IT OPS
Daily Building Anomaly Digest to MS Teams
Each morning queries BigQuery for the prior day's flagged sensor anomalies, summarizes them by site and system into a ranked briefing.
How it runs
The automated pipeline, trigger to output.
- TriggerMorning scheduled digest run
- ActionQuery prior-day anomalies from BigQueryBigQuery
- LogicGroup and rank by site, system, severity
- ActionDraft prioritized briefing with OpenAIOpenAI
- OutputPost digest to MS Teams channelMicrosoft Teams
What it does
This workflow gives facilities managers a single morning briefing instead of a stream of overnight alerts. It pulls the last 24 hours of flagged anomalies from your BigQuery telemetry store, groups them by site and system (HVAC, power, water, air quality), counts and ranks them by severity, and writes a readable summary that an LLM formats into a tidy briefing. The digest lands in MS Teams before the team's first standup.
When to use it
Use it when real-time pages cover emergencies but you also want a calm daily rollup for planning, trend-spotting, and catching low-grade recurring issues that never breach paging thresholds. Pairs naturally with the telemetry archive workflow.
How it works
- 1A morning schedule triggers the digest.
- 2A BigQuery query returns the prior day's flagged anomalies.
- 3A logic step groups and ranks them by site, system, and severity.
- 4An OpenAI step turns the grouped data into a clear, prioritized briefing.
- 5The briefing is posted to the MS Teams facilities channel.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Microsoft TeamsChannels, chats, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, 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.
Run this workflow in your colony.
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