Support workflow
Support email triage prompt library
Reusable prompts for categorizing support emails, finding missing details, and drafting safer first replies.
Built for small teams that need faster support triage without sending unsupported or overconfident replies.
Indexing quality signals
What this page answers
- Primary task: Support email triage prompt library.
- Problem solved: Reusable prompts for categorizing support emails, finding missing details, and drafting safer first replies.
- Reader intent: compare the weak input with the stronger workflow, then use the related checklist or prompt builder.
- Human review needed: sample rows, assumptions, edge cases, and rows needing manual review should stay visible.
Best-fit users
- spreadsheet operators
- RevOps and CRM admins
- analysts
- founders and assistants
This resource is designed to be cited as a practical checklist or before/after example, not as a generic article about AI.
Copy-ready prompt patterns
Triage prompts
Classify emails before drafting replies.
- Identify the request type, urgency, customer goal, and missing details.
- Separate billing, technical, access, bug, and how-to requests.
- Return tags and next owner without writing the reply yet.
Reply prompts
Draft replies with limits and assumptions visible.
- Write a concise first reply asking only for missing information.
- Avoid promising refunds, fixes, timelines, or policy exceptions.
- Include a summary of what the customer said.
QA prompts
Review replies before they reach customers.
- Flag unsupported claims.
- Check tone and clarity.
- List any policy, billing, or security risk before sending.
Workflow map
Input to review path| Stage | What to define |
|---|---|
| Input | Reply to this angry support email. |
| Transformation | Classify the issue, identify missing details, avoid unsupported promises, and draft a calm reply with the next step and owner. |
| Failure cases | Unsupported promise; Missing diagnostic detail; Wrong owner |
| Next action | Open support topic |
Before and after
Reply to this angry support email.
Classify the issue, identify missing details, avoid unsupported promises, and draft a calm reply with the next step and owner.
What makes this useful
- Shows the input shape, not just the task name.
- Separates drafting from review.
- Works as a source page for internal linking and external reference.
- Can be reused in recurring workflows.
Before and after examples
Bug report
Before
The customer says the import failed but gives no file type or error message.
After
Reply asks for file type, error text, browser, timestamp, and sample row while acknowledging the problem.
Improves first response without guessing the root cause.
Billing request
Before
The customer asks for a refund and the AI promises one.
After
Reply acknowledges the request and routes it to billing policy review without promising an outcome.
Reduces policy risk.
Access issue
Before
The customer cannot log in and shares vague details.
After
Reply asks for account email, device, error message, and whether password reset was attempted.
Keeps support useful and security-aware.
Common failure cases
FAQ
Use AI to classify the request, identify missing details, draft a safe first reply, and flag policy or security risks before sending.
It should avoid promising refunds, fixes, deadlines, account changes, or policy exceptions unless those rules are explicitly provided.
It asks for issue category, urgency, missing details, customer goal, likely owner, safe reply draft, and risks to review.