AI is rapidly becoming the dominant interface layer for enterprise systems. But the conversation is often focused on models and capabilities, rather than the systems those models depend on.

In practice, AI is constrained by data access, latency, and integration with operational systems. The gap between what AI promises and what enterprises can deliver is rarely about the models themselves – it is about the underlying architecture.