finelybook
The AI-Ready CFO: A Strategic Guide to Evaluating and Implementing AI, Automation, and Analytics
Author(s): Glenn Hopper (Author)
- Publisher Finelybook 出版社: Wiley
- Publication Date 出版日期: October 5, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 320 pages
- ISBN-10: 1394415885
- ISBN-13: 9781394415885
Book Description
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.
Editorial Reviews
About the Author
GLENN HOPPERis the founder of RoboCFO, an AI advisory firm for the office of the CFO. His career sits at the intersection of finance, data, and technology, from early web product work in the dot-com era through more than 20 years in corporate finance, including 15 years as CFO of private equity-backed companies, where he built the analytics and reporting infrastructure long before “AI in finance” was a category. He has delivered keynotes and workshops on AI in finance at more than 50 events worldwide, including CFO Leadership Council, Oracle SuiteWorld, and Harvard’s Digital Data Design Institute. He teaches executive education courses on AI and finance at Duke University’s Fuqua School of Business and is an instructor for the Corporate Finance Institute, AICPA/CIMA, and LinkedIn Learning. Hopper holds a master’s degree in finance with a graduate certificate in business analytics from Harvard University. He is also the author of Deep Finance and AI Mastery for Finance Professionals.
