FINANCE

Unexplained Anomaly SLA Escalator

Monitors open GL anomaly explanation tasks on Monday and, as the close lock deadline approaches, nudges overdue owners in Slack and escalates anything still unexplained…

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires hourly on final close days
  • ActionRead open anomaly tasks from Monday boardmonday.com
  • LogicBucket into approaching-due, overdue, past-cutoff
  • ActionNudge owners of due and overdue tasks in SlackSlack
  • ActionEscalate past-cutoff items via PagerDuty incidentPagerDutyPagerDuty
  • OutputUpdate standing close-status line in SlackSlack

What it does

This workflow enforces the explanation SLA. It reads the open anomaly tasks on the Monday close board, checks each against its due time relative to the lock deadline, and applies a tiered response: a friendly Slack nudge to the owner when a task is approaching due, and a PagerDuty escalation to the close manager for anything still missing an explanation at the hard cutoff.

When to use it

Use it on the final day or two of close when unexplained variances directly threaten on-time sign-off. Built for close managers who need overdue explanations surfaced loudly instead of discovered during the final review.

How it works

  1. 1A schedule fires every few hours on the last close days.
  2. 2A Monday query returns open anomaly explanation tasks with owners and due times.
  3. 3A logic step buckets tasks into approaching-due, overdue, and past-cutoff.
  4. 4Approaching-due and overdue owners get a direct nudge in Slack.
  5. 5Past-cutoff unexplained items trigger a PagerDuty incident to the close manager.
  6. 6A standing status line in Slack is updated with counts per bucket.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect monday.comVisual work management for teams.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  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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