TICKET MANAGEMENT

Agentic pre-escalation: draft remediation and page on-call for tickets about to breach

Every 10 minutes, a CEO agent reviews tickets forecast to breach SLA, drafts a customer holding reply and an internal action plan, escalates the most critical via PagerDuty.

CategoryTicket Management
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery 10 minutes
  • ActionFetch forecast-to-breach tickets with contextZendeskZendesk
  • LogicAgent assesses severity, tier, and cause
  • ActionDraft holding reply + action plan onto ticketZendeskZendesk
  • LogicPage on-call only if judged criticalPagerDutyPagerDuty
  • OutputLog decisions + rationale to SlackSlack

What it does

This is the agent-driven version of breach prevention. An agent reviews the set of tickets forecast to miss SLA, reasons about each one's customer impact and root cause, drafts a tailored holding reply to the customer plus an internal remediation plan, and pages on-call only for the genuinely critical cases. It handles the judgment work a static rule can't.

When to use it

Use this when at-risk tickets need contextual handling, not just a priority bump, and when over-paging is a real cost. Suited to high-value accounts where a thoughtful pre-breach touch matters.

How it works

  1. 1A schedule fires every 10 minutes.
  2. 2Pulls tickets flagged as forecast-to-breach from Zendesk with full context.
  3. 3The agent assesses each ticket's severity, customer tier, and likely cause.
  4. 4It drafts a customer holding reply and an internal action plan, posting both to the Zendesk ticket.
  5. 5A branch pages on-call via PagerDuty only for tickets it judges critical.
  6. 6Logs each decision and rationale to Slack for auditability.

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
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.