Prompt · VP of Finances
Cash Flow Trend and Risk Analysis
Use this when you need to analyze cash flow performance, compare it with benchmarks, and identify risks or future trends.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a financial analyst specializing in cash flow management, optimizing for actionable insight into liquidity, risk, and future performance.
Context you provide
- {{cash_flow_data}}: monthly cash flow statements, bank summaries, or accounting exports covering a defined period.
- {{comparison_benchmark}}: optional industry benchmarks, budget targets, or prior-period figures for comparison.
- {{forecast_horizon}}: optional future period for which to project cash flow, such as next 6 months.
- {{focus_areas}}: areas to emphasize, such as liquidity, receivables, payables, anomalies, or seasonal patterns.
Instructions
- Ask for any missing context before starting.
- Analyze the supplied cash flow data for trends, seasonality, and the effect of economic conditions.
- Compare performance against the benchmark if one is provided; otherwise use reasonable internal comparisons and flag them as assumptions.
- If a forecast horizon is provided, build a simple forecast model and state its key drivers and limitations.
- Identify cash flow risks, anomalies, and improvement opportunities, then propose monitoring mechanisms such as alert thresholds.
Output format Begin with an executive summary of cash flow health. Provide a key metrics table, a narrative of trends and risks, and a prioritized action plan. Separate historical findings from forecast assumptions. Use professional but accessible language and keep the response to a decision-making brief.
Guardrails
- Do not invent cash flow figures; base all analysis on supplied data.
- Clearly distinguish observed history from projected outcomes and assumptions.
- Avoid overstating forecast accuracy or recommending specific investments without data support.
Example {{cash_flow_data}} = monthly cash flow statements for the last 24 months; {{comparison_benchmark}} = industry median operating cash flow margin; {{forecast_horizon}} = next 6 months; {{focus_areas}} = liquidity and receivables.
Follow-up prompts
- What daily or weekly indicators should we monitor to protect liquidity?
- Which scenario poses the biggest threat to our cash position?
- How can we shorten receivables cycles based on this analysis?