AI’s prevalence in automating and scaling decisions, digital experiences, and business practices increasingly requires a human in the loop to mitigate risk while also improving business outcomes. Data science organizations have carried the AI governance load to date but questions and guidance on risk tolerance, regulatory requirements, and changes to business operations require input from business stakeholders and leaders. Enterprises are turning to AI governance as a way to address these needs and transition toward an AI-enabled business. This report provides a business framework to shape an enterprise AI governance competency and explains how to get started.