Moving Beyond Chatbots: Real-World Orchestration of Multi-Agent Systems
Last month, I sat in a review where a dev team proudly showed off their 'multi-agent system.' In reality, it was four nested Python scripts calling the OpenAI API with hardcoded prompts and absolutely no error handling. When the first API call timed out, the whole thing collapsed. When the second call returned a slightly unexpected JSON format, the third script crashed. This is the reality of 'agentic workflows' in the enterprise right now: a lot of excitement, but very little robust engineering. As we move into 2026, the novelty of talking to a PDF has worn off. Stakeholders want autonomous systems that actually do work—processing claims, managing procurement, or triaging Jira tickets. But building a system where multiple 'agents' (which, let’s be honest, are just LLM-backed microservices) interact without creating a chaotic, expensive mess is a massive architectural challenge. We aren't just integrating an API; we are building a distributed system where ...