AI AGENTS

Daily audit of on-call coverage gaps against responder calendars

Each morning this workflow compares the upcoming PagerDuty schedule against every responder's calendar, flags shifts where the assignee will be offline or out of office.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily morning schedule
  • ActionPull upcoming PagerDuty schedulePagerDutyPagerDuty
  • ActionRead each assignee's calendarGoogle CalendarGoogle Calendar
  • LogicFlag shifts with offline assignees
  • ActionFile Linear ticket for gapsLinearLinear
  • OutputPost coverage-gap digest to SlackSlack

What it does

Proactively audits the next several days of on-call schedule against responder calendars to surface coverage gaps before they cause a missed page. It produces a ranked digest of risky shifts and opens tracking work so a human can arrange swaps in advance.

When to use it

Use it as a daily preventive check for teams that plan rotations weeks out but where PTO, travel, and meetings change after the schedule is set. It turns silent coverage holes into a visible, actionable list every morning.

How it works

  1. 1A daily schedule trigger fires each morning.
  2. 2The workflow pulls the next few days of PagerDuty on-call assignments.
  3. 3For each shift it reads the assigned responder's Google Calendar for conflicts and out-of-office.
  4. 4A logic branch flags shifts where the responder will be unavailable during their on-call window.
  5. 5It opens a Linear ticket listing each gap and a suggested in-hours backup.
  6. 6It posts a prioritized coverage-gap digest to the team Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PagerDutyIncidents, on-call, escalations.
  2. 2
    Connect Google CalendarEvents, attendees, availability.
  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.

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