<p>This article presents a conceptual and integrative review of how multinational corporations articulate and operationalise the governance of artificial intelligence (AI). Drawing on three major bodies of scholarship—strategic governance, stakeholder engagement, and technology risk governance—the review synthesises existing research alongside publicly disclosed governance frameworks, policies, and oversight structures from eight global firms. The review identifies persistent tensions between innovation and risk management, fragmentation across global governance regimes, and the continuing gap between high-level responsible AI principles and their practical implementation. Using a structured comparative lens, the article synthesises shared governance patterns, sector-specific adaptations, and divergences in transparency, board oversight, lifecycle risk management, and regulatory alignment. The review highlights that while corporations increasingly articulate responsible AI commitments, governance maturity remains uneven and, in some cases, risks becoming symbolic, with substantial variation in structural integration, stakeholder engagement, and risk controls. The article concludes by outlining conceptual, organisational, and regulatory challenges that shape the future of corporate AI governance and proposes directions for research on cross-sectoral and cross-jurisdictional governance practices.</p>