Success story #1 Real-world AI implementa�on: A masked interview with a large enterprise Drilling down to what customers want and need AI capabili�es enable large mining company to experience greater revenue from subscrip�on services, improve forecast accuracy through a 20% reduc�on in error rates, and gain greater customer sa�sfac�on Country: Sweden Type of company: Mining machines manufacturer Role: Head of AI & Automa�on Revenue: USD $10 billion to less than $20 billion Overview This Swedish firm has seen significant benefits from AI, including predic�ve and genera�ve AI. It regards AI in a kind of “opportunity radar” with four quadrants. In the first quadrant, AI is part of the products and services the company buys (for example, GitHub, Microso� Copilot, other off-the-shelf offerings). More and more of these in the future will be infused with AI. Its second quadrant is customer experience, which is more likely to include genera�ve AI solu�ons. The third quadrant focuses on internal efficiencies, like the supply chain, using AI for quality inspec�on, demand forecas�ng, and so on. The fourth quadrant is the compe��ve differen�ator: pu�ng AI into the products. The company has more than 1,200 mining machines that Last year, a�er ChatGPT came in, people were head over heels. They said, 'Oh, what can we do around AI?' And I'm like, come on, let's start with the ‘business why.’ If we do anything, it's always like, 'Why am I doing this? What business problem am I trying to solve? What is my top business challenge? What am I trying to do here?' So you start always with design thinking and all of that. Of course, you need an ecosystem of all the technologies and pla�orms available at your disposal to resolve those business challenges. But it's not the other way around that you have targets around AI that, 'I want to do ten use cases.' It doesn't help, right?... [We should] focus more on the game-changing AI where you talk about innova�on. ‘Do you know how you differen�ate [us] from the compe��on?’ That's where we want to invest. are connected to AI and use it for predic�ve and prescrip�ve maintenance. This allows the company to proac�vely provide a solu�on before the machines fail and helps protect workers deep in the mines. When they sell their machines to mining companies, their predic�ve maintenance op�ons is one of the strongest use cases for AI—but, as this execu�ve indicated, there are many more benefits. For example, with AI-enhanced demand forecas�ng, they’ve seen a 20% improvement in error rates. They’ve also found higher revenue and sales by moving from selling products to offering AI-driven product-service bundles, which reduces down�me and offers cost-saving benefits for customers. TCS AI for Business Study Key Findings Report 08