Build an AI-native finance function that can govern, automate, and scale by designing the data foundations, controls, audit trails, and human accountability every finance agent needs
Key Features
- Build the data and governance foundations required for finance AI
- Apply agentic AI across FP&A, close, tax, AP/AR, and treasury
- Design human oversight, audit trails, and controls before scaling AI
Book Description
AI can automate finance workflows, but autonomy without strong foundations creates new risks. The Agentic CFO shows finance leaders how to build an AI-native finance function where agents operate within clearly defined data, governance, accountability, and control structures. You'll begin by addressing the problems that undermine finance AI initiatives before they scale: inconsistent data, unclear ownership, poor process documentation, and weak accountability. You'll then design the governance architecture around autonomous agents, including human authority lines, audit trails, escalation paths, and agent ownership. The book applies these principles to the finance workflows where AI can have the greatest impact, including financial close, FP&A, tax, AP/AR automation, treasury, and spend management. You'll see how to determine what agents can handle autonomously, what requires human judgment, and how to make automated decisions auditable. Finally, you'll explore the evolving role of the CFO, build a self-improving finance system, and establish proof before expanding AI across the organization.
What you will learn
- Prepare finance data and processes for agentic AI
- Define human authority before deploying autonomous agents
- Build auditable decision trails for finance AI
- Apply AI agents to close, FP&A, tax, and AP/AR
- Introduce agentic AI into treasury and spend management
- Establish ownership, escalation paths, and governance
- Build finance systems that improve with every cycle
- Prove AI outcomes before scaling across the organization
Who this book is for
This book is for CFOs, controllers, VPs of Finance, FP&A leaders, finance transformation leaders, and senior finance professionals responsible for introducing AI into the finance function. It is particularly relevant to leaders moving beyond AI pilots toward governed, production-ready agentic workflows. No AI development or programming experience is required.
