Structure
Where work concentrates when transaction processing is largely automated, and which finance roles remain distinct.
Book in progress
How AI will reshape the finance department: its structure, its talent, its leadership, its operating model, and the way an enterprise makes decisions once models sit inside the numbers.
The published title will differ. Draft material below reflects the current argument.
The premise
Most writing about AI and finance stops at the tools. This book starts where the consequences begin: what happens to the shape of the department when transaction work is absorbed by systems, and what a finance leader has to build in its place.
The argument is that the constraint is not analytic capacity. It is judgment, governance, and the willingness to restructure a function whose structure was designed for a different kind of work. Those are decisions a CFO can make deliberately, or have made for them by circumstance.
It is being written from inside a finance organization, while the change is happening, rather than after the fact.
What the book examines
Where work concentrates when transaction processing is largely automated, and which finance roles remain distinct.
The skills that hold value, and how to develop judgment in people who supervise systems rather than produce outputs.
Decision rights between finance, technology, and the business when models inform the numbers.
Governance that makes model-informed decisions defensible to boards, auditors, and regulators.
Progress notes
Progress notes will be published here as the manuscript develops.
Awaiting first updateFollow the book
Notes on progress, chapters, and the arguments that change along the way.