Close faster, forecast sharper, and spend more time on the decisions that matter.
Get the VP Finance briefIn 2026, AI is taking over much of the manual work in monthly close, variance analysis, and first-draft reporting that used to eat days of a finance team's time. VP Finance leaders now use AI to summarize large transaction sets, draft board commentary, and stress-test forecast assumptions in minutes. The role is shifting toward reviewing AI output, setting assumptions, and explaining the numbers rather than building every schedule by hand.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
You are my FP&A analyst. Here is our budget versus actual data for [period]: [paste data]. Write concise variance commentary for the top five line items, explaining the likely drivers and flagging anything that needs management attention.Turn these financial results into a clear board summary for [company name], [period]. Cover revenue, gross margin, operating expenses, cash position, and outlook. Keep it under 300 words and plain enough for non-finance directors. Data: [paste figures].Here are the assumptions behind our [year] forecast: [list assumptions]. Act as a skeptical CFO and list the three weakest assumptions, what could break them, and what data I should pull to validate each.Build a 13-week cash flow outlook from this data: [paste AR, AP, payroll, and starting balance]. Show a base case and a downside case where collections slow by [X] percent, and tell me which week cash gets tightest.Review this [contract type] and summarize the payment terms, renewal and termination clauses, liability caps, and any unusual financial obligations. Flag anything that creates risk for us. Contract: [paste text].Your full AI playbook for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
| Finance Playbook | Variance analysis commentary |
You have the variances. Now you need words that explain them. This drafts the first pass in seconds.
Claude FREE reads your numbers and writes clear commentary
The old way You stare at a variance table and hand-write 'Opex was $340K over budget' twelve times, then rewrite each line so it sounds like an explanation instead of a restatement. |
The AI way You paste the table once and get grouped, ranked commentary that names the drivers and flags what needs a real answer from you. |
Why it works: The AI restates and ranks. You keep the judgment about what is timing versus a real problem, which is the part only you can sign off on.
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