This paper presents a practical framework for governing artificial intelligence in enterprise environments. As AI becomes central to operations, organizations must ensure systems remain reliable, compliant, and aligned with business goals. The proposed governance model is built on five pillars: data quality, defined business rules, regulatory compliance, human oversight, and continuous monitoring. Together, these controls reduce operational and legal risks while supporting responsible innovation. By combining structured policies with skilled professionals and ongoing review processes, enterprises can scale AI confidently and sustainably.