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Emerging

In this section, explore the frontier of technologies that are set to redefine business in the decade ahead. From embodied AI and neuromorphic computing to quantum-AI hybrids and other horizon innovations, these articles highlight what boards and executives need to watch now to prepare for the future. I share perspectives on how these disruptive capabilities intersect with governance, strategy, and competitive advantage — helping you anticipate shifts before they reshape your industry.

How Agentic AI Turns Your Biggest Tech Problem into Competitive Advantage

Seattle | Published in AI , Board and Emerging | 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 Tiny maintenance drones work systematically between both sides, symbolising how agentic AI transforms outdated infrastructure into modern, future-ready architectures.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 , Board and Emerging | 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: Building Capabilities That Scale With AI Adoption

Washington DC | Published in AI , Board and Emerging | 14 minute read |    
A modern corporate training centre where diverse teams work at stations representing the Five Pillars. Digital displays show capability maturity levels progressing from basic to advanced, with interconnected pathways between stations symbolising integrated capability development. The AI CoE team facilitates from a central hub. (Image generated by ChatGPT 4o).

The fifth article in my AI Centre of Excellence series provides a comprehensive guide to building essential capabilities across the Five Pillars. Moving from governance frameworks to practical implementation, it details how to develop capabilities that match your multi-speed AI reality - from transforming shadow AI into governed innovation, to creating comprehensive literacy programmes. Complete with a 90-day implementation sprint, maturity assessment tools, and practical templates, this article transforms theoretical understanding into actionable capability development.


AI Centre of Excellence: Designing Structure for Multi-Speed Governance

Llantwit Major | Published in AI , Board and Emerging | 12 minute read |    
A modern glass-walled boardroom showing an organisational chart on a large screen. The chart displays a hub-and-spoke AI governance model with a central AI CoE connected to various business units at different stages of AI maturity, represented by different colours and connection strengths. Executives are gathered around the table reviewing the structure. (Image generated by ChatGPT 4o).

In the first three articles of this series, we’ve established why Boards need an AI Centre of Excellence (AI CoE), explored the eighteen essential functions that drive AI success, and used the AI CoE Simulator to reveal the multi-speed reality of AI adoption. Now comes the critical question: how do you structure an AI CoE that can effectively govern this complex, multi-speed landscape?


Implementing Decision Analytics: A Practical Guide for Boards

London | Published in AI , Board and Emerging | 11 minute read |    
A diverse business team collaboratively building an AI decision analytics engine in a modern boardroom, with digital data displays and construction tools on a sleek conference table. (Image generated by ChatGPT-4o).

In my previous article, Transforming the Board: Using Decision Analytics for Strategic Advantage, I introduced the concept of AI-powered decision analytics as a transformative approach to board decision-making. I explored how these capabilities can help directors move beyond traditional backward-looking metrics to embrace predictive indicators that model potential futures and enhance strategic decision-making.