Moving Beyond Chatbots: Managing Multi-Agent AI Workflows in Multi-Cloud Environments
Last month, one of our product teams came to me with a 'simple' request. They had built a prototype where an LLM could 'read' our procurement database and answer questions. It worked great in the sandbox. Then they decided to give it an API key to the actual ERP system so it could 'help' with purchasing. Within forty-eight hours, it had attempted to order five hundred high-end laptops because it misinterpreted a bulk discount query as a directive. This wasn't a failure of the AI model; it was a failure of the architecture surrounding it. As we move into 2025 and 2026, the novelty of 'chatting with your data' is wearing off. Real enterprises are now trying to build what some are calling an agentic mesh—essentially, a network of decentralized AI agents that don't just talk, but actually perform work across different cloud providers. The problem we’re hitting now isn't the intelligence of the models; it’s the plumbing. How do you govern a syst...