IT OPS

HVAC Anomaly Detection to Severity-Routed Work Orders

Ingests building HVAC telemetry via webhook, flags out-of-band temperature, pressure, or runtime readings.

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerReceive HVAC telemetry payloadHTTP webhook
  • LogicClassify reading: normal / warning / critical
  • LogicDrop normal readings, continue anomalies
  • ActionCreate severity-tagged Monday work ordermonday.com
  • OutputAlert facilities on-call in SlackSlack

What it does

This workflow turns raw HVAC sensor readings into actionable maintenance work. It receives telemetry pushed from your building management system, evaluates each reading against your thresholds for supply temperature, static pressure, and compressor runtime, and decides whether a reading is normal, a warning, or critical. Anomalies become Monday work orders tagged with the right severity, and the on-call team gets a Slack alert so nothing waits in a queue unseen.

When to use it

Use it when your BMS or sensor gateway can POST readings but has no logic to escalate them — you want a single place that decides what is worth a technician's time and who gets paged for what. Ideal for facilities teams running multiple rooftop units or air handlers across one or more sites.

How it works

  1. 1The webhook receives a telemetry payload (unit ID, metric, value, timestamp).
  2. 2A logic step compares each metric to its configured normal band and classifies the reading as normal, warning, or critical.
  3. 3Normal readings stop here; warnings and criticals continue.
  4. 4A Monday item is created in the maintenance board with severity, unit, and the offending metric.
  5. 5A Slack message posts to the facilities on-call channel with the work order link and severity.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect monday.comVisual work management for teams.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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.

Run this workflow in your colony.

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