The findings from IBM’s latest study of 3,221 senior executives reveal a disconnect between the reality of AI failure and internal policy. While 35% of organizations already operate agentic AI in production, only 37% claim their governance structures are built to scale with such technology. When faced with the friction between deployment speed and compliance, a majority of firms choose to move forward within existing risk limits rather than pausing to update their protocols.
Corporate Governance Trails Behind Rapid AI Agent Adoption in EMEA
Eight in ten executives across Europe and the Middle East report that AI-related incidents reached their boardroom over the past year, yet fewer than half of these organizations updated their governance frameworks in response. As enterprises deploy autonomous agents, a widening gap between rapid adoption and risk accountability emerges.
Ana Paula Assis, IBM Senior Vice President for EMEA and APAC, argues that governance must evolve from a simple compliance exercise into a core business requirement. Despite 98% of firms assigning AI risk responsibility to the board level, there is no consensus on who bears the brunt of legal liability when systems cause harm. Currently, only 37% of surveyed organizations have a formal, board-reviewed quantification of the financial risks tied to their AI governance gaps. As companies prepare for a 2027 landscape where agents operate with increasing autonomy, executives are calling for clearer contractual frameworks, real-time audit trails, and defined human escalation thresholds to bridge the accountability divide.
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