DOCUMENT OPS

Quarterly Retention Audit Report Across the Signed-Doc Vault

On a quarterly schedule, inventories every contract in the Dropbox vault, summarizes counts by retention status into a Notion audit page.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule fires
  • ActionList vault documents and pull retention registerAirtableAirtable
  • LogicBucket files by status and tally counts
  • ActionDraft audit narrative from talliesOpenAI
  • ActionWrite dated audit page in NotionNotionNotion
  • OutputEmail compliance report to stakeholdersGmailGmail

What it does

This workflow produces the evidence trail auditors ask for: a periodic snapshot of the entire signed-document vault broken down by retention status, plus a written summary of what is approaching expiry and what was eligible for purge. It documents that your retention policy is actually being enforced.

When to use it

Reach for this at quarter-end or before an external compliance review, when you need a single dated artifact showing the state of every retained document rather than ad-hoc spot checks.

How it works

A quarterly schedule lists all documents in the Dropbox vault and reads each one's metadata from the Airtable retention register. A logic step buckets every file into active, expiring-this-quarter, or past-retention and tallies the counts. OpenAI drafts a plain-language audit narrative from those tallies. The narrative and tables are written to a dated Notion audit page, then emailed to the compliance distribution list via Gmail as the formal record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect NotionPages, databases, comments.
  5. 5
    Connect GmailRead, draft, send, label.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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