Buch, Englisch, 304 Seiten
A Strategic Guide to Evaluating and Implementing AI, Automation, and Analytics
Buch, Englisch, 304 Seiten
ISBN: 978-1-394-41588-5
Verlag: John Wiley & Sons Inc
The AI-Ready CFO directly addresses the challenges of AI-driven transformation, offering finance leaders a clear framework for making informed technology decisions, smoothly integrating AI into existing processes, and successfully leading transformation. Drawing upon the author’s extensive experience as a CFO and advisor in finance innovation, the book prioritizes real-world implementation and provides specific, actionable guidance. Readers will gain a practical understanding of AI technology, including its strengths and limitations, enabling them to confidently evaluate AI platforms, effectively negotiate with vendors, and ensure successful deployments. Additionally, the book tackles crucial leadership issues, including reorganizing finance teams, establishing effective data governance, managing risk and compliance, and navigating the complexities of organizational change.
With relatable case studies from real-world implementations, The AI-Ready CFO answers the practical questions CFOs face every day:
- How do I choose the right AI vendors and technologies?
- What is the best way to integrate generative AI into our financial workflows?
- How should I structure, train, and prepare my finance team for these changes?
- What governance frameworks, internal controls, and compliance considerations do I need to manage?
The AI-Ready CFO equips finance leaders to confidently navigate AI adoption, bridging the crucial gap between technological promise and practical, real-world execution in finance.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Contents
Foreword
Acknowledgments
About the Author
Introduction – The CFO’s Transition From Scorekeeper to Strategic Leader
Chapter 1 – The CFO’s New Mandate: Leading AI and Automation
Chapter 2 – What CFOs Need to Know About AI and Generative Tools
Chapter 3 – Modeling ROI: Payback, IRR, and Strategic Value
Chapter 4 – Building the Business Case: Modeling AI ROI as a Portfolio
Chapter 5 – Prioritizing Use Cases and Identifying Quick Wins
Chapter 6 – The Landscape of AI Tools for the CFO’s Team
Chapter 7 – AI Partnerships and Platform Strategy: The Build-Buy-Hybrid Decision
Chapter 8 – Governance, Risk, and Finance-Control Alignment
Chapter 9 – Realistic Timelines: 90-Day Wins to 2-Year Scaling
Chapter 10 – Redesigning Finance Workflows for AI
Chapter 11 – Leading, Organizing, and Upskilling the AI-Ready Finance Team
Chapter 12 – The Future of Finance and the Impact of AI
Notes
Glossary
Bibliography or References
Index
