TICKET MANAGEMENT
Duplicate-Spike Detector that Escalates Clustered Tickets to PagerDuty
Watches a Postgres ticket stream and, when many near-identical tickets land in a short window, treats the burst as one incident: it picks a canonical ticket, links the siblings.
How it runs
The automated pipeline, trigger to output.
- TriggerTicket webhook receivedHTTP webhook
- ActionEmbed ticket + count recent siblings in windowPostgres
- LogicGate on spike threshold within rolling window
- ActionElect canonical ticket + write incident summaryOpenAI
- ActionRecord canonical-to-sibling linksPostgres
- OutputEscalate clustered incident to PagerDutyPagerDuty
What it does
This workflow turns a sudden burst of duplicate tickets into a single actionable incident. A webhook feeds new tickets in real time; when the rate of near-identical tickets spikes past a threshold inside a rolling window, the workflow declares a cluster, elects a canonical ticket, links the siblings, and escalates to on-call so a flood of separate reports becomes one page instead of many.
When to use it
When duplicate volume itself is the signal — an outage that generates dozens of identical tickets in minutes. Use it to collapse that noise into one incident and reach on-call fast, rather than letting agents triage the same report repeatedly.
How it works
- 1A ticket webhook fires on each new ticket.
- 2OpenAI embeds the ticket and a Postgres window query counts recent near-identical siblings.
- 3A logic gate checks whether the cluster size and similarity cross the spike threshold within the rolling window.
- 4OpenAI elects a canonical ticket and writes an incident summary spanning the cluster.
- 5Postgres records the canonical-to-sibling links for the cluster.
- 6PagerDuty receives a single escalation carrying the canonical ticket and cluster size.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Connect PagerDutyIncidents, on-call, escalations.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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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.
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