Beyond RAG: Orchestrating Multi-Agent Workflows in Real Enterprise Environments
I remember a project about eighteen months ago where we rolled out our first internal RAG (Retrieval-Augmented Generation) system. The stakeholders were thrilled that they could finally 'chat' with their 400-page compliance PDFs. It was a solid win, but the excitement lasted exactly three weeks. Then the requests started coming in: 'Can the bot actually update the compliance status in Jira?' or 'Why can’t it trigger a re-certification workflow in ServiceNow when it finds a gap?' This is the wall most enterprises are hitting right now. We’ve spent the last couple of years perfecting how to retrieve information, but we’re failing at execution. Moving from a passive retrieval system to an active orchestration of agents isn't just about adding more LLM calls; it’s about figuring out how to let different AI-driven services talk to our legacy stack without blowing everything up. In my experience, this is less of an AI problem and more of a classic integration and ...
