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A practical checklist for putting AI to work across close, forecasting, planning, and board reporting, without inheriting the failure mode.
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Finance held out on AI for good reasons. This is how to adopt it without inheriting the failure mode: a confidently wrong number nobody can trace.
01
Where AI earns its place, why every number has to trace to the GL, and how a connected, governed, reconciled data layer makes or breaks every use case.
02
Use AI where the work is mechanical, treat its commentary as a hypothesis you correct, and demand forecasts that show their drivers and a range.
03
Reconcile top-down targets against bottom-up builds, and keep the board narrative in the CFO's voice, starting from a sourced first draft, not a blank slide.
04
Shift the team's time from assembly to judgment, organize agents on one governed layer, and place yourself on a three-tier maturity self-assessment.
INSIDE THE E-BOOK
Where AI earns its place, and why every use case lives or dies on the data layer.
Flux commentary, anomaly flags, driver-based scenarios, and where judgment leads.
Compressing the planning calendar and drafting the board narrative, not just the numbers.
Redesigning where the team's time goes, the FP&Agent model, and a maturity self-assessment.
AI drafts the first pass. You make the call.
Cube · How to Use AI for FP&A
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The 15 questions to ask before you trust AI with the numbers, across close, forecasting, planning, and governance. Yours in one download.