From Chatbots to 'Agentic Mesh': Architecting Enterprise Governance for Autonomous AI-to-AI Orchestration
Last year, I sat in a steering committee meeting where the VP of Operations asked why our highly-praised customer service chatbot couldn't actually process a refund. The bot could explain the refund policy in three languages and cite our documentation perfectly, but it couldn't actually touch the ERP. It was a glorified document reader. Like most 'Year 1' AI projects, it was isolated, read-only, and fundamentally disconnected from our actual business logic. In real projects, we’re now moving past these standalone 'wrapper' bots into what people are calling an 'Agentic Mesh.' If you strip away the hype, what we’re really talking about is an architecture where multiple specialized LLM-based services talk to each other and trigger internal APIs to complete a task. It’s not just a chat interface anymore; it’s service orchestration where the 'glue code' is written on the fly by an LLM using function calling. But if you think managing a microservices...