AI AGENTS

Record the security decision and notify the requester

When a reviewer logs an approve, reject, or conditional decision, it writes the outcome to the system of record, archives the evidence packet.

CategoryAI Agents
EngineSim + Paperclip
Difficultyintermediate
Triggerevent
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDecision field set on review recordNotionNotion
  • ActionAgent writes outcome and audit note to registerAirtableAirtable
  • ActionArchive review packet to cloud storageGoogle DriveGoogle Drive
  • OutputEmail requester the decision and next stepsGmailGmail

What it does

Closes the loop on a completed security review. It captures the final decision and rationale, stamps the vendor's permanent record, files the supporting packet to durable storage, and tells the requester what happens next in plain language.

When to use it

When decisions get made in a meeting or a comment thread but never get recorded consistently, and requesters are left wondering whether they can buy the tool. Use it to make every outcome auditable and communicated the same way.

How it works

  1. 1A decision field set to Approved, Rejected, or Conditional on the Notion record triggers the run.
  2. 2The flow reads the decision, reviewer, rationale, and any conditions.
  3. 3An agent writes the outcome and a timestamped audit note to the vendor's record in the approved-tools register.
  4. 4The full review packet is exported and archived to cloud storage for the retention period.
  5. 5A decision email is sent to the original requester explaining the outcome, conditions, and next steps.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  4. 4
    Connect GmailRead, draft, send, label.
  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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