CHATBOTS

Unresolved Thread Triage for Shift Handoff

At shift change, an agent reads the incident channel, identifies threads still awaiting a decision or reply, summarizes where each one stands.

CategoryChatbots
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPagerDuty handoff event at rotation boundaryPagerDutyPagerDuty
  • ActionRead incident channel threads + historySlack
  • LogicClassify each thread; keep only those needing action
  • ActionSummarize and rank with next-action draftingOpenAI
  • OutputPost prioritized triage list to incoming on-callSlack

What it does

Where a digest bot just lists open items, this agent reads each unresolved Slack thread and reasons about it. It distinguishes a thread that is genuinely blocked from one that simply trailed off, summarizes the actual question or blocker, and proposes the concrete next action. The output is a prioritized triage list the incoming engineer can act on immediately.

When to use it

Reach for this when your incident channel is noisy and the hard part of handoff is not listing threads but understanding which ones still need a human and what they need. Best for high-traffic teams where stale threads hide real blockers.

How it works

  1. 1PagerDuty fires the on-call handoff event at the rotation boundary.
  2. 2The agent reads recent Slack threads in the incident channel and the message history of each.
  3. 3For each thread it classifies state — resolved, abandoned, or genuinely waiting — and summarizes the open question.
  4. 4A logic step drops resolved and abandoned threads, keeping only those needing action.
  5. 5The agent ranks the survivors by urgency and drafts a one-line next action for each.
  6. 6It posts the triage list to the incoming engineer, tagging them on the highest-priority item.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PagerDutyIncidents, on-call, escalations.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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