#ai-transformation
Change that compounds: reshaping the organisation around AI.
Tagged articles (27)
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.
Crossing the GenAI Divide: Solving The 95% Problem With The Complete AI Framework
MIT confirms what I have argued since 2024: 5% of organisations take generative AI from pilot to production. The Complete AI Framework answers that divide.
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.
AI Centre of Excellence: Scaling Beyond Pilots to Enterprise Transformation
Successful pilots mask a harder problem: scaling them into enterprise-wide transformation. After the first 90 days, the AI Centre of Excellence's real test begins.
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.
Upskilling for the AI Era: Building a Future-Ready Workforce
The scramble for AI talent repeats the early cloud years, and the answer is the same: upskill the people already there instead of chasing hires.
Increasing AI Maturity: Navigating the AI Stages of Adoption with the Five Pillars
Readiness for the next AI stage is a Five Pillars question, not a calendar one: a function advances only when every pillar reaches the threshold.
Understanding the AI Stages of Adoption: A framework for business leaders
The AI Stages of Adoption locate an organisation, function by function, on a five-stage path from Experimenting to Scaling, and show how to move.
The future of AI expertise: Building and managing AI-capable teams
AI's promise of productivity and innovation is delivered by teams, not tools. Building AI-capable teams draws on what the Cloud Centre of Excellence taught me.
Europe's AI challenge: Why culture trumps capital in technology adoption
Europe's lag in AI adoption is not a shortage of capital. Seen from San Francisco, the difference is culture: openness to transformation, not money.
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