Google's Agent2Agent (A2A) protocol aims to help AI agents collaborate by providing a shared language. However, the current transport mechanism used by A2A is point-to-point and tightly coupled, which becomes a problem at enterprise scale. To build a real enterprise agent ecosystem, A2A needs an architecture that supports loose coupling, multiple consumers, durable communication, and real-time flow of events across systems. Apache Kafka's event-driven architecture can provide this foundation, enabling A2A messages to be published and subscribed to in a scalable and decoupled manner. By combining A2A's structured protocol with Kafka's capabilities, we can shift from brittle point-to-point integrations to a dynamic ecosystem where agents publish insights, subscribe to context, and coordinate in real-time.