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Tagged with: #transformation

Posts tagged with #transformation show how to reshape your organisation through implementation approaches that address both technical requirements and cultural readiness for change.

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 Tiny maintenance drones work systematically between both sides, symbolising how agentic AI transforms outdated infrastructure into modern, future-ready architectures.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.


AI Centre of Excellence: Your First 90 Days With Well-Advised Value Focus

Washington DC | Published in AI and Board | 15 minute read |    
A dynamic command centre where AI CoE teams coordinate their first 90 days. Multiple screens display pilot portfolios, value metrics across Well-Advised dimensions, and capability progress indicators. Teams work at different stations whilst a central dashboard shows the journey from quick wins to strategic initiatives. (Image generated by ChatGPT 4o).

This sixth article in my AI Centre of Excellence (AI CoE) series transforms theory into practice with a comprehensive 90-day implementation roadmap. Moving from capability building to value delivery, it introduces the AI Initiative Rubric - a systematic pilot selection tool that ensures your first initiatives deliver Well-Advised value whilst strengthening Five Pillars capabilities. Complete with sprint portfolios, stakeholder engagement strategies, and common pitfall avoidance, this article provides the practical guidance needed to demonstrate tangible AI CoE value from day one.


AI Centre of Excellence: Building Capabilities That Scale With AI Adoption

Washington DC | Published in AI and Board | 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.


The future of AI expertise: Building and managing AI-capable teams

Limassol | Published in AI , Board and Cloud | 7 minute read |    
Futuristic business setting with diverse professionals collaborating in a sleek office, featuring holographic AI systems, data visualizations, and interconnected networks, symbolizing AI's transformative role in modern organizations (Image generated by ChatGPT 4o)

As organisations adopt artificial intelligence (AI) more widely, a critical challenge emerges: how do you build and manage teams capable of delivering on AI’s promise of increased productivity, enhanced customer experiences, accelerated innovation, and sustainable competitive advantage?


Unlocking your data with AI: Insights from Monday.com Elevate

London | Published in AI , Board and Data | 10 minute read |    
Mario Thomas on stage at Monday.com Elevate at ExCel London with a list of AI use cases on screen.

Last week, I had the privilege of delivering a keynote presentation at Monday.com’s Elevate conference in London. The topic, “Leveraging data and artificial intelligence (AI) for organisational transformation,” allowed me to challenge some common misconceptions about AI adoption and share practical insights on harnessing the power of existing data. In this post, I outline the key themes discussed and provide some additional context.


Introducing the AI Stages of Adoption: A framework for understanding AI readiness in your business

London | Published in AI , Board and Data | 15 minute read |     

Earlier this week, I got the opportunity to speak at our Amazon Web Services (AWS) office in London, to an audience of Private Equity firms and their portfolio company executives about driving value creation through AI and data. The presentation focused on how Private Equity firms and their portfolio companies can drive value creation through AI and data. I also took the opportunity to introduce a new concept called the AI Stages of Adoption (AISA), which is designed to help organisations assess their maturity and readiness for AI adoption.


Dawn of the three-hour work week: AI's impact on employment and compensation

Vienna | Published in AI and Board | 10 minute read |    
A futuristic office seamlessly blended with a beach setting. It shows humans relaxing and working alongside AI robots, reflecting a balanced lifestyle where work and leisure coexist harmoniously (Image generated by ChatGPT 4o).

As artificial intelligence (AI) advances into the workplace rapidly, one of the most pressing questions on everyone’s mind is, “If machines can do our jobs faster, more accurately, and at a lower cost, what happens to us?” It’s true that AI is beginning to redefine the very essence of work, raising concerns about the potential displacement of knowledge workers. However, I’d like to propose an alternative perspective—one where those same workers earn the same or more whilst working far fewer hours.


Harnessing AI for organisational change led from the Board

London | Published in AI and Board | 5 minute read |    
Mario Thomas and Kenneth Benoit standing in front of a display screen at the London School of Economics

I had an incredible afternoon as a guest lecturer at the The London School of Economics and Political Science (LSE) where I got to discuss harnessing AI for organisational transformation led from the Board, at this summer’s Data Science for Executives class.