TICKET MANAGEMENT
Predict 4-Hour SLA Breaches and Alert Owners in Slack
Every 15 minutes, scores open Front tickets against their SLA deadlines, predicts which will breach in the next 4 hours.
How it runs
The automated pipeline, trigger to output.
- TriggerEvery 15 minutes
- ActionFetch open Front conversations with SLA targetsFront
- LogicScore time-to-breach, keep tickets at risk within 4h
- LogicBranch: high-risk vs on-track
- ActionAlert assigned agent in Slack with breach ETASlack
- OutputLog forecast snapshot to PostgresPostgres
What it does
Runs a rolling forecast over your open Front conversations and flags the ones at real risk of missing SLA inside the next four hours, so agents act before a breach instead of after.
When to use it
When your support queue has time-based SLAs and breaches are discovered too late. Ideal for teams that want a proactive nudge rather than a post-mortem report.
How it works
- 1A schedule fires every 15 minutes.
- 2Pulls all open Front conversations with their SLA target timestamps and last-reply times.
- 3For each ticket, computes time-to-breach and a risk score from reply gap, queue depth, and SLA window; keeps only those projected to breach within 4 hours.
- 4A branch separates high-risk tickets from those still comfortably on track.
- 5For each high-risk ticket it posts a Slack DM (or channel mention) to the assigned agent with the ticket link, customer, minutes remaining, and predicted breach time.
- 6Writes the forecast snapshot to Postgres so trend accuracy can be reviewed later.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 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
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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.

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