7.0 KiB
7.0 KiB
AI Conclusion Remark Examples
✅ What Makes a Good Conclusion Remark?
A good conclusion remark should:
- Be concise (100-200 words)
- Sound natural (like a human wrote it, not AI)
- State the facts (what was requested, who approved, outcome)
- Be practical (suitable for archiving and future reference)
- Avoid jargon (no corporate buzzwords or overly formal language)
❌ BAD Example (Too Formal/Corporate)
## Workflow Completion Summary
Request REQ-2025-82736 "testing ai conclusion" has been successfully completed with EXPRESS priority status. The workflow proceeded efficiently through the approval process, achieving completion well within the established timeframes and meeting all required approval criteria.
### Key Highlights:
• **Expedited Approval Process**: The request was processed with EXPRESS priority and completed successfully within the designated approval framework
• **Efficient Level 1 Approval**: Test User11 provided prompt approval, completing the review in 0.0 hours against the allocated 1-hour TAT, demonstrating exceptional processing efficiency
• **Document Compliance**: The approver confirmed that all submitted documentation met the required standards with the comment "Documents are fine i am approving it"
• **Streamlined Execution**: The workflow proceeded without requiring additional work notes, discussions, or document revisions, indicating clear initial requirements and proper submission formatting
• **Zero Delays**: No bottlenecks or escalations were encountered during the approval process, ensuring optimal workflow performance
The successful completion of this EXPRESS priority request demonstrates the effectiveness of Royal Enfield's approval mechanisms and the commitment of stakeholders to maintain operational efficiency. The workflow concluded with all necessary approvals obtained and compliance requirements satisfied.
Problems:
- Way too long and verbose
- Overly formal corporate language
- Sounds like AI/marketing material
- Uses buzzwords ("synergy", "streamlined execution", "optimal workflow performance")
- Not practical for quick reference
✅ GOOD Example (Natural & Practical)
Request for testing AI conclusion feature (REQ-2025-82736) was submitted with EXPRESS priority and approved by Test User11 at Level 1. The approver reviewed the submitted documents and confirmed everything was in order, with the comment "Documents are fine i am approving it."
The approval was completed quickly (within the 1-hour TAT), with no revisions or additional documentation required. Request is now closed and ready for implementation.
Why This Works:
- Concise and to the point (~80 words)
- Sounds like a human wrote it
- States the key facts clearly
- Easy to read and reference later
- Professional but not overly formal
- Mentions the outcome
💡 Example: Request with Multiple Approvers
Bad (Too Formal):
The multi-level approval workflow demonstrated exceptional efficiency and stakeholder engagement across all hierarchical levels, with each approver providing valuable insights and maintaining adherence to established turnaround time parameters...
Good (Natural):
This purchase request (REQ-2025-12345) was approved by all three levels: Rajesh (Department Head), Priya (Finance), and Amit (Director). Rajesh approved the budget allocation, Priya confirmed fund availability, and Amit gave final sign-off. Total processing time was 2.5 days. Purchase order can now be raised.
💡 Example: Request with Work Notes
Bad (Too Formal):
Throughout the approval lifecycle, stakeholders engaged in comprehensive discussions via the work notes functionality, demonstrating collaborative problem-solving and thorough due diligence...
Good (Natural):
Marketing campaign request (REQ-2025-23456) approved by Sarah after discussion about budget allocation. Initial request was for ₹50,000, but after work note clarification, it was revised to ₹45,000 to stay within quarterly limits. Campaign is approved to proceed with revised budget.
💡 Example: Rejected Request
Bad (Too Formal):
Following comprehensive review and evaluation against established organizational criteria and resource allocation parameters, the request has been declined due to insufficiency in budgetary justification documentation...
Good (Natural):
Equipment purchase request (REQ-2025-34567) was rejected by Finance (Priya). Reason: Budget already exhausted for Q4, and the equipment is not critical for current operations. Initiator can resubmit in Q1 next year with updated cost estimates and business justification.
📝 Template for Writing Good Conclusions
Use this structure:
- What was requested: Brief description and request number
- Who approved/rejected: Name and level/department
- Key decision or comment: Any important feedback from approvers
- Outcome: What happens next or status
Example:
[What] Request for new laptop (REQ-2025-45678)
[Who] Approved by IT Manager (Suresh) and Finance (Meera)
[Decision] Both approved, Meera confirmed budget is available
[Outcome] Procurement team can proceed with laptop order, estimated delivery in 2 weeks
🎯 Key Differences: AI-Generated vs Human-Written
| AI-Generated (Bad) | Human-Written (Good) |
|---|---|
| "Stakeholder engagement" | "Discussed with..." |
| "Achieved completion well within established timeframes" | "Completed on time" |
| "Demonstrating exceptional processing efficiency" | "Processed quickly" |
| "Optimal workflow performance" | "Everything went smoothly" |
| "The workflow concluded with all necessary approvals obtained" | "All approvals received, request is closed" |
✅ Updated AI Prompt
The AI service now uses an improved prompt that generates more realistic conclusions:
Old Prompt:
- Asked for "professional workflow management assistant"
- Requested "formal and factual" tone
- Asked for corporate language
New Prompt:
- Asks AI to "write like an employee documenting the outcome"
- Requests "natural and human-written" style
- Explicitly forbids "corporate jargon or buzzwords"
- Limits length to 100-200 words
- Focuses on practical, archival value
🔧 How It Works Now
When you click "Generate Conclusion":
- AI analyzes the request, approvals, work notes, and documents
- AI generates a concise, practical summary (100-200 words)
- You review and can edit it if needed
- You finalize to close the request
The conclusion is now:
- ✅ More realistic and natural
- ✅ Concise and to the point
- ✅ Professional but not stuffy
- ✅ Suitable for archiving
- ✅ Easy to read and reference
💬 Feedback
If the AI still generates overly formal conclusions, you can always:
- Edit it directly in the text area
- Simplify the language before finalizing
- Rewrite key sections to sound more natural
The goal is a conclusion that you would actually write yourself if you were closing the request.