Moving Beyond the Chatbot: Engineering Multi-Agent Workflows at Scale
Last month, I was sitting in a steering committee meeting where the business lead asked a blunt question: "Why can't our AI assistant actually process an order refund?" We had spent six months building a solid RAG (Retrieval-Augmented Generation) system that could explain our return policy in five languages, but it couldn't actually do anything. It was a librarian, not an employee. In real projects, this is where most enterprise AI initiatives are hitting a wall. We've moved past the novelty of generative AI chatbots, and the pressure is now on to deliver actual business automation. But here's the problem: you can't just give a single LLM prompt access to your entire ERP, CRM, and logistics stack and hope for the best. That leads to security nightmares and "hallucinated" transactions that are a pain to undo. The shift we're seeing for 2025 and 2026 isn't about bigger models; it's about moving toward an orchestrated environment of...