Agentic Workflows in Business: The Evolution of AI Chatbots

The rapid rise of Retrieval-Augmented Generation (RAG) has made building basic RAG systems a straightforward task, an engineering team can deliver a prototype in just weeks using now established tooling. With off-the-shelf solutions now available, the challenge has shifted from mere implementation to differentiation. Simple RAG systems, while effective to a point, often lack the sophistication needed for more complex, enterprise-level applications. To truly unlock the potential of AI in business, we must explore agentic workflows—structured, dynamic processes that empower AI chatbots to act autonomously in specific and multi-function tasks, where RAG is simply a building block of a more complex AI system.