#ai-adoption
Moving from pilots to production, and what each stage actually demands.
Tagged articles (26)
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.
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.
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: Mapping Your Multi-Speed AI Reality
Before governing AI, know where the organisation actually is. Mapping the multi-speed reality function by function replaces maturity claims with evidence.
AI Centre of Excellence: Moving Beyond Shadow AI Risk to Scaled AI Adoption
AI makes millions of decisions at speeds traditional oversight cannot match, and shadow AI adds unmanaged risk: the case for an AI Centre of Excellence.
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.
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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