IT OPS

Agent-driven full access discovery and revocation

An agent investigates everywhere a departed employee still has access across connected systems, decides what to revoke versus reassign, executes the changes.

CategoryIT Ops
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator starts offboarding for an employee
  • ActionMap GitHub access and ownershipGitHubGitHub
  • ActionDiscover Google Drive footprintGoogle DriveGoogle Drive
  • LogicDecide revoke vs reassign per item
  • ActionDeactivate Slack accountSlack
  • OutputWrite offboarding report to NotionNotionNotion

What it does

Deploys an agent to do the judgment-heavy part of offboarding. Given a departed employee, it discovers their footprint across Slack, GitHub, and Google Drive, reasons about what to revoke outright versus reassign to a teammate, carries out the actions, and writes a narrative offboarding report.

When to use it

Use it for senior or cross-functional departures where access is tangled across owned repos, shared docs, and channel ownerships, and a flat checklist would miss context. The agent handles ambiguity a deterministic pipeline cannot.

How it works

  1. 1An operator starts the offboarding for a named employee.
  2. 2The agent queries GitHub to map repos, teams, and ownership the person holds.
  3. 3The agent queries Google Drive to find owned and shared documents.
  4. 4It reasons per item whether to revoke, transfer, or escalate, then executes revocations and ownership transfers.
  5. 5It deactivates the Slack account once dependencies are reassigned.
  6. 6It compiles a full offboarding report in Notion covering every decision and action for the audit trail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect Google DriveDocs, sheets, slides, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect NotionPages, databases, comments.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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