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AI agent for cloud architects

Cloud Resource Tagging and Ownership Agent

Every resource in scope carries the required tags and a confirmed owner, at or above the coverage target

Cloud Resource Tagging and Ownership Agent: what goes in, what the agent does and what you get

What it does

Cost reports are only as good as the tags on the resources, and most accounts have thousands of items with no owner. This agent scans each account for resources missing the required tags, then works out who probably owns each one. It reads deployment history, naming patterns, the creating user and the project the resource sits next to. It drafts the missing tags, asks the likely owner to confirm, and applies nothing until approved. After tags are applied it scans again to confirm they stuck, since some automation strips them. Resources whose owner cannot be found are grouped into a list for the team to decide on. Edge case: a database named like a test system but linked to a production app is flagged as uncertain, not guessed.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueNoNo 1 STARTS WHEN Scheduled scan starts 2 USES A TOOL List resources in each account and check against thetag policy 3 USES A TOOL Read deployment history, creator and naming patternsfor untagged items 4 DOES Infer a likely owner and draft the missing tags 5 CHECKS THE RESULT Do at least two signals agree on the owner? If not: look at neighboring resources and the pipeline,otherwise move the item to the uncertain list. Back tostep 3. 6 USES A TOOL Ask each likely owner to confirm or correct 7 YOU APPROVE Platform lead approves the bulk tag change 8 USES A TOOL Apply tags after approval 9 CHECKS THE RESULT Did the tags persist on a re-scan? If not: find the automation that removes them and reportit, then rescan. Back to step 2. 10 RESULT Coverage report and uncertain list
Read the steps as a list
  1. Scheduled scan starts
  2. List resources in each account and check against the tag policy
  3. Read deployment history, creator and naming patterns for untagged items
  4. Infer a likely owner and draft the missing tags
  5. Do at least two signals agree on the owner?If not: look at neighboring resources and the pipeline, otherwise move the item to the uncertain list. Back to step 3.
  6. Ask each likely owner to confirm or correct
  7. Platform lead approves the bulk tag changeThe agent waits here for your OK.
  8. Apply tags after approval
  9. Did the tags persist on a re-scan?If not: find the automation that removes them and report it, then rescan. Back to step 2.
  10. Coverage report and uncertain list

How it decides

An owner is proposed only when two independent signals agree, such as the creator and the deployment pipeline. A single weak signal goes to the uncertain list.

  • Propose an owner only when 2 or more signals agree
  • Skip any resource tagged do-not-touch
  • Group resources with no owner after 14 days into a cleanup list
  • Report coverage by account so gaps are visible

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Required tag keys (default owner, team, environment, cost-center)
  • Coverage target (default 95 percent)
  • Accounts in scope
  • Days to wait for an owner reply (default 14)

What keeps you in control

It always asks you first

  • Applying bulk tag changes
  • Any proposed shutdown of an ownerless resource

Hard limits

  • Never deletes or stops a resource
  • Never writes tags outside the approved list

It stops when

  • Done: coverage reaches the target and all changes are confirmed
  • Stop: the inventory call fails or returns partial data

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensThe scan found 1,240 untagged resources out of 6,100 in the staging account. The agent proposed owners for 1,010 using creator and pipeline agreement and listed 230 as uncertain. After approval it applied the tags, but the re-scan showed 85 had lost them. It traced this to a nightly cleanup script, reported it to the platform team, and reapplied once the script was fixed. Coverage rose from 80 to 97 percent.

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