Artificial intelligence is reshaping how organisations make decisions, manage risk and create value. Yet while technology accelerates, governance often lags behind, trapped in rulebooks, approvals and controls designed for a slower, more predictable world.
As AI introduces speed, scale and uncertainty, traditional governance models are reaching their limits. More rules do not create better control. In many cases, they create fragility.
Adaptive Governance in the Age of AI offers a clear, forward-looking alternative.
Drawing on deep international experience across Europe and Asia, this book argues that governance must evolve from rigid, process-driven bureaucracy to principle-based, adaptive systems - systems designed to enable both speed and integrity. It re-frames governance not as a constraint on innovation, but as a strategic capability that allows organisations to act responsibly under uncertainty.
The book explores:
• Why rule-based governance collapses under AI’s pace and complexity
• How framework-based governance replaces prescriptive controls with principles, boundaries and judgement
• The human foundations of adaptive governance, including leadership, culture, incentives and psychological safety
• How Internal Audit must evolve from control testing to governance-system assurance
• Why AI itself may become a new layer of assurance, strengthening transparency and trust
• How internal over-control becomes a hidden organisational risk
• The limits, tensions and real-world challenges of adaptive governance, examined honestly and critically.
Written for Boards, Regulators, C-suite leaders, Internal Audit, Risk Management, Legal and Compliance professionals, this book avoids both technical hype and abstract theory. Instead, it offers a practical, globally informed governance architecture for organisations operating in an AI-driven environment.
This is not a promise of certainty. It is a blueprint for governing responsibly when certainty no longer exists.
The organisations that succeed in the age of AI will not be the most controlled. Will be the most adaptive.
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