Released in 2025, this book brings together leading perspectives on the barriers, opportunities, and emerging practices shaping Enterprise AI. It explores state-of-the-art approaches that enable organisations to adopt AI more effectively and at scale, while addressing the technical, organisational, and socio-technical challenges inherent in enterprise contexts.

Designed as a comprehensive and authoritative reference, the book provides students, researchers, and practitioners with a single, integrated resource that spans the full lifecycle of Enterprise AI projects—bringing together both the problems and the solutions in one place.

Edited by Professor Shazia Sadiq FTSE at The University of Queensland, the book features contributions from several members of the Australian Research Alliance for Enterprise AI, alongside leading international scholars and practitioners.

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Structure and Themes

Expert contributions spanning multiple socio-technical disciplines are organised into three complementary parts:

Part I: Scalable and Sustainable Practices for Enterprise AI

This section examines emerging strategies that enable organisations to scale AI systems sustainably—maximising performance while minimising resource consumption. It offers in-depth exploration of three complementary approaches that address scalability from different perspectives: data distillation, federated learning, and resource‑efficient deployment.

Part II: Safe and Responsible Enterprise AI

Focusing on the critical dimensions of AI safety in enterprise settings, this section provides a practical and principled foundation for responsible AI implementation. Across four chapters, it addresses key issues including data quality, privacy, explainability, and human–AI collaboration, laying the groundwork for AI systems that are transparent, trustworthy, and aligned with organisational and societal values.

Part III: Value Creation with Enterprise AI

The final section presents a multidimensional view of how enterprises can create value with AI—balancing innovation with responsibility, and efficiency with trust. The four chapters offer a roadmap for using AI not merely as a tool for automation, but as a catalyst for meaningful, sustainable organisational transformation.