This book explores how AI is currently transforming work processes, decision-making, and organizational dynamics with a collection of unique, detailed, and meticulously analysed case studies of AI adoption. Each chapter covers a different core business function and is structured around an original research study conducted by the authors at one of several major international firms, including Generali, Ericsson, Volvo and more.

The casebook provides direct exposure to how leading global companies are deploying AI in practice, offering a concrete, current, and exclusive picture that purely theoretical textbooks cannot provide. The discussion questions at the end of each chapter support active learning, critical thinking, and classroom debate. Intended for whole-book adoption or selective, modular use of the cases, and incorporating instructor materials, this essential teaching resource will be suitable for courses on digital transformation, supply chain management, operations management, AI in business, and management information systems.

Annika Engström is a Professor of Work Organisation at the School of Engineering, Jönköping University, Sweden. Her research focuses on organisational learning, change leadership, and the human and organisational dimension of digital transformation and artificial intelligence in work. She has conducted extensive collaborative research with industry across sectors, with a particular emphasis on change processes, organisational development, and innovation capabilities. She currently leads an interdisciplinary research group on leading and organising for AI integration, in close collaboration with industrial companies.

Daniel Pittino is Full Professor of Business Administration at Jönköping International Business School, Sweden, and also holds a permanent affiliation with the University of Udine, Italy. Over the past two decades, he has developed a strong research profile at the intersection of organization theory, corporate governance, and technology adoption. Since 2020, he has been part of research initiatives on AI transformation in industrial firms, which provide solid foundation for the empirical insight in this book.

Marco Sartor is Full Professor at the University of Udine, Italy, where he serves as Rector’s Delegate and Director of the Executive MBA Program. He is Visiting Professor at Jönköping University, Sweden, Adjunct Professor at the Free University of Bolzano, Italy, and Vice President of the Decision Sciences Institute, USA. His research focuses on international sourcing and production, quality management, and reshoring. He has held visiting or honorary research positions at universities in the UK and the United States and has received multiple international research awards.

Maria Riveiro is a Professor of Computer Science at Jönköping University, Sweden, where she leads the Human-Centered Technology Group. Her research focuses on human-centered and explainable AI, and visual analytics. She has conducted extensive research in collaboration with industry across various sectors, including defense and military, manufacturing, healthcare, and automotive. She is the recipient of both a starting and a consolidator grant from the Swedish Research Council to advance methods for tailoring and evaluating AI explanations.

Nina Edh is Assistant Professor in Production Systems at Jönköping University, Sweden, Department of Supply Chain and Operations Management, where she also serves as Programme Director for the MSc in Supply Chain Operations Management. Her research focuses on AI integration in industry and its implications for organisational structures, roles, knowledge, and change. She has served on the boards of the European Operations Management Association (EurOMA), the Research and Research Education Board at Jönköping University, and the board of the Swedish Logistics Association PLAN.