CHATBOTS
Ask-the-Handoff Bot for Current On-Call State
An on-demand chat bot the incoming engineer messages with questions like 'what's still open?'.
How it runs
The automated pipeline, trigger to output.
- TriggerEngineer messages the bot in SlackSlack
- LogicInterpret question; choose systems and filters
- ActionQuery PagerDuty for matching open incidentsPagerDuty
- ActionQuery Datadog monitor state when relevantDatadog
- ActionCompose grounded plain-language answerOpenAI
- OutputReply in the Slack thread with verifying linksSlack
What it does
Instead of pushing a digest on a timer, this bot answers the incoming engineer's questions whenever they ask. They message it in Slack — 'what incidents are still open?', 'anything firing on the payments service?' — and it queries PagerDuty and Datadog in real time and replies with a concise, current answer. It is the conversational counterpart to a scheduled handoff.
When to use it
Use this when engineers prefer to pull context on demand rather than receive a fixed briefing, or as a companion to a scheduled digest so they can drill into specifics mid-shift without opening four dashboards.
How it works
- 1The engineer sends a message to the bot in Slack, which triggers the flow as a chat request.
- 2The agent interprets the question to decide which systems to query and with what filters.
- 3It calls PagerDuty for open or acknowledged incidents matching the asked-about service or scope.
- 4It calls Datadog for the current state of relevant monitors when the question concerns alerts.
- 5The agent composes a plain-language answer grounded only in the live data it retrieved.
- 6It replies in the same Slack thread, with links so the engineer can verify or dig deeper.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect PagerDutyIncidents, on-call, escalations.
- 3Connect DatadogMetrics, traces, log search.
- 4Connect OpenAIModels, embeddings, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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