#ai-strategy
Building an AI strategy that is more than a list of approved pilots.
Tagged articles (62)
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.
UK AI Energy Constraints: From Niche Concern to Investment Banking Focus
When Goldman Sachs says power, not capital, is AI's bottleneck, energy stops being a niche concern. UK Boards pay four times their competitors' energy costs.
AI Sovereignty: A Board's Guide to Navigating Conflicting National Agendas
AI governance is fragmenting into incompatible systems: Europe's transparency, America's scale, China's control. Boards can no longer serve all three; they have to choose.
Why Boards Need to Watch the EU's General-Purpose AI Code of Practice
The EU's General-Purpose AI Code of Practice marks regulatory divergence: Europe sets transparency guardrails while America deregulates. Boards must now choose between transparency and speed.
From Print to Web to AI: Creating Sustainable Value in the AI Era
AI answer engines are rewriting how value flows through information, as the web did to print. Value exchange now has to be designed, not assumed.
AI’s Hidden ROI: Measuring Second and Third-Order Effects for Board Decisions
AI's largest returns arrive late, as second- and third-order effects on capability and business model. Boards need leading and predictive indicators to see them.
How Agentic AI Turns Your Biggest Tech Problem into Competitive Advantage
The legacy estate that constrains agentic AI is also its largest opportunity. Retiring technical debt is what clears the path for autonomous systems.
Beyond Regulatory Uncertainty: Thoughts on the UK's AI Sovereignty Challenge
Individual AI training clusters will soon need more electricity than whole nations generate. The UK's AI sovereignty ambition meets its energy reality.
AI Centre of Excellence: Building Capabilities That Scale With AI Adoption
An AI Centre of Excellence earns its keep through capability, not governance paperwork: Five Pillars capabilities built to match a multi-speed organisation.
AI Centre of Excellence: Designing Structure for Multi-Speed Governance
Organisations adopt AI at different speeds, so one governance structure cannot fit them all: designing an AI Centre of Excellence for that multi-speed reality.
A Complete AI Adoption Framework: AISA, Five Pillars, and Well-Advised
The AI Stages of Adoption, the Five Pillars, and Well-Advised are one framework: how they integrate to govern multi-speed AI adoption across the organisation.
Rethinking Business Cases in the Age of AI: and Securing Buy-In from the Board
A well-built AI business case can still fail at the Board. When 88% of pilots never reach production, approval must carry a path to scale.
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