TICKET MANAGEMENT
Forecast 4-hour SLA breaches and rebalance the ClickUp queue
Every 15 minutes, scans open Zendesk tickets, predicts which ones will breach their SLA in the next 4 hours.
How it runs
The automated pipeline, trigger to output.
- TriggerEvery 15 minutes
- ActionFetch open tickets with active SLAsZendesk
- LogicKeep tickets breaching within 4 hours
- LogicBranch by time-to-breach severity
- ActionReorder and reprioritize ClickUp tasksClickUp
- OutputPost ranked at-risk queue to SlackSlack
What it does
This workflow runs a rolling forecast over your live Zendesk backlog. It looks at each open ticket's SLA clock, remaining time, and recent agent activity, then flags any ticket projected to miss its target reply or resolution deadline within the next four hours. Flagged tickets are pushed to the top of the matching ClickUp list with an updated priority and a due date set to the breach moment.
When to use it
Run this when your support team works tickets out of ClickUp but SLAs are tracked in Zendesk, and queue order drifts out of sync with what's actually urgent. It keeps agents pulling the right ticket next without anyone manually triaging.
How it works
- 1A 15-minute schedule fires the run.
- 2Pull all open and pending tickets with active SLA policies from Zendesk.
- 3For each ticket, compute time-to-breach from the SLA target minus elapsed clock time, then keep only those breaching within 4 hours.
- 4Branch on severity: tickets under 1 hour get urgent priority, the rest get high.
- 5Update each mirrored ClickUp task's priority, due date, and sort rank.
- 6Post a ranked at-risk list back to the queue channel.
Set it up
What you configure once, before turning it on.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect ClickUpDocs + tasks + chats in one workspace.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Ticket Management workflows
Enrich Discord bug reports with Sentry errors before filing in Linear
Takes a Discord bug report, has an LLM pull out likely error signatures, searches Sentry for matching events.
Front-to-Linear Recurring Bug Linker
When a Front ticket is tagged as a bug, it searches Linear for an existing matching issue and either links the ticket to that parent issue or opens a new tracked one.
Front Duplicate Conversation Clusterer
When a new Front conversation arrives, it semantically compares the report against open conversations.
Intercom Known-Issue Auto-Responder
When a new Intercom conversation matches a known active incident, it attaches the conversation to that incident's parent ticket and sends the customer the current status reply.
Weekly reopen-by-agent coaching digest
Aggregates each agent's solved-then-reopened tickets for the week, identifies the most common reopen reason per agent, and emails a private coaching digest to the support manager.
Escalate repeat reopens to a Linear bug
Detects when the same underlying issue reopens across multiple tickets, uses an AI agent to cluster them by root cause.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.