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Tagged with: #ai-strategy

Posts tagged with #ai-strategy align your AI initiatives with strategic business objectives through frameworks that enable both immediate gains and sustained competitive advantage.

Transforming the Board: Using Decision Analytics for Strategic Advantage

Seattle | Published in AI and Board | 13 minute read |    
A contemporary boardroom scene with executives thoughtfully engaging with futuristic holographic visuals above a polished table, displaying graphical analytics and predictive indicators, symbolising the strategic shift toward decision analytics and AI-driven insights. (Image generated by ChatGPT-4o).

In my article The Board in the machine, I argued that “Boards will find that there are no barriers to making the right decisions at the speed of light”. More recently, in AI is transforming governance: Six key Boardroom priorities, I observed that boards “are moving from overseeing hundreds of decisions made per day to millions made per second”. This acceleration of business decision velocity presents both an unprecedented challenge and opportunity for Directors and the Boards they serve.

From Shadow AI to Strategic Asset: Building Your AI Centre of Excellence

London | Published in AI and Board | 16 minute read |    
The image shows a modern business setting where AI is seamlessly integrated into operations, enhancing productivity while being governed by ethical guidelines. Executives collaborate with a digital assistant, with subtle guardrails symbolizing responsible AI use in a professional and balanced environment. (Image generated by ChatGPT 4o)

In my previous articles about the AI Stages of Adoption and the Five Pillars of AI maturity and capability, I briefly touched on the role of the AI Centre of Excellence (AI CoE). Since publishing those pieces, I’ve spoken with numerous Boards and business leaders about AI adoption and the importance of board-level AI governance. A recurring question emerges in almost every conversation: “What are the practical steps to establishing an AI CoE in our business?”

Increasing AI Maturity: Navigating the AI Stages of Adoption with the Five Pillars

Llantwit Major | Published in AI and Board | 9 minute read |    
A futuristic digital painting depicting the increasing maturity of AI. A glowing blue bridge symbolises progress, supported by five distinct pillars representing different stages of AI development. The left side of the image is darker, illustrating early AI with basic automation, while the right side transitions into an advanced AI-powered city, illuminated with intricate blue light networks, symbolising intelligence and connectivity (Image generated by ChatGPT 4o).

In my previous article on the AI Stages of Adoption (AISA), I outlined how organisations progress through their AI journey—from Experimenting to Adopting, Optimising, Transforming, and ultimately Scaling. Since publishing that piece, many readers have asked the same follow‐up question: “How do we know when we’re truly ready to move from one stage to the next?”

Understanding the AI Stages of Adoption: A framework for business leaders

Llantwit Major | Published in AI | 16 minute read |    
The Artificial Intelligence Stages of Adoption (AISA).

In June of 2024, I introduced the concept of the AI Stages of Adoption (AISA), a framework for understanding where organisations are in their AI journey. Since then, I’ve had countless conversations with business leaders about how this framework helps them navigate their transformation. Today, I want to share a deeper perspective on AISA and how you can use it to accelerate your organisation’s AI adoption.