


Return-to-Work Briefing: Five Forces Reshaping the Board AI Agenda in 2026

The Year AI Grew Up: Five Inflections That Changed the Strategic Calculus in 2025

The Return of Traditional AI: Organisations Are Rethinking Their LLM-First Strategies

A New Grid Actor: AI Infrastructure Is Becoming Energy Infrastructure

The AI Maturity Mirage: Diagnosing the Gap Between Investment and Readiness

Minimum Lovable Governance: The AI Operating Principle Boards Should Use

World Models: The Next Horizon in AI for Predictive Enterprise Intelligence

The Accountability Gap: When AI Delegation Meets Human Responsibility

The Compound Loop: Why Agentic AI's Real Power Lies Beyond Generative AI

Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice

Completing the AI Strategy Journey: From Policy to Practice Through Coherent Actions
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Explore my full archive of articles on AI, Board governance, cloud, data, and emerging technology.
View all articles →Video Spotlight
If you’re new here, start with this short briefing. It explains what agentic AI actually is, how it differs from today’s generative systems, and why the shift toward machine autonomy changes accountability, governance, and decision-making at board level.
My Toolkit
AI rarely fails because of technology. It stalls because organisations lack shared ways to assess readiness, build capability, and govern decisions as systems gain autonomy. This toolkit presents the core frameworks and decision tools I share publicly — part of a wider set of mechanisms I use with boards and executive teams to translate AI ambition into controlled, repeatable progress at scale.
A five-stage framework for understanding where your organisation stands in its adoption of AI
The five capabilities you must mature to successfully transform your organisation with AI
Measuring AI value beyond cost savings, capturing returns across innovation, customer, operations, and profit
The operating principle for building AI governance that people embrace rather than route around
Reveal your organisation's multi-speed AI reality. Map each business function to AISA stages, assess Five Pillars maturity, and surface the capability gaps blocking your next transition
Score AI initiatives against Well-Advised strategic priorities and Five Pillars capabilities. Ensure proposals deliver balanced value and build the capabilities your organisation actually needs
Applying Richard Rumelt's strategic framework to AI transformation. From the business case trap through diagnosis, guiding policy, to coherent actions.
An eight-part guide to establishing your AI Centre of Excellence. Structure, functions, capabilities, and governance for multi-speed adoption.
Navigating the sovereignty trilemma of trust, speed, and control. Energy constraints, data centre diplomacy, and regulatory fragmentation across regions.
Building business cases that capture AI's unique value creation patterns. Strategic alignment, multi-dimensional metrics, and compelling board presentations.




