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Tagged with: #ai-scaling

Posts tagged with #ai-scaling provide frameworks for extending your AI advantage beyond organisational boundaries to create transformative value across your business ecosystem.

How Agentic AI Turns Your Biggest Tech Problem into Competitive Advantage

Seattle | Published in AI and Board | 11 minute read |    
A dramatic split-screen view of a giant clock mechanism being transformed by autonomous drones. The left side shows rusted, tangled gears and chains representing legacy technical debt, while the right side displays the same clock transformed into a gleaming holographic interface with digital displays and flowing data streams. Tiny maintenance drones work systematically between both sides, symbolising how agentic AI transforms outdated infrastructure into modern, future-ready architectures. (Image generated by ChatGPT 4o).

In the race to deploy agentic AI, organisations face a fundamental paradox: they’re building tomorrow’s autonomous systems on yesterday’s infrastructure. Drawing from the cloud transformation journey, this article explores how the same legacy architectures that constrain agentic AI also present an unprecedented opportunity. By retiring technical debt, organisations can clear the path for technological change that will define the next era of business competition. For Boards, the choice is clear: deploy agents within existing constraints, or use them to architect the foundation for future competitive advantage.


AI Centre of Excellence: Future-proofing Through Continuous Evolution

London | Published in AI and Board | 12 minute read |    
A futuristic AI control centre at sunset where interconnected data networks visualise the evolution from pilot projects to enterprise-scale transformation. Expanding luminous nodes and holographic displays illustrate emerging technologies such as multi-agent systems, quantum-AI hybrids, and federated networks, symbolising adaptive governance and continuous evolution within the AI Centre of Excellence. (Image generated by ChatGPT 4o).

You’ve built your AI Centre of Excellence. It’s governing multi-speed adoption, delivering value, and - as we explored in the previous article - scaling beyond pilots to enterprise transformation. But here’s the uncomfortable truth: the AI landscape will look radically different in eighteen months. Multi-agent systems, decentralised agent ecosystems, embodied AI, neurosymbolic reasoning, quantum-AI hybrids, cross-modal intelligence, federated AI networks, and artificial superintelligence will challenge every governance framework you’ve carefully constructed. Having achieved scale, this final article tackles the strategic imperative of continuous evolution: how to future-proof your AI CoE to govern these disruptive technologies whilst building the adaptive capacity to thrive on change rather than being disrupted by it.


AI Centre of Excellence: Scaling Beyond Pilots to Enterprise Transformation

Llantwit Major | Published in AI and Board | 12 minute read |    
An expansive control centre where AI initiatives scale from single monitors to vast digital landscapes. Teams work on interconnected platforms whilst governance frameworks adapt dynamically. The transition from pilot projects to enterprise transformation is visualised through expanding networks of light. (Image generated by ChatGPT 4o).

The successful completion of your AI Centre of Excellence’s first 90 days marks an important milestone, but it also brings into sharp focus the next critical challenge. Whilst the AI Initiative Rubric has proven effective for pilot selection and early wins have demonstrated value, the transition from isolated successes to enterprise-wide transformation requires fundamentally different approaches. This progression from pilot to scale represents one of the most significant hurdles in AI adoption, demanding new structures, governance models, and ways of thinking that go well beyond what initial success required.


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 and Board | 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.