Business transformation in the age of AI

Abstract digital technology background with glowing lines and particles.

Article | 2025-6-26

15 minute read

The potential impact of Artificial Intelligence is frequently compared to that of the Industrial Revolution, such is the excitement over how it will change the way businesses operate. The technology is undeniably impressive - perhaps more so than anything we've encountered before. It is tempting to make sweeping predictions about a future that feels almost unrecognizable. And it’s easy to get lost in the hype.

But what will the new business architecture of the AI era actually look like? How will it differ from what we are familiar with today? How can businesses make the right choices? With such a fast-moving pace of innovation, and – to date – a somewhat illusive path to significant financial impact, where should a business place its bets, and how will it avoid the inevitable risks?

1. Unpacking the age of AI

Let’s start by understanding what’s changing. One way of framing AI is that it is the next paradigm shift in business operations, following others that have come before. These shifts transformed the way that businesses worked, whether that was in how globalization changed the way back-office functions were delivered, to how digital transformation changed organizations’ engagement with customers and markets.

Evolution of Business Paradigms: A comparative table outlining the impact of Globalization (1990s-2000s), Digital Transformation (2000s-2010s), and AI Paradigm (2020s+) on various business dimensions. Dimensions include Focus, Changes, Jobs, Costs, Market, Human Role, and Enabling Technology. The table highlights the shift from back-office cost transformation in globalisation to intelligent automation in the AI paradigm, emphasizing the increasing importance of technology and data.

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2. LLMs in context: A component of the bigger picture

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3. GK Software: A case study in next generation transformation

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4. Making the right decisions

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5. Advice for leaders

The actions a leader should take of course depend on the starting point and maturity of the company’s transformation journey.  Let's conclude with  some steps we have seen the most successful companies  take on their AI-powered transformation:

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