In a recent LinkedIn post, Clare Kitching discusses the critical challenges and differing perspectives surrounding Artificial Intelligence (AI) governance within organizations. Rather than focusing on the fear that governance will impede AI adoption, Kitching argues that the more significant risk lies in uncoordinated efforts by various executives, each viewing AI governance through their own departmental lens.
The Peril of Siloed AI Governance
Clare Kitching highlights how different C-suite roles approach AI governance with distinct priorities, often leading to a lack of cohesive strategy. She points out that while these executives are taking necessary steps, their conversations are not always aligned.
“The bigger risk is six executives choosing to govern six different things.”
According to Kitching, the CEO is primarily concerned with enabling rapid progress without triggering significant issues that would require explanation to the board. The CFO, on the other hand, is focused on the financial implications of AI implementation failures. Meanwhile, the CIO grapples with understanding the existing AI landscape, ownership, and potential impacts.
Diverse Executive Viewpoints on AI
Kitching breaks down how AI governance is perceived from various executive vantage points:
- CEO: Wants the authority to approve AI initiatives swiftly. Kitching notes, citing BCG data, that “72% of CEOs now say they’re the main AI decision maker (BCG, AI Radar 2026).”
- CFO: Concerned with the cost of AI missteps. As Kitching points out, referencing McKinsey, “Firms with clear AI accountability score 2.6 on maturity vs 1.8 without.”
- COO: Worries about the consequences when AI agents make errors.
- CIO: Faces the challenge of “shadow AI,” with Microsoft data revealing that “more than 80% of the Fortune 500 already run agents, and 29% of staff use ones nobody approved.”
- CDO: Questions the quality and suitability of the data underpinning AI initiatives.
- Risk and Legal: Focus on demonstrating oversight and maintaining an auditable trail.
A Unified Foundation for AI Governance
Despite these varied perspectives, Kitching identifies a common foundational requirement for effective AI governance. She argues that the core need across all these viewpoints is a unified approach.
“Six views, one foundation underneath all of them: every agent needs an identity, a human owner who’s accountable, set permissions, and an audit trail.”
Kitching concludes that by establishing this fundamental framework—ensuring every AI agent has a clear identity, a designated human owner responsible for accountability, defined permissions, and a robust audit trail—organizations can better satisfy the requirements of each executive seat at the table. This approach, she suggests, moves beyond the fear of slowing down AI adoption and addresses the more substantial risk of fragmented and ineffective governance.
📝 About This Content
This article is based on insights shared by Clare Kitching on LinkedIn.
📅 Originally posted on September 7, 2026 | View original post on LinkedIn →