A designer AI application by a leading technology firm streamlines the design process, enabling teams to quickly generate diverse and creative patterns. It considers trends, colour palettes, best-selling designs and inspirational sources to help designers craft new patterns with ease. By analysing historical sales data and customer feedback, it tailors new collections to a brand’s unique selling point and target audience, ensuring a balanced mix of commercial, classic and trendy pieces. With features like multi-reference style transfer and limitless design variations, the application empowers design teams to create visually striking collections adaptable to any industry, which have a direct impact on sales and revenue.CASE STUDY 3 AI driving revenue generation Customers embrace AI for more personalized, efficient experiences. AI has shifted from being a unique differentiator to a fundamental requirement for companies aiming to stay competitive. Tools and features like chatbots, virtual assistants and personalized recommendations are now commonplace, enhancing the shopping experience. For example, over 70% of customers feel AI improves shopping by saving time and offering personalized interactions, with 65% believing AI understands their habits as well as, or better than, their close friends and family. More than 50% are interested in AI-guided experiences across various platforms.11 This shift in customer expectations has elevated AI from a value-add to a critical capability for all businesses. CASE STUDY 4 Virtual assistants The London Stock Exchange Group uses its AI- powered Question and Answer Service (QAS) to help customer service teams deliver faster, more consistent answers to common client queries. Drawing on multiple algorithms to identify commonalities in client questions and requests, QAS effectively addresses thousands of inquiries daily while reducing resolution time by 50%.12 Swedish video game developer Mojang Studios uses AI to enhance player personalization and optimize content recommendations in its Minecraft Marketplace. Integrating a data intelligence platform with AI services allows Mojang Studios to monitor player sentiment on social media, enabling real-time, automated feedback. This setup processes data 66% faster than previously possible – thereby allowing Mojang to better tailor experiences for millions of Minecraft enthusiasts.13CASE STUDY 5 Enhancing customer experience Technological advances are enabling organizations to address increasingly complex challenges at unprecedented speeds. Developments like convolutional and recurrent neural networks are central to modern AI systems, supported by semiconductor advancements and cloud computing. Quantum computing, though nascent, promises to boost AI capabilities significantly, potentially revolutionizing optimization and simulation.14 This adaptability has made AI a tool for innovation across industries, with companies investing in AI infrastructure, and research and development (R&D). Examples of this can be seen across industries, such as financial services using AI for fraud detection and customer service enhancement and the media industry applying it to product innovation and content creation. The potential of AI to transform industries is widely recognized, with early use cases demonstrating its promise. However, concerns persist about companies’ ability to scale AI in a way that drives true transformation, especially given challenges such as accuracy, intellectual property protection and workforce impact. Balancing these ambitions with a realistic view of AI’s limitations and risks will be essential as organizations navigate the complexities of integration, responsible use and tangible value creation. The shift in customer expectations has elevated AI from a value-add to a critical capability for all businesses. AI Governance Alliance: Transformation of Industries in the Age of AI 8

AI in Action Beyond Experimentation to Transform Industry 2025