard transport and interface layer that makes this architectural analogy concrete.…