Board members are being asked to govern AI investments they were never equipped to evaluate. That gap — between the decisions boards are expected to create and the details they actually receive — is one of the most consequential structural failures in enterprise AI today.
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Artificial intelligence solutions are evolving rapidly, creating vast potential for increased insight, productivity and collaboration. But as organizations develop an AI strategy to harness the technology’s innovative features and significant benefits, they must additionally prioritize responsible implementation and consideration of risks.
RSM’s experienced AI risk professionals deliver comprehensive AI solutions to assist you establish an effective AI governance program before you implement this advanced technology. AI governance differs from typical corporate, data or IT governance because it extends beyond folks, process and technology to encompass additional ethical and data considerations. AI solutions— especially generative AI and agentic AI —require guardrails and controls to confirm their output is unbiased. AI processes should moreover align with business strategies and regulatory guidelines.
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Artificial intelligence (AI) has transitioned from a cutting-edge technology to a critical component of modern business strategies. By 2030, AI is projected to contribute $15.7 trillion to the global economy, surpassing the GDP of the European Union ( PwC ). In Germany, 27% of companies reported using AI technologies in 2024, a marked increase from 20% in 2023 ( Statista ). AI-driven applications in automation, customer personalization, and predictive analytics are reshaping industries ranging from healthcare to finance.
Boards that fail to establish robust governance now will be at a significant competitive and regulatory disadvantage. We bridge the gap between AI's potential and your organization's fiduciary obligations.
RSM’s proven AI Governance Framework guides our risk approach and our work with clients. Continuously evolving, it incorporates critical elements from various top-practice frameworks, delivering a more comprehensive approach and addressing a wider range of potential risks compared to typical single frameworks. While extensive, the RSM framework is furthermore adaptable, tailoring AI governance to your specific level of risk exposure.
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Develop and implement board-level frameworks for AI risk management and ethical oversight. We provide actionable insights that enable robust governance, helping boards ensure ethical, legal, and social oversight of AI while capturing strategic and financial benefits.
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As organizations prepare to move past the piloting stage to integrate AI more broadly into strategy and operations, how active are boards in overseeing their organizations’ approach to AI? Are they providing the right level of stewardship to support the organizations’ management teams balance the wide array of opportunities and risks that AI can introduce?
Despite these risks, AI offers unparalleled opportunities for those who approach its governance strategically. Studies indicate that organizations with robust governance frameworks are 35% more likely to achieve sustained innovation and experience 22% fewer compliance breaches ( Harvard Business Review ). This article explores how boards of directors and supervisory boards can ensure that AI is implemented responsibly, ethically, and legally—while unlocking its full potential.
