Customer Support

Customer Support Triage Workflow

Classify, prioritise, summarise and route every incoming ticket

Verified Trending Beginner Automation Mostly automated Freemium
Use this workflow
Est. time
~3 min
Est. cost
$0.09
Steps
6
Automation
Mostly automated
Trigger
Email event

Overview

Support queues fail at triage, not at answering. This workflow reads every incoming ticket, works out what it is actually about, how urgent it is and who should own it, then hands the agent a summary and a suggested reply.

The agent still sends. What changes is that they open a ticket already understood.

Business value

Cuts first-response time and stops urgent tickets sitting behind routine ones.

Expected outcome

Every ticket categorised, prioritised, summarised and routed within seconds, with a draft reply attached.

Problems it solves

  • Urgent tickets queued behind trivial ones
  • Agents re-reading long threads to find the actual question
  • Inconsistent categorisation makes reporting useless
  • Non-English tickets wait for a specific agent

Who it is for

  • Support teams with meaningful ticket volume
  • E-commerce operations handling order queries
  • SaaS teams working from a shared inbox

Benefits

  • Urgency detected from content, not from the customer ticking a box
  • Agents open tickets already summarised
  • Consistent categories make reporting trustworthy
  • Non-English tickets triaged immediately

Limitations

  • Suggested replies need agent review before sending
  • Sarcasm and understatement fool sentiment detection
  • The category taxonomy needs maintaining as the product changes
  • Does not resolve tickets — it prepares them

Success metrics

  • Median first response time
  • Routing accuracy (tickets reassigned)
  • Agent handling time per ticket
  • CSAT versus the pre-automation baseline

Flow diagram

Every step in order, colour-coded by how much of it runs without a human.

Scroll to pan · use the controls to zoom, expand or export.

Steps

6 steps from trigger to result.

1

Ticket created trigger

1 min Automated
Webhook fires with the ticket body, customer record and any thread history.
InputTicket payload
OutputJob
2

Classify and score urgency

GPT-4o 1 min Automated
Assign a category, detect sentiment, and score urgency from the content rather than the customer's self-selection.
InputTicket body
OutputCategory + urgency + sentiment
Prompt
Classify this support ticket.

Ticket:
{{ticket_body}}

Available categories: {{categories}}

Return JSON:
{
  "category": "one of the above",
  "urgency": "low|normal|high|critical",
  "sentiment": "positive|neutral|frustrated|angry",
  "language": "ISO code",
  "is_churn_risk": true|false,
  "one_line_summary": "what they actually need"
}

Judge urgency from the impact described, not from tone. A calm message about total data loss is critical.
  • Tell it to judge urgency by impact, not tone — otherwise politeness gets deprioritised
3

Summarise the thread

GPT-4o 1 min Automated
For tickets with history, condense the whole thread to what has been tried and what is still outstanding.
InputThread history
OutputThread summary
4

Draft a suggested reply

Claude Sonnet 1 min Automated
Produce a first-draft reply grounded in the help centre, in the customer's language.
InputTicket + KB articles
OutputDraft reply
  • The draft may confidently state a policy that does not exist — agents must verify before sending
5

Route and notify

Slack 1 min Automated
Assign to the owning queue, set priority, and alert the on-call channel for anything critical.
InputClassified ticket
OutputRouted ticket
Expected result: Critical tickets surfaced immediately; everything else in the right queue.
6

Agent review and send

3 min Manual Human review
The agent reads the summary, checks the draft against policy, edits and sends.
InputTicket + summary + draft
OutputSent reply

AI tools

Each tool records the role it plays and whether it is required.

Integrations

Services this workflow connects to, and how each authenticates.

Prompt library

Every prompt in the workflow, in chain order. Swap the highlighted placeholders for your own values.

2. Classify and score urgency · User prompt · GPT-4o
Classify this support ticket.

Ticket:
{{ticket_body}}

Available categories: {{categories}}

Return JSON:
{
  "category": "one of the above",
  "urgency": "low|normal|high|critical",
  "sentiment": "positive|neutral|frustrated|angry",
  "language": "ISO code",
  "is_churn_risk": true|false,
  "one_line_summary": "what they actually need"
}

Judge urgency from the impact described, not from tone. A calm message about total data loss is critical.
ticket_body categories

Prerequisites

Have these ready before you start.

LLM API key
For classification and drafting.
Helpdesk with webhooks
Zendesk, Intercom, Freshdesk or a shared inbox with automation.
Category taxonomy
A documented list of categories and their owning queues.

Use cases

Shared inbox triage

Turn an unstructured shared inbox into a prioritised, categorised queue.

Nothing urgent gets buried

Order and delivery queries

Auto-classify and route high-volume order questions.

Faster routine resolution

Multilingual support

Triage every language immediately rather than waiting for a specific agent.

Same-day response in any language

Metrics

Author estimates — treat them as a starting point and measure your own runs.

Execution time
~3 min
Estimated AI cost
$0.09
Token usage
4.5K
Success rate
91%
Automated
88%
Human review
12%

Accepts

EmailTextAPI

Produces

SummaryEmail

FAQ

Can this reply to customers automatically?
It can, and for a narrow set of well-understood queries that is reasonable. Start with agent review on everything, measure where the drafts are consistently right, and only then automate that slice.
Was this helpful?
How do I stop it misjudging urgency?
Instruct it to score on described impact rather than tone, then sample a week of classifications against what agents actually escalated.
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What about languages we do not support?
It will triage and summarise them regardless, which at minimum tells you what has arrived and how urgent it is.
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