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.
How it runs
The automated pipeline, trigger to output.
- TriggerDecision field set on review recordNotion
- ActionAgent writes outcome and audit note to registerAirtable
- ActionArchive review packet to cloud storageGoogle Drive
- OutputEmail requester the decision and next stepsGmail
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
- 1A decision field set to Approved, Rejected, or Conditional on the Notion record triggers the run.
- 2The flow reads the decision, reviewer, rationale, and any conditions.
- 3An agent writes the outcome and a timestamped audit note to the vendor's record in the approved-tools register.
- 4The full review packet is exported and archived to cloud storage for the retention period.
- 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.
- 1Connect NotionPages, databases, comments.
- 2Connect AirtableBases, tables, views, automations.
- 3Connect Google DriveDocs, sheets, slides, files.
- 4Connect GmailRead, draft, send, label.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
