How a CFO should evaluate an AI initiative
Move from a demo to a decision record covering financial purpose, data, control, ownership, evidence, cost, and exit.
An independent finance-leadership publication that examines where AI changes planning, close, cash, control, disclosure, and capital decisions—and what evidence a CFO must require before relying on it.
Guides for defining the job, evidence, control, pilot, implementation, and review before treating an AI capability as an operating result.
Move from a demo to a decision record covering financial purpose, data, control, ownership, evidence, cost, and exit.
Place generated analysis and agent actions inside existing access, change, review, reconciliation, and retention controls.
Test planning tools with real dimensions, exceptions, changing assumptions, and reconciliation questions.
Build an investment case that includes enablement, governance, integration, model usage, review, and failure costs.