Navigating AI Transformation
Business Innovation, Strategy, and Risk
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Beschreibung
Artificial intelligence is no longer a standalone technology. It is reshaping how organizations operate, compete, and create value. Yet most firms remain stuck at early stages of adoption, focusing on isolated use cases rather than true transformation.
This book provides a structured, actionable framework to help leaders move beyond experimentation toward enterprise-wide impact. Built around a four-level model consisting of Automation, Personalization, Operational Innovation, and Business Model Innovation, the book offers a clear roadmap for how AI can drive measurable value across different stages of organizational maturity.
Drawing on real-world cases across industries, each chapter demonstrates how leading organizations are applying AI in practice, from improving efficiency and customer experience to redesigning core operations and creating entirely new business models. These examples are grounded in concrete outcomes, enabling readers to understand not only what works, but why.
A defining feature of the book is its integrated approach to risk and governance. Each case is accompanied by a structured analysis combining PwC’s auditing risk framework (financial, operational, and reputational risks) with legal and regulatory perspectives. This dual lens equips decision-makers to scale AI responsibly while navigating increasing scrutiny around compliance, accountability, and trust.
Designed for business leaders, AI strategists, and legal professionals, this book bridges the gap between technical possibility and organizational reality. It provides practical tools, strategic insights, and a disciplined framework to help organizations capture the value of AI, while managing its risks.
Artificial intelligence is no longer a standalone technology. It is reshaping how organizations operate, compete, and create value. Yet most firms remain stuck at early stages of adoption, focusing on isolated use cases rather than true transformation.
This book provides a structured, actionable framework to help leaders move beyond experimentation toward enterprise-wide impact. Built around a four-level model consisting of Automation, Personalization, Operational Innovation, and Business Model Innovation, the book offers a clear roadmap for how AI can drive measurable value across different stages of organizational maturity.
Drawing on real-world cases across industries, each chapter demonstrates how leading organizations are applying AI in practice, from improving efficiency and customer experience to redesigning core operations and creating entirely new business models. These examples are grounded in concrete outcomes, enabling readers to understand not only what works, but why.
A defining feature of the book is its integrated approach to risk and governance. Each case is accompanied by a structured analysis combining PwC’s auditing risk framework (financial, operational, and reputational risks) with legal and regulatory perspectives. This dual lens equips decision-makers to scale AI responsibly while navigating increasing scrutiny around compliance, accountability, and trust.
Designed for business leaders, AI strategists, and legal professionals, this book bridges the gap between technical possibility and organizational reality. It provides practical tools, strategic insights, and a disciplined framework to help organizations capture the value of AI, while managing its risks.
Introduces a four-level AI transformation framework that exceeds automation and personalization Presents dual-perspective risk assessment methodology, combining PwC's auditing framework with legal compliance analysis Contains numerous industry-specific case studies, with each chapter offering a step-by-step roadmap
Autor*in
Kejia Hu
Themen in »Navigating AI Transformation«
AI Transformation Strategy AI-Enabled Business Innovation AI-Driven Operational Excellence Business Model Reinvention with AI AI Risk and Regulatory Compliance Law and Legal Studies Enterprise AI Governance Framework Industry-Specific AI Case Studies AI Adoption & Competitive Advantage AI Legal and Ethical Considerations AI Strategy for Executives & Policymakers