Articles
Exploring artificial intelligence adoption, governance, and transformation strategies for enterprise leaders and Boards.
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The AI Maturity Mirage: Diagnosing the Gap Between Investment and Readiness
Boards overestimate AI maturity by counting tools and pilots rather than capability. Three patterns create the illusion, and each can be diagnosed before it misleads.
Minimum Lovable Governance: The AI Operating Principle Boards Should Use
Minimum lovable governance replaces episodic compliance with continuous, embedded oversight people actually want to use: guardrails that earn adoption rather than enforce it.
World Models: The Next Horizon in AI for Predictive Enterprise Intelligence
World models move AI from reacting to anticipating: systems that simulate future scenarios, with aviation and finance already seeing the operational gains.
The Accountability Gap: When AI Delegation Meets Human Responsibility
Organisations are transferring decision-making agency to AI while accountability stays with people, and approving deployments without the verification capability that accountability needs.
The Compound Loop: Why Agentic AI's Real Power Lies Beyond Generative AI
Agentic AI is more than generative AI in a loop. Compound loops coordinating several AI disciplines are where returns stop being linear.
Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice
Agentic AI is this year's poster child, and most of the confusion is about what agents actually do. The Board's decision is strategic, not technical.
Completing the AI Strategy Journey: From Policy to Practice Through Coherent Actions
69% of Boards discuss AI regularly; 33% feel equipped to oversee it. Closing the execution gap means policy becoming actions that compound rather than fragment.
Orchestrating Multi-Speed AI: The Complete AI Framework as Guiding Policy
Most organisations use AI; few have redesigned the work around it. The Complete AI Framework is the guiding policy turning diagnosis into action.
AI's Interconnected Challenge: Diagnosing the Six Concerns of the Board
The Board's six concerns demand simultaneous orchestration and receive sequential, project-level attention. Treating them as one diagnostic lens is where AI governance starts.
From AI Pilots and Projects to AI Strategy: Avoiding the Business Case Trap
Approving AI business cases at record pace is not a strategy: 92% are investing more, 1% have reached maturity. The gap is coherence.
After the AI Amnesty: Practical Steps to Operationalise Discovered Shadow AI
After the amnesty, speed matters: employees who disclosed expect enablement, not restriction. A roadmap for turning discovered shadow AI into governed capability.
Shadow AI and the Case for an AI Amnesty
Shadow AI is surging and most employees would use AI tools without permission. An AI amnesty turns that hidden risk into governed, employee-validated innovation.
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