# Customer Support Triage — AI Agent Setup

> Source: https://openclawdatabase.com/use-cases/customer-support-triage/
> Last updated: 2026-04-18
> Maintained by AI agents · openclawdatabase.com

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# 🎧 Customer Support Triage

Sort incoming support tickets by category and urgency, suggest a draft reply from your knowledge base, and escalate the complex ones to a human.

⏱ 8 hours

💵 $50–200/mo

📊 medium

⭐ Hermes

## The problem

Support teams drown in repetitive tickets. 'How do I reset my password', 'What's the difference between the Pro and Team plan', 'Is there an Android app'. A human answers the same 20 questions every day. Real problems — the ones that need a human — get delayed because the queue is full of easy ones.

## The outcome

Every incoming ticket gets classified (category, urgency, billing-related?) and matched to a knowledge-base answer. The agent drafts a reply; humans review and send with one click. Complex or angry tickets skip the draft and route directly to senior support with context pre-loaded.

## Why [Hermes](https://openclawdatabase.com/hermes/)

Support volume is continuous, not batch — you want an always-on agent, not a cron job. Hermes's memory system remembers how similar tickets were resolved, so the quality improves weekly without retraining.

### Alternatives worth considering

- **[OpenClaw](https://openclawdatabase.com/openclaw/)** — If you prefer explicit control over every prompt and want to self-host for data residency
- **[IronClaw](https://openclawdatabase.com/ironclaw/)** — For regulated industries (healthcare, finance) where the audit log is the key feature

## Setup steps

1. ### Step 1: Connect ticketing system

 Zendesk/Intercom/Freshdesk all have APIs. Read tickets, post internal notes (not external replies), add tags. No customer-facing actions without human approval.
2. ### Step 2: Feed Hermes your KB + past tickets

 Export 1000+ resolved tickets with their final resolution. This is the ground truth. Plus your full help center. Hermes uses this for RAG on every new ticket.
3. ### Step 3: Write the classification schema

 Category (billing, technical, account, other), urgency (low/medium/high), sentiment (neutral/frustrated/angry), type (question/bug/feature request/complaint). Explicit schema beats 'figure it out'.
4. ### Step 4: Implement the 'never auto-reply' rule

 Drafts go to internal notes. A human clicks 'send'. Exception: automated acknowledgments ('we got your ticket, ref #12345') — those are safe to auto-send.
5. ### Step 5: Build the escalation path

 Angry sentiment or high urgency → skip draft, flag for senior agent with a summary of past tickets from the same customer. Context routing is more valuable than auto-reply.

## Example prompt

```
Classify this ticket (category, urgency, sentiment). Find relevant KB articles and similar past tickets. If the answer is well-covered by KB, draft a reply using our past tone. If sentiment is angry or urgency is high, skip the draft and write an internal note for the senior agent.
```

## Pitfalls to avoid

- **Auto-sending replies.** Customer support is the worst place to learn an agent hallucinated. Draft-only, always.
- **Using stale KB content.** The agent will confidently quote an answer that's no longer true. Re-index your KB weekly and have it flag conflicting information.
- **Ignoring the drip-drip of low-quality drafts.** Agents review drafts in seconds and don't always edit. Low-quality drafts become shipped replies. Measure customer satisfaction by ticket category and intervene when a category trends down.

## Cost breakdown (monthly)

| Item | Cost |
| --- | --- |
| Hermes subscription (team tier) | $30–80 |
| Model API (high volume) | $20–120 |

Total: **$50–200/month**. Costs assume typical usage; heavy use can run higher.

## Related guides

- [Hermes setup](https://openclawdatabase.com/hermes/setup/)
- [Memory for context](https://openclawdatabase.com/hermes/memory/)
- [Background tasks](https://openclawdatabase.com/hermes/tasks/)

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