Generative AI has moved from experimental prototypes to production‑grade systems in a remarkably short time. Yet for most engineering teams, the challenge isn’t building a model — it’s deploying AI responsibly inside an enterprise environment. Issues like data privacy, model governance, cost control, and integration with existing systems often overshadow the excitement of large language models.