AI Governance, Risk, and Compliance Readiness in Large Enterprises: A Comparative Case Study of Microsoft, Google, and Salesforce

This study examines AI governance, risk, and compliance readiness in large enterprises through a comparative case analysis of Microsoft, Google, and Salesforce. The research explores how leading technology organizations are developing governance frameworks to manage emerging risks associated with artificial intelligence systems, including regulatory compliance, ethical oversight, and operational risk management. The study applies a qualitative comparative case study approach, drawing on publicly available corporate reports, policy documents, and industry literature. Findings highlight differences in governance maturity, risk management strategies, and compliance alignment across firms, offering insights into emerging best practices in enterprise AI governance. This work contributes to ongoing discussions on responsible AI deployment, enterprise risk management, and the evolving regulatory landscape surrounding artificial intelligence systems.