Moving Past Chatbots: How We’re Actually Governing Multi-Agent Workflows in 2026
The Messy Reality of Agent Sprawl Last week, I sat in a post-mortem for a procurement workflow that went sideways. We had one autonomous agent in Azure handling vendor research and another in AWS Bedrock managing contract lifecycle management. They were supposed to hand off data via a standard API, but instead, they ended up in a recursive loop of 'clarification requests' that burned through $400 in token costs in twenty minutes and locked a vendor record in our ERP. In real projects, this is the '2026 problem.' We’ve moved past the novelty of asking a chatbot to summarize a PDF. We’re now building systems where agents—specialized LLM-based services with tool-calling capabilities—are executing actual business logic across different cloud providers. The challenge isn't the AI itself; it’s the governance of these agents so they don’t turn your enterprise service bus into a chaotic mess of unauthenticated requests and infinite loops. From Simple Tool-Calling to Multi-A...