AI in Finance,
Written for Practitioners
Three books spanning the full arc of the AI-in-finance revolution, from foundational concepts to hands-on implementation to C-suite strategy, with a fourth on building AI agents for finance on the way.
The AI-Ready CFO
A Strategic Guide to Evaluating and Implementing AI, Automation, and Analytics
Finance leaders are under pressure from every direction. Boards want an AI strategy. Teams are already using tools in the shadows. Audit and compliance stakes have never been higher, and the talent pipeline keeps thinning. Yet most enterprise AI projects still fail, and they fail for reasons that have nothing to do with the technology.
The AI-Ready CFO is the first comprehensive playbook written specifically for finance leaders who need to move from cautious experimentation to disciplined, scalable AI adoption. Drawing on real implementations at organizations like eBay, JPMorgan Chase, Microsoft, and Wells Fargo, Glenn Hopper delivers a practitioner’s guide forged in the operational reality of legacy systems, messy data, and unforgiving regulatory frameworks. This is the book for CFOs who need to translate technical hype into P&L impact without sacrificing a single line of internal control.
What's Inside
- A 90-day execution model that takes AI initiatives from pilot to production without stalling in committee
- ROI that goes beyond headcount cuts, with frameworks for measuring accuracy gains, cycle-time compression, and audit-risk reduction
- Governance built for finance, covering model validation, explainability, and compliance guardrails designed around SOX, GAAP, and IFRS
- A function-by-function tool map spanning FP&A, treasury, tax, internal audit, and controllership
- The case for CFO leadership, explaining why the finance function is the natural center of gravity for enterprise AI and how to claim that role
Read the book overview and endorsements
Get book updates and excerpts
Follow Deep Finance Dispatch for book updates and excerpts.
Building AI Agents for Finance
Building, Governing, and Managing Agentic Systems for Finance
ISBN 9781808724596
A hands-on, code-first guide to designing, building, evaluating, and governing AI agents for finance work: tool use, data access, controls and audit records, and complete builds such as a 13-week cash forecast agent, in Python with the Claude Agent SDK and MCP, with runnable companion code, synthetic data, and evaluations.
Where the first three books cover strategy, adoption, and leadership, this one is written at the keyboard: the reader runs, reads, modifies, and verifies working agents before building their own.
Previous books
The foundation that the consulting practice was built on. Each book tackles a different layer of the finance-meets-technology stack.
AI Mastery for Finance Professionals
Foundations, Techniques, and Applications
The comprehensive guide to the AI revolution reshaping finance. Covers machine learning, deep learning, and cutting-edge AI techniques tailored for finance professionals. Deep dives into real-world applications across trading, risk management, fraud detection, compliance, and more.
Foreword by Brian Chess, SVP Technology & AI, Oracle NetSuite
Deep Finance
Corporate Finance in the Information Age
The book that started it all. An Amazon best-seller exploring how technology is fundamentally reshaping corporate finance. Bridges the gap between traditional financial processes and the data-driven, automated future that every finance team is moving toward.
“Every course I've taught starts the same way: a room full of finance professionals who are analytically rigorous, deeply experienced, and genuinely uncertain about where to start with AI. These books are the curriculum I kept wishing existed. Deep Financemapped the transformation. AI Mastery handed practitioners the tools. The AI-Ready CFO is the strategic brief I would have wanted when I was sitting in the CFO seat.”
Bulk orders and speaking engagements
Training your finance team on AI? Pair a bulk book order with a custom workshop for maximum impact.
Ask SAL