#operating-ai
Running AI in production: the function, the cadence, the day job.
Tagged articles (15)
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.
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.
AI Centre of Excellence: Future-proofing Through Continuous Evolution
The AI landscape moves faster than any governance framework. An AI Centre of Excellence stays relevant only if continuous evolution is designed in.
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.
AI Centre of Excellence: Your First 90 Days With Well-Advised Value Focus
The first 90 days of an AI Centre of Excellence should deliver value, not just capability: a sprint portfolio selected with the AI Initiative Rubric.
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.
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: The Essential Functions of the Five Pillars
An AI Centre of Excellence earns its mandate through eighteen essential functions across the Five Pillars. Without them, governance is a name on a chart.
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.
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.
From Shadow AI to Strategic Asset: Building Your AI Centre of Excellence
Shadow AI is already inside the organisation. A structured AI Centre of Excellence turns it from unmanaged risk into a strategic asset Boards can govern.
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