TICKET MANAGEMENT

Incomplete-Fix Reopen Escalation to Engineering

Filters reopened Zendesk tickets down to confirmed incomplete-fix cases that smell like a real bug.

CategoryTicket Management
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionFetch incomplete-fix reopened tickets from ZendeskZendeskZendesk
  • ActionCluster by underlying fault, flag likely bugsOpenAI
  • LogicDrop one-offs and below-threshold clusters
  • ActionCreate or update deduplicated Linear issue per clusterLinearLinear
  • OutputPost escalations to engineering triage SlackSlack

What it does

When a reopen is caused by an incomplete fix that keeps recurring, the problem usually isn't the agent — it's a product bug. This workflow isolates those cases and routes them to engineering as a single Linear issue, collecting every affected ticket so the impact is undeniable.

When to use it

Use it when agents keep re-solving the same underlying failure and you want product or engineering to own the permanent fix instead of support absorbing repeat contacts. Ideal for teams already triaging bugs in Linear.

How it works

  1. 1A daily schedule fires the run.
  2. 2Pull Zendesk tickets reopened within N days that already carry the `incomplete-fix` cause tag.
  3. 3An OpenAI step clusters them by the underlying fault and decides which clusters look like product bugs versus one-offs.
  4. 4A logic step drops one-offs and below-threshold clusters.
  5. 5For each qualifying cluster, search Linear for an existing issue and either append the new tickets or create a fresh issue with all affected links.
  6. 6Post the new and updated escalations to the engineering triage Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    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.