How We Built An Operations Support AI Agent for a Global Auto Industry Leader's Post Sales Software Department

I was working with a global auto industry leader on their post-sales software platform. The platform had recently launched with seven modules. Each module was built as a microservice. Communication across services happened primarily through a message streaming broker. The data flow between services was non-trivial — upstream and downstream dependencies, bidirectional communication patterns, and conditional routing based on context. The Operational Reality When an end user raised a complaint, the support team had to perform initial root cause analysis before escalating to engineering. The system had too many moving parts for quick intuition based debugging. And more importantly, the mental model of "how everything connects” was concentrated in one person on the support team. This wasn't a tooling problem. It was a knowledge distribution problem. The question became: Can we codify the debugging intuition of the most experienced support engineer — and make it usable by anyone? That's wher