DOCUMENT OPS

Nightly Batch Sweep of Unvalidated Signed PDFs

Runs on a nightly schedule to validate every signed PDF that arrived during the day, then logs results to Airtable and emails a single digest of all incomplete documents.

CategoryDocument Ops
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires
  • ActionList PDFs added to Dropbox since last runDropboxDropbox
  • ActionValidate each PDF for initials, blocks, and page orderOpenAI
  • LogicSeparate clean from defective and build digest
  • ActionWrite all results to Airtable trackerAirtableAirtable
  • OutputEmail a single digest of incomplete documentsGmailGmail

What it does

Instead of validating one file at a time, this workflow processes the whole day's intake in one nightly pass. It validates each signed PDF for completeness, records results, and sends operations a single morning digest listing every document that still needs work.

When to use it

Use it for higher-volume teams that prefer one consolidated review queue over per-document pings. It keeps inboxes quiet during the day and hands reviewers a tidy, prioritized list each morning.

How it works

  1. 1A nightly schedule triggers the sweep.
  2. 2The workflow lists all PDFs added to the Dropbox intake folder since the last run.
  3. 3Each file is analyzed by OpenAI for missing initials, blank signature blocks, and page-order breaks.
  4. 4A logic step separates clean documents from those with defects and assembles the defect summary.
  5. 5Every result is written to an Airtable tracker, and a single Gmail digest of all incomplete documents is emailed to the review team.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  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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