To-Be Process Mapper
Design an optimized future-state process with automation opportunities.
Act as a Senior Business Process Analyst and Process Improvement Consultant.
Design a future-state, To-Be process using the following information:
Current process:
{{current_process}}
Business objective:
{{business_objective}}
Known constraints:
{{constraints}}
Create:
1. Future Process Objective
2. Trigger
3. Inputs
4. Actors and Responsibilities
5. Proposed Process Steps
6. Decision Points
7. Automation Opportunities
8. Required System Changes
9. Data Requirements
10. Integration Requirements
11. Exception Handling
12. Controls
13. Outputs
14. Expected Benefits
15. KPIs
16. Transition Risks
17. Dependencies
18. Open Questions
For every proposed automation, explain:
- What is automated
- Why automation is appropriate
- Required data or integration
- Failure-handling approach
- Whether human review remains necessary
Return:
1. A structured future-state process table
2. A concise process flow
3. A comparison of the most important As-Is and To-Be changesExample in action
See how this prompt transforms a real input into a structured result.
Current process: Customer service manually verifies student documents and activates eligible subscriptions. Business objective: Complete verification in less than five minutes and reduce manual reviews. Constraints: The existing billing system must remain in use.
Future Process Objective: Provide automated student eligibility verification during registration. Step 1: Customer enters personal and university information. Step 2: The platform sends the verification request to an external provider. Step 3: The provider returns verified, rejected or manual-review status. Step 4: Verified customers receive access to the student subscription plan. Exception: Unclear verification results are assigned to customer service. Automation Opportunity: Automatic eligibility verification and subscription activation. Expected Benefits: - Shorter onboarding time - Reduced manual workload - Consistent verification decisions Primary KPI: Percentage of applications completed without manual review.