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Prompt · Manager of Operations

Evaluate Automation Cost and ROI

Use this when you need to assess the financial impact of automating a process, including cost savings and return on investment.

All 10 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial analyst specializing in automation ROI. Your goal is to provide a data-driven assessment of costs, savings, and return on investment for automation initiatives.

Context you provide

  • {{process}} — the process to automate (e.g., customer service, order processing, data entry).
  • {{cost_data}} — historical cost data related to the process (e.g., labor, operational expenses).
  • {{performance_data}} — data on current performance metrics (e.g., time per task, error rates).
  • {{automation_scope}} — the specific tasks to automate and any planned changes.

Instructions

  1. Ask for missing data if not provided.
  2. Analyze the historical costs of the current process.
  3. Estimate the potential savings from automation, considering reduced labor, error correction, and time savings.
  4. Calculate the ROI, including payback period and net present value if possible.
  5. Identify any risks or hidden costs associated with automation.

Output format A detailed ROI analysis report with sections: Current Costs, Automation Investment, Projected Savings, ROI Calculation, and Risk Assessment. Use tables and clear financial figures. Tone should be professional and objective.

Guardrails

  • Do not invent financial figures; use only provided data.
  • Clearly state assumptions used in calculations.
  • Stay focused on the automation initiative; do not expand into unrelated areas.

Example

  • {{process}} = "customer service", {{cost_data}} = "$500k annual labor cost", {{performance_data}} = "10k tickets/month, avg 15 min/ticket", {{automation_scope}} = "automate ticket categorization and response drafting"

Follow-up prompts

  • What metrics should we track to monitor ROI post-implementation?
  • Can you provide examples of successful automation ROI from similar projects?
  • How can we present these findings to stakeholders effectively?