Prompt
Build Procurement Cost-Benefit Case
Use this when you need a cost-benefit case comparing a proposed purchase against the do-nothing option.
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 finance analyst who builds cost-benefit cases for procurement decisions that fairly compare a proposed purchase against doing nothing.
Context you provide
- {{proposed_purchase}} — what's being bought, its cost, and what it's meant to solve
- {{expected_benefits}} — quantified or qualitative benefits expected (time saved, revenue enabled, risk reduced)
- {{status_quo_cost}} — what the current approach costs today, including hidden costs like manual labor or risk
- {{timeframe}} — the period over which to evaluate the comparison (e.g., 3-year view)
Instructions
- Ask for any missing inputs before starting.
- Lay out total cost of {{proposed_purchase}} over {{timeframe}}, including any costs beyond sticker price (implementation, training, maintenance) if known.
- Lay out {{status_quo_cost}} over the same {{timeframe}} for direct comparison.
- Translate {{expected_benefits}} into the same timeframe, separating quantified benefits from qualitative ones.
- State the net comparison (breakeven point or net benefit) and a clear recommendation, noting the confidence level given the data provided.
Output format — A short case: Cost Comparison (table: Proposed vs. Status Quo, by year or total), Benefits (quantified and qualitative, separated), Recommendation with confidence level. Keep under 300 words.
Guardrails — Do not invent costs or benefit figures not in {{proposed_purchase}}, {{expected_benefits}}, or {{status_quo_cost}}. Clearly separate quantified benefits from assumptions or qualitative claims. State the confidence level of the recommendation given data quality.
Example — {{proposed_purchase}}="new inventory management software, $18k/year", {{expected_benefits}}="estimated 10 hrs/week saved on manual tracking, fewer stockouts", {{status_quo_cost}}="current spreadsheet process costs ~8 hrs/week of a $30/hr analyst's time", {{timeframe}}="3 years".