AI & RAG

On-Call Shift Handoff Digest

At shift change, summarizes the last shift's PagerDuty incidents and links each to relevant postmortems, delivering a grounded handoff brief to the incoming on-call engineer.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerShift-change schedule fires
  • ActionFetch resolved incidents for the shiftPagerDutyPagerDuty
  • LogicSkip digest on a clean shift
  • ActionRetrieve related postmortems per incidentPostgreSQLPostgres
  • ActionWrite grounded handoff summariesOpenAI
  • OutputSend digest to incoming on-call in SlackSlack

What it does

At the end of each on-call rotation it assembles a handoff digest: every incident the outgoing engineer handled, what likely caused each, and the postmortems or runbooks most relevant to recurrence — so the incoming engineer inherits context, not just a pager.

When to use it

Use it for teams with rotating on-call where handoffs are verbal, rushed, or skipped. Especially valuable when overnight incidents risk repeating on the next shift without the new responder knowing.

How it works

  1. 1A scheduled trigger fires at shift boundary.
  2. 2PagerDuty is queried for incidents resolved during the outgoing shift.
  3. 3A logic step short-circuits to a quiet 'no incidents' note when the shift was clean.
  4. 4For each incident, relevant postmortems and runbooks are retrieved from the Confluence-backed Postgres corpus.
  5. 5OpenAI writes a per-incident handoff summary with cause, status, and recommended watch items, grounded in retrieved sources.
  6. 6The digest is delivered to the incoming on-call engineer in Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PagerDutyIncidents, on-call, escalations.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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