The Enterprise Architecture Trinity around Process Orchestration Intelligence, Data Integration and Streaming, and Trusted Safe Agentic AI
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The Trinity of Modern Data Architecture: Process Intelligence, Event-Driven Integration, and Trusted Agentic AI

Agentic AI without governed processes is fast but ungoverned. Event-driven integration without process intelligence moves data but not decisions. Process intelligence without live data automates the wrong outcomes. The fix is a converged architecture. This post shows what that looks like.
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Agentic AI with Apache Kafka as Event Broker Combined with MCP and A2A Protocol
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Agentic AI with the Agent2Agent Protocol (A2A) and MCP using Apache Kafka as Event Broker

Agentic AI is emerging as a powerful pattern for building autonomous, intelligent, and collaborative systems. To move beyond isolated models and task-based automation, enterprises need a scalable integration architecture that supports real-time interaction, coordination, and decision-making across agents and services. This blog explores how the combination of Apache Kafka, Model Context Protocol (MCP), and Google’s Agent2Agent (A2A) protocol forms the foundation for Agentic AI in production. By replacing point-to-point APIs with event-driven communication as the integration layer, enterprises can achieve decoupling, flexibility, and observability—unlocking the full potential of AI agents in modern enterprise environments.
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