API Facade vs. Orchestration vs. Eventing, Now With AI in the Loop

AI Doesn't Replace Your Architecture; It Becomes Part of It

Picture this. Your team has just integrated a large language model into your enterprise application. The demo looked compelling. The agent interpreted user intent, called several APIs, and returned a coherent result. Everyone in the room was impressed.

Then the questions started. What happens when the LLM misinterprets a request and calls the wrong API? Who owns the business logic embedded in that prompt? If the model changes, does the integration break? How do you audit what the AI decided and why?