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SLA Breach Escalation Alerts

Example prompt: "Every hour, check our Jira support queue for tickets approaching their SLA deadline. If any ticket is within 2 hours of breaching, send an escalation message to #support-escalations on Slack and email the assigned agent's manager."

The Problem

Support teams commit to response and resolution times, but tracking which tickets are about to breach those deadlines is a manual, error-prone task. Team leads end up refreshing dashboards throughout the day, scanning for tickets that have been open too long. By the time someone notices a ticket is overdue, the SLA has already been missed — and the customer has already noticed.

How GloriaMundo Solves It

We build a scheduled workflow that runs every hour and queries your Jira (or other ticketing system) for open support tickets. A code step calculates how much time remains before each ticket breaches its SLA, based on priority level and creation time. A conditional step filters for tickets within a configurable warning window — say, 2 hours before breach. For each at-risk ticket, the workflow sends an escalation message to a dedicated Slack channel with the ticket ID, summary, assignee, and time remaining. It also emails the assignee's manager so nothing slips through. Glass Box preview shows you exactly which tickets would trigger escalation and what the messages would say, so you can tune the warning threshold before going live.

Example Workflow Steps

  1. Trigger (scheduled): Runs every hour during business hours.
  2. Step 1 (integration): Query Jira for all open tickets in the support project, returning ticket ID, priority, assignee, creation time, and summary.
  3. Step 2 (code): Calculate time remaining before SLA breach for each ticket based on its priority level. Flag any ticket within 2 hours of the deadline.
  4. Step 3 (conditional): If no tickets are at risk, end the workflow. Otherwise, proceed with escalation.
  5. Step 4 (integration): Post an escalation message to #support-escalations on Slack listing each at-risk ticket with its time remaining and assignee.
  6. Step 5 (integration): Send an email via Gmail to the relevant manager for each at-risk ticket with the ticket details and a direct link.

Integrations Used

  • Jira — source of support ticket data including priority, assignee, and timestamps
  • Slack — escalation channel for at-risk ticket alerts
  • Gmail — direct email notification to managers for individual ticket escalation

Who This Is For

Support team leads, operations managers, and customer success teams who have committed to SLA targets and need proactive warnings rather than after-the-fact reports on missed deadlines.

Time & Cost Saved

Manually monitoring SLA compliance across a queue of 50-100 open tickets takes 15-30 minutes per check, and most teams only manage to check a few times a day. This workflow checks every hour automatically and only alerts when action is needed. More importantly, catching an at-risk ticket 2 hours before breach gives the team time to reassign or prioritise — preventing missed SLAs rather than just reporting them. Credit cost is minimal: integration and code steps with no LLM overhead.