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.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

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 PostgresPostgreSQLPostgres

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

  1. 1A schedule fires every 15 minutes.
  2. 2Pulls all open Front conversations with their SLA target timestamps and last-reply times.
  3. 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.
  4. 4A branch separates high-risk tickets from those still comfortably on track.
  5. 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.
  6. 6Writes the forecast snapshot to Postgres so trend accuracy can be reviewed later.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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