Dallas skyline illustration

CYC26 / AI

Building Intelligent Integration Flows: From Natural Language to Execution with Ballerina

Enterprise integration is entering a new era, one where systems no longer just follow predefined flows but actively reason about what needs to be done. This session explores the shift from traditional integration pipelines to agentic systems powered by AI. By combining Natural Programming, AI Agents, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP), we can build systems that understand intent, retrieve context, and execute actions across enterprise environments. With Ballerina as the foundation, we’ll demonstrate how these ideas translate into real-world implementations, where AI orchestrates APIs, interacts with services, and drives business workflows end-to-end. Discover how to design integration platforms where large language models become operational decision-makers, enabling faster development and more intelligent automation.

Session abstract

What you’ll learn

Enterprise integration is entering a new era, one where systems no longer just follow predefined flows but actively reason about what needs to be done. This session explores the shift from traditional integration pipelines to agentic systems powered by AI. By combining Natural Programming, AI Agents, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP), we can build systems that understand intent, retrieve context, and execute actions across enterprise environments. With Ballerina as the foundation, we’ll demonstrate how these ideas translate into real-world implementations, where AI orchestrates APIs, interacts with services, and drives business workflows end-to-end. Discover how to design integration platforms where large language models become operational decision-makers, enabling faster development and more intelligent automation.