Multilingual Ticket Triage with Human Gate for Outbound Support
De-sensitized tickets → Grok Bot triage & drafts → human review before send
- Who
- Chinese founders or one-person companies starting to handle English and multilingual support tickets without dedicated staff
- You get
- Auto-triage by language, type, and priority; generate sendable reply drafts; flag high-risk items for human handling
- You need
Constraints
Prerequisites: prepare de-sensitized ticket exports from the past N hours (remove real emails, order numbers, addresses, identifiable names), a product fact card (product name, shipped features, known limitations, refund/SLA policy summary), default reply language, and optional translation language list. Boundaries: Grok Bot outputs drafts only and does not send emails directly; tickets involving payment disputes, security, legal, media, or intense emotion are always flagged [needs-human] with no sendable draft generated.
What they did
The source presents a to-be-verified fictional playbook: a Chinese founder de-sensitizes outbound support tickets, feeds them into Grok Bot for language/type/priority triage, generates reply drafts, reviews them through a human gate before sending from the helpdesk, and writes back optimized phrasing to the fact card.
How it went
The source provides a fictional output example under the fake name AcmeTools, demonstrating triage table format and draft samples (author_report). No real runtime results, throughput, or ROI were reported.
Worth knowing
1) The source explicitly labels the recipe as 'pending real-machine verification' with fictional product names and examples; 2) Feeding un-de-sensitized data risks exposing real emails, order numbers, and names to model context and logs; 3) Letting the bot send emails directly is the most dangerous operation—this playbook defaults to draft-only; 4) Models tend to over-promise (e.g., specific fix dates), which must be explicitly prohibited in the prompt; 5) In multilingual scenarios, fix the English fact card first, then translate—do not let the model freely paraphrase policy; 6) Ticket IDs must align with helpdesk numbering to prevent misfiling; 7) Underlying model version is unspecified; 8) This site has not tested the recipe.
Steps
Import and de-sensitize
Paste or write tickets into inbox/tickets-{{date}}.md. Keep real contact information (email, phone, address) in the helpdesk system; do not bring it into the Grok Bot context. Replace identifiable information with placeholders such as {{user_alias}} and {{ticket_id}}.
Triage and draft
Run the triage prompt in Grok Bot with the de-sensitized tickets and product fact card. The bot outputs a Markdown triage table (language, type, priority, draftable judgment, and reason) and generates reply drafts for items marked draftable.
Execution prompt · Editorial suggestion。Grok Bot conversation input; replace variables before executing triage and draft generation
You are the outbound support assistant for {{ProductName}} (draft-only, do not send). Input is a de-sensitized ticket list. Please output: 1) Triage table (Markdown): | ID | Language | Type(bug/feature/inquiry/complaint/other) | Priority(high/medium/low) | Draftable?(yes/no) | Reason | 2) For each item marked draftable, write a reply draft: - Default language: {{DefaultReplyLanguage}} - Tone: friendly, concise, no show-off - State only information from the fact card; mark uncertain items as [needs-human] - Prohibited: promising ship dates, fabricating features, mentioning internal paths, asking for passwords/verification codes, writing real emails or order numbers 3) [needs-human] list: payment/refund disputes, security, legal, media, intense emotion, issues not covered by the fact card. Fact card: {{ProductFactCard}} Tickets: {{DeSensitizedTickets}}Translate (optional)
If the user is non-English, generate the draft in English first, then translate to the target language. Key policy terms (refund, SLA, feature limitations) must follow the English fact card; do not let the model freely paraphrase policy in the target language.
Human gate
In the helpdesk system, verify the recipient and original ticket, then copy the draft to send or edit manually. High-priority and [needs-human] items must be handled by a human on the same day.
Execution prompt · Editorial suggestion。Human review checklist; confirm each item before sending from helpdesk
[ ] Recipient and original ticket come from the helpdesk, not from bot context addresses [ ] Draft does not promise unshipped features or specific dates [ ] No key / internal path / other user information leaked [ ] High-priority and complaint items have been handled by human or explicitly deferred
Write-back and optimize
Persist repeatedly revised sentences, new common questions, and accurate phrasing into the product fact card or prompt template to reduce hallucination and inconsistency in future runs.
Prompt you can copy
Setup guidance · Editorial suggestion。Hand to setup assistant first to confirm input variables (product name, default reply language, product fact card, de-sensitized tickets) and permissions, then replace variables and execute
This block is the prompt. Ads are never placed here.
You are the outbound support assistant for {{ProductName}} (draft-only, do not send).
Input is a de-sensitized ticket list. Please output:
1) Triage table (Markdown):
| ID | Language | Type(bug/feature/inquiry/complaint/other) | Priority(high/medium/low) | Draftable?(yes/no) | Reason |
2) For each item marked draftable, write a reply draft:
- Default language: {{DefaultReplyLanguage}}
- Tone: friendly, concise, no show-off
- State only information from the fact card; mark uncertain items as [needs-human]
- Prohibited: promising ship dates, fabricating features, mentioning internal paths, asking for passwords/verification codes, writing real emails or order numbers
3) [needs-human] list: payment/refund disputes, security, legal, media, intense emotion, issues not covered by the fact card.
Fact card:
{{ProductFactCard}}
Tickets:
{{DeSensitizedTickets}}Replace {{ProductName}}, {{DefaultReplyLanguage}}, {{ProductFactCard}}, and {{DeSensitizedTickets}} before pasting into the Grok Bot conversation window.
Source
出海客服:多语言工单分流 · sit-in · GitHub · 2026-10-17
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