TICKET MANAGEMENT

Page on-call for Zendesk tickets predicted to breach SLA

Watches high-priority Zendesk tickets and raises a PagerDuty incident the moment a ticket's projected resolution time crosses the SLA deadline.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery 10 minutes
  • ActionQuery urgent open Zendesk tickets with SLAZendeskZendesk
  • LogicForecast projected close vs. deadline
  • LogicFilter tickets predicted to breach within 1h
  • ActionOpen PagerDuty incident for on-callPagerDutyPagerDuty
  • OutputAdd private note back to Zendesk ticketZendeskZendesk

What it does

This workflow monitors urgent Zendesk tickets and forecasts whether each one will resolve in time. When a ticket's projected close time slips past its SLA target, it opens a PagerDuty incident routed to the on-call support lead — turning a silent timer into an actionable page well ahead of the actual breach.

When to use it

Use it for tickets where a missed SLA carries real contractual or revenue consequences and you need a human paged, not just a Slack ping. It is built for the small set of high-stakes tickets that justify waking someone up.

How it works

  1. 1A schedule runs every 10 minutes.
  2. 2It queries Zendesk for open tickets at urgent/high priority with an SLA policy applied.
  3. 3A forecast step estimates each ticket's remaining work from its update history and compares projected close time to the SLA deadline.
  4. 4A branch isolates tickets predicted to breach within the next hour that have no PagerDuty incident yet.
  5. 5For each, it creates a PagerDuty incident with the ticket link, deadline, and projected miss.
  6. 6It writes back a private Zendesk note recording that on-call was paged.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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