Ticket Classification replaced a manual process that took 2 hours daily. ROI was clear within the first month.
+ Scales well as we grow · Integrations worked on first try
Auto-tag and route Zendesk tickets by topic, product, and urgency using NLP classification.
This automation starts when new Zendesk ticket created webhook. It openai classify topic & urgency and zendesk route to group, then low confidence tickets queue to triage Slack for human correction.
Read-only visualization of how data moves from trigger to final result.
Zendesk ticket create webhook
NLP classifier tags billing, technical, shipping, or account
Auto-tag and assign to finance, tier-2, or logistics group
Low confidence tickets queue to triage Slack for human correction
Sends
Sends
Score
Remove repetitive steps from Ticket Classification so your team focuses on high-value work.
Connected apps sync data automatically instead of copy-paste between dashboards.
Standardized logic runs the same way every time, with retries on failure.
Automation runtime
Connect required apps via OAuth or API keys. Credentials are encrypted server-side. Dev test runs mock external actions when connections are missing.
Est. setup time: ~5 min
Webhook trigger
Activate this workflow to provision the trigger endpoint.
No runs yet. Install the template and run a test, or activate to receive webhook/schedule runs.
New Zendesk ticket webhook sends subject and body to fine-tuned classifier—billing, technical, shipping, account, feature request—with confidence score. Tags applied automatically; billing routes to finance group, technical to tier-2, shipping to logistics. Low confidence queues to triage Slack for human tag correction that feeds retraining export weekly.
Some steps run in preview until their integrations go live.
Webhook on ticket create; API for tag and group assignment.
Start with GPT-4o zero-shot; optional fine-tune on 500 labeled historical tickets.
Spreadsheet maps tag → Zendesk group ID and default priority.
Human corrections in Slack export weekly to improve prompts.
Compare auto-tags to human baseline; tune until 90%+ accuracy.
| Variable | Type | Default | Required |
|---|---|---|---|
| Business Name | text | Your Business | Yes |
| Notification Email | — | Yes | |
| Timezone | select | — | Yes |
| Slack Channel | text | #general | No |
Primary topic wins; secondary topics added as additional tags when confidence >0.6.
Requester VIP flag forces priority urgent regardless of topic.
Spam classifier branch auto-solves and tags spam before routing.
Swap Zendesk connector; same classification logic.
Our team can adapt this template to your exact workflow, apps, and brand requirements.
287 total reviews
Ticket Classification replaced a manual process that took 2 hours daily. ROI was clear within the first month.
+ Scales well as we grow · Integrations worked on first try
We deployed this across three locations and saw immediate time savings. The Ticket Classification workflow handles edge cases we didn't expect it to.
+ Saved our team 10+ hours weekly · Reliable triggers every time
− Took longer than estimated for advanced config
Solid template. We duplicated and tweaked variables for our brand. Would recommend for teams starting automation.
+ Setup was straightforward · Great documentation
New Zendesk ticket webhook sends subject and body to fine-tuned classifier—billing, technical, shipping, account, feature request—with confidence score. Tags applied automatically; billing routes to finance group, technical to tier-2, shipping to logistics. Low confidence queues to triage Slack for human tag correction that feeds retraining export weekly.
Activate Ticket Classification with default variables and run a sandbox test.
Scenario: New user installs template and validates output in under 15 minutes.
Connect live apps, map business rules, enable monitoring alerts.
Scenario: Team deploys to workspace after QA sign-off on test runs.
Version 1.2.0 — Improved reliability and Slack notifications for Ticket Classification.
Current version: 1.2.0
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