IT OPS

Agent-Driven Idle Seat Triage and Deprovision Brief

An agent reviews flagged idle SaaS seats, cross-checks usage signals and role context, drafts a deprovision recommendation per seat.

CategoryIT Ops
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule starts the triage run
  • ActionPull idle-seat candidates and usage signals from PostgresPostgreSQLPostgres
  • LogicAgent reasons per seat: reclaim, warn, or keep
  • ActionRecord recommendations and rationale to NotionNotionNotion
  • ActionPost ranked triage brief with approve buttons to SlackSlack
  • OutputLog approved decisions back to PostgresPostgreSQLPostgres

What it does

Instead of treating every idle seat the same, an agent inspects each flagged account, weighs signals like last login, role, recent project assignments, and seat cost, then writes a per-seat recommendation: reclaim now, warn first, or keep with reason. It posts a triaged brief to Slack so IT approves judgment calls, not raw spreadsheets.

When to use it

Use it when blunt threshold rules produce too many false positives, executives, contractors, and seasonal staff who look idle but shouldn't be cut. The agent adds the context a static filter misses.

How it works

  1. 1A weekly schedule starts the triage run.
  2. 2Pull the current idle-seat candidate list and usage signals from Postgres.
  3. 3The agent reviews each seat, reasons over the signals, and drafts a reclaim, warn, or keep recommendation with rationale.
  4. 4Record each recommendation and its rationale to a Notion review page.
  5. 5Post the ranked triage brief to Slack with per-seat approve buttons.
  6. 6On approval, log the decision back to Postgres for the audit trail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect NotionPages, databases, comments.
  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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