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Tagged with: #business-transformation

Posts tagged with #business-transformation show how to move from incremental improvements to fundamental business reinvention through strategic AI implementation and cultural transformation.

Rethinking Business Cases in the Age of AI: What Boards Need to Know

London | Published in AI and Board | 11 minute read |    
A group of business professionals in a futuristic Boardroom analyse AI investment data, with glowing holographic charts, ROI metrics, dollar signs, and an upward-trending arrow pointing toward a central “AI” node, symbolising growth and financial impact in the age of artificial intelligence. (Image generated by AI).

In today’s AI-driven landscape, traditional business case methods fall short when evaluating AI investments. Drawing from my experience developing AWS’s cloud business case tools, I explore why conventional ROI models struggle with AI’s parallel, multi-speed adoption patterns. Unlike cloud’s sequential journey, AI initiatives exist simultaneously across different maturity stages, creating valuation challenges that standard metrics can’t capture. Boards need new evaluation approaches that account for AI’s diverse cost structures, varying timelines for returns, and how investments in one area often enable value in entirely different parts of the business.


Upskilling for the AI Era: Building a Future-Ready Workforce

London | Published in AI and Board | 15 minute read |    
A conceptual digital illustration showing a workforce transitioning from traditional learning to AI-driven training — with one side depicting analog tools and classroom settings, and the other featuring holographic interfaces and futuristic technology. (Image generated by AI)

As I discussed in my article on building and managing AI-capable teams, organisations face a critical challenge in acquiring the right talent for AI transformation. This reminds me of the early days of cloud adoption, when I advised enterprises on their migration strategies. Back then, I witnessed the same scramble for scarce talent, which led me to advocate strongly for upskilling existing teams rather than relying solely on external hiring.


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.


Beyond the hype: Unlocking the true potential of AI in business

Washington D.C. | Published in AI and Board | 10 minute read |    
Modern office with AI technologies: holographic charts, chatbots, neural networks, robots, cameras, digital brains, pricing models, and digital art tools. Diverse professionals collaborate in a high-tech, futuristic setting (Image generated by ChatGPT 4o).

In the wake of the meteoric rise of generative AI, it’s easy to get swept up in the hype and believe that this single branch of artificial intelligence (AI) is the whole story. Platforms like ChatGPT have undeniably captured the public imagination, marking the first mass consumerisation of AI technology. However, focusing solely on generative AI risks overshadowing the diverse and equally transformative types of AI that have been quietly but powerfully driving business innovation.


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.


The Executive's Guide to the Digital Workplace

London | Published in Board and Cloud | 10 minute read |     
The Executive's Guide to the Digital Workplace by Amazon Web Services

I recently contributed to the AWS Executive’s Guide to the Digital Workplace, exploring how organisations can successfully navigate digital transformation and build robust cloud-based infrastructures. Here are the key insights leaders need to consider when driving workplace digitalisation.


Driving organisational transformation in a downturn

Llantwit Major | Published in Board and Cloud | 10 minute read |    
Abstract image depicting innovation and growth during an economic downturn, featuring vibrant colours and geometric shapes with upward arrows and graphs, conveying a sense of optimism and forward momentum. (Image generated by ChatCPG 4o)

In my article about not taking your foot off the gas, published just as the world returned to some degree of normality in July 2021, I discussed that the pandemic was the forcing function that challenged businesses to adapt and engage in broad organisational transformation using the cloud, and that it should not be seen as a reason to slow down.


Why now is not the time to take your foot off the gas

Llantwit Major | Published in Board and Cloud | 10 minute read |    
Dynamic image representing acceleration and continuous innovation during the pandemic, featuring a sleek, modern road with motion blur effects to convey speed and forward movement. Subtle elements like arrows, data streams, and hints of missing or fragmented maps and signs indicating 'unknown' or 'no plan' emphasise the theme of navigating without a clear map or plan. (Image generated by ChatGPT 4o)

For many Boards, the pandemic has catalysed broad business change by accelerating digital transformation initiatives. The availability of cloud computing has democratised access to technology, and businesses of all shapes and sizes have seized on this opportunity to: increase revenue, margin, and profit; enter new markets and launch new products and services; delight, excite and get closer to their customers; and become more operationally efficient, increasing productivity, cutting waste, and reducing costs.