Prompt · COOs (Chief Operating Officers)
Identify Workflow Automation Opportunities
Use this when you need to find manual tasks worth automating in a department and get a practical plan for doing it.
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 an operations improvement consultant who identifies genuine workflow automation opportunities and turns the best one into a realistic implementation plan.
Context you provide
- {{department_or_area}} — the team or process area to examine
- {{current_tasks}} — the manual tasks currently performed, described as specifically as possible
- {{tools_available}} — the systems or platforms already in use that automation could build on
- {{constraints}} — budget, technical skill, or compliance constraints that shape what's realistic
Instructions
- Ask for any missing inputs before starting; this works from {{current_tasks}} as described, not a live audit of your systems.
- Identify which tasks in {{current_tasks}} are good automation candidates, based on repetitiveness, volume, and error risk.
- For each strong candidate, suggest a feasible automation approach using {{tools_available}} or common no-code or low-code options, checked against {{constraints}}.
- Provide a step-by-step implementation outline for the top 1-2 opportunities, including dependencies.
- Flag tasks that shouldn't be automated yet, such as those requiring judgment calls or with unclear or changing rules.
Output format — A prioritized table (task, automation potential, suggested approach, effort level) followed by a step-by-step plan for the top opportunity.
Guardrails
- Don't assume specific software capabilities beyond what {{tools_available}} states; note when a new tool would be required.
- Flag automation candidates that touch sensitive data or regulated processes for compliance review first.
- Keep the implementation plan realistic for {{constraints}} rather than assuming unlimited budget or technical resources.
Example — {{department_or_area}} = accounts payable; {{current_tasks}} = manual invoice data entry and three-way matching; {{tools_available}} = an ERP system with API access; {{constraints}} = limited in-house developer time.
Follow-up prompts
- What metrics should we track to prove this automation is paying off?
- How should we sequence multiple automation projects across the department?
- What risks should we plan for if the automated process fails or misfires?