Financial Data Readiness Assessment
Six questions for strategic CFOs. Score your segmentation maturity, capital-decision readiness, and how ready your data is to sit underneath AI financial analysts.
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How many business systems does your finance team reconcile across each month?
Include ERPs, CRMs, HRIS, billing, payroll, and spreadsheets.
What share of your team's time goes to gathering data vs. interpreting it for decisions?
Gathering = pulls, cleanup, reconciliation. Interpreting = analysis, diagnosis, modeling.
When leadership asks "why are margins changing?", how fast can you answer at the segment level?
Segment level means breaking the P&L apart by product, region, customer type, or deal, not just totals.
Can you model a major capital decision (hire, expansion, debt, M&A) against live data in under a week?
Live data means current actuals and forecasts, not a snapshot from last quarter.
How often do you walk into board meetings with a defensible view of what's driving the P&L?
Drivers means the specific segments, products, and decisions behind the numbers, not just totals.
If an AI financial analyst needed clean actuals by department for the last 12 months right now, how would that happen?
Think through the workflow: which systems, which people, how many steps.