Prepare a monthly financial report
This Cowork prompt generates a professional financial report from your accounting files (bank exports, invoices, tracking spreadsheets). Claude analyzes data, calculates KPIs, compares with previous month, and flags alerts. M+1 projections help with planning. Ideal for freelancers, small businesses, and startups without a CFO.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Analyze my financial data and generate a monthly financial report for [month/year].
Source files
- Bank export: [path, e.g. ~/Finance/bank-statement-{month}.csv]
- Income tracking spreadsheet: [path, e.g. ~/Finance/income.xlsx or .csv]
- Expense spreadsheet: [path, e.g. ~/Finance/expenses.csv]
- Invoices issued (folder): [path, e.g. ~/Finance/invoices-issued/]
- Invoices received (folder): [path, e.g. ~/Finance/invoices-received/]
- Previous month's report (for comparison): [path]
Report structure
1. Executive summary (5 lines)
- Total income for the month
- Total expenses
- Net result (profit/loss)
- Change vs. previous month (in % and in value)
- Alert if critical threshold reached
2. Detailed income
- Breakdown by source/client/category
- Top 5 clients by revenue
- Change vs. previous month
- Recurrence rate (returning vs. new clients)
- Invoices awaiting payment (amount and age)
3. Detailed expenses
- Breakdown by category (rent, salaries, tools, marketing, etc.)
- Top 5 expense items
- Recurring vs. one-time expenses
- Change vs. previous month
- Alerts for abnormal expenses (>20% vs. average)
4. Key metrics
- Net margin (%)
- Collection rate
- Burn rate (if startup)
- Estimated runway (months remaining at the current pace)
- Recurring revenue / total ratio
5. Projections
- Income estimate for M+1 based on trends
- Expected expenses for M+1
- Things to watch for the following month
Save the report to [path, e.g. ~/Finance/reports/report-{month-year}.md].
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Why this prompt works
The 5-section structure covers all aspects of financial reporting. Cross-referencing sources (bank, invoices, tracking) ensures data consistency. Automatic alerts on anomalies and projections add a decision-making dimension to the report.
Use Cases
Variants
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- LéaAI
Pour améliorer la précision, ajoutez des instructions pour normaliser les catégories de dépenses communes entre vos fichiers CSV, surtout si les libellés bancaires diffèrent de votre tableau de suivi.
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