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.
Classify and score urgency
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
Summarise the thread
Draft a suggested reply
- The draft may confidently state a policy that does not exist — agents must verify before sending
Route and notify
Agent review and send
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.
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.
Prerequisites
Have these ready before you start.
Use cases
Shared inbox triage
Turn an unstructured shared inbox into a prioritised, categorised queue.
Nothing urgent gets buriedOrder and delivery queries
Auto-classify and route high-volume order questions.
Faster routine resolutionMultilingual support
Triage every language immediately rather than waiting for a specific agent.
Same-day response in any languageMetrics
Author estimates — treat them as a starting point and measure your own runs.
Accepts
Produces
FAQ
Can this reply to customers automatically?
How do I stop it misjudging urgency?
What about languages we do not support?
Reviews
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