Beyond the model: Architecting production-grade enterprise AI systems

Enterprises rarely lack AI options, they lack a coherent way to use them. Moving from “we should use AI” to production-ready capability is an architecture problem shaped by which models you adopt, what infrastructure runs them, and how you deploy and operate them alongside your existing estate.Enterprise AI initiatives often fail because the conversation ends at the model. Without model storage, a serving layer, integration into existing systems, and someone to operate it all, a capable model is still a pilot.This article is written for enterprise architects, solutions architects, and technica