finelybook
Generative AI for Leaders Playbook: Applied Approach from AI Strategy to Responsible Innovation in the Enterprise
Author(s): Adrián González Sánchez (Author)
- Publisher Finelybook 出版社: Packt Publishing
- Publication Date 出版日期: September 10, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 312 pages
- ISBN-10: 1806388499
- ISBN-13: 9781806388493
Book Description
Lead the AI revolution with confidence. Learn how to craft strategy, build AI teams, and drive innovation responsibly with this practical leadership playbook for the Generative AI era.
Free with your book: DRM-free PDF version + access to Packt’s next-gen Reader*
Key Features
- Build AI fluency and lead digital transformation with confidence
- Design enterprise-wide AI strategy, teams, and governance models
- Unlock growth with responsible and scalable Generative AI adoption
Book Description
Generative AI has shifted from a technical breakthrough to a leadership imperative. This essential guide helps executives, directors, and tech leads navigate the transformation, bridging AI’s technical realities with enterprise applications and providing the frameworks and vocabulary needed to make informed decisions.
Written for strategic leaders and decision-makers, this practical playbook demystifies key concepts, including generative AI, large language models (LLMs), and emerging agentic AI systems. It shows you how to develop AI strategies aligned with business goals, build AI-first organizations, and establish governance frameworks for responsible, compliant adoption. Real-world examples show how leading companies use AI to drive innovation, efficiency, and growth.
Beyond strategy, you’ll learn how to build and scale AI teams, evaluate technology vendors, and integrate AI across business functions. You’ll also explore global policy trends, ethical implications, and the governance frameworks emerging across jurisdictions.
This playbook provides a roadmap for turning AI disruption into sustainable competitive advantage, equipping executives with the strategic understanding and practical guidance needed to lead, implement, and scale AI responsibly.
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What you will learn
- Understand generative and agentic AI capabilities and business value
- Build organizational AI literacy and cultural readiness
- Craft an enterprise AI strategy aligned with business goals
- Design and scale high-performing AI teams and structures
- Evaluate AI platforms and vendors for transparency and reliability
- Embed responsible AI governance and compliance frameworks
Who this book is for
This book is for AI professionals, AI business leaders, founders, and senior managers who need to navigate the strategic, operational, and ethical challenges of AI adoption. It’s also invaluable for consultants, policy leaders, and transformation specialists advising enterprises on AI readiness. No coding knowledge is required—only a vision to lead AI-powered change across industries.
Table of Contents
- Embracing Top-Down AI Approaches: The Leadership Imperative
- From Turing to ChatGPT: A Brief History and Context of AI
- Exploring Key AI Terminology and Concepts
- Understanding the New Era: Generative AI and Agentic AI
- Crafting an AI Strategy: From Vision to Execution
- AI-First Approaches: New Business Models and Products
- Building and Scaling AI Teams: Roles, Reskilling, and Hiring
- Navigating the AI Ecosystem: Tools and Vendor Evaluation
- Responsible AI Implementation: Ethics, Governance, and Accountability
Editorial Reviews
Editorial Reviews
About the Author
Adrián González Sánchez is a Technical Product Manager at Microsoft AI and Academic Director of two master’s programs at IE University, where he teaches and helps shape future AI and technology leaders. With 15+ years of international experience in engineering, product management, AI, cloud computing, and executive education, he has worked with organizations across the private and public sectors. He is the author of books published by O’Reilly, Packt, ANAYA, and Marcombo, has created courses for LinkedIn Learning, The Linux Foundation, and DeepLearning.AI, and contributes to AI governance and public policy initiatives, including Spain’s EU AI Act Regulatory Sandbox.
