TICKET MANAGEMENT

End-of-Shift SLA Breach Risk Digest

At the end of each shift, forecasts every ticket likely to breach SLA overnight and sends managers a ranked digest in Slack plus an archived snapshot for trend analysis.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEnd-of-shift schedule
  • ActionFetch unresolved tickets + SLA metricsZendeskZendesk
  • LogicRank tickets by projected hours-to-breach
  • LogicBucket into breach-tonight / soon / watch
  • OutputPost ranked digest to handoff channelSlack
  • ActionArchive snapshot to Postgres for trendsPostgreSQLPostgres

What it does

This workflow produces a once-per-shift forecast of which open Zendesk tickets are most likely to breach their SLA before the next shift can act on them, ranked by urgency, and delivers it as a Slack digest while archiving the snapshot for later trend review.

When to use it

Use it for handoffs between shifts or regions. It gives the incoming team a prioritized list of tickets to protect first and gives managers a daily record of breach pressure over time.

How it works

  1. 1A schedule fires at the configured end-of-shift time.
  2. 2It pulls all unresolved Zendesk tickets with SLA metrics and assignee load.
  3. 3A forecasting step ranks each ticket by projected hours-to-breach against expected coverage during the gap.
  4. 4It formats a digest grouping tickets into breach-tonight, breach-soon, and watch buckets.
  5. 5It posts the ranked digest to the shift-handoff Slack channel.
  6. 6It writes the full snapshot as a timestamped row to a Postgres table so managers can chart breach risk across shifts.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  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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