#ai-implementation
Getting AI into production, and what that actually takes.
Tagged articles (7)
The Verification Premium: What Classical Training Reveals About AI Coding Costs
AI coding tools amplify the expertise gap rather than closing it: senior developers capture twice the gains. The verification premium is the cost nobody budgets.
Completing the AI Strategy Journey: From Policy to Practice Through Coherent Actions
69% of Boards discuss AI regularly; 33% feel equipped to oversee it. Closing the execution gap means policy becoming actions that compound rather than fragment.
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: 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.
Implementing Decision Analytics: A Practical Guide for Boards
Decision analytics at Board level works when staged: a parallel input before a replacement, human judgement in the loop while the record builds.
AI is transforming governance: Six key Boardroom priorities
AI takes Boards from overseeing hundreds of decisions a day to millions a second, each needing to be transparent, explainable and correct: six priorities follow.
Demystifying AI: My Chief Wine Officer Talk
Generative AI is not its viral examples but a tool for organisational change once the hype is stripped away: my Chief Wine Officer talk.
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