DOCUMENT OPS

Publish approved sub-processor changes to your own public list

When a privacy owner approves a sub-processor change, an agent updates your own customer-facing sub-processor page, emails subscribed customers the dated notice.

CategoryDocument Ops
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook fires on privacy-owner approvalHTTP webhook
  • ActionAgent composes public list update and customer noticeOpenAI
  • ActionUpdate the customer-facing sub-processor pageGoogle DriveGoogle Drive
  • ActionEmail the dated change notice to subscribersGmailGmail
  • OutputArchive an immutable snapshot of the published versionAWS S3

What it does

Closes the loop on the downstream side: once you adopt a sub-processor change, you must notify your own customers. This updates your public sub-processor list, sends the change notice to your subscriber list, and stores a tamper-evident copy of exactly what was published so you can prove what customers were told and when.

When to use it

Use it when you are a data processor who must notify customers of your sub-processor changes under your own DPA. Trigger it on an approval event so only ratified changes go public — never raw vendor diffs.

How it works

  1. 1A webhook fires on a privacy-owner approval, carrying the approved change set and effective date.
  2. 2An agent composes the public list update and the customer notice copy from the approved change.
  3. 3The flow updates the customer-facing sub-processor page document in Google Drive.
  4. 4It emails the dated change notice to the subscriber list via Gmail.
  5. 5A timestamped snapshot of the published page is archived to AWS S3 as immutable proof of notice.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  4. 4
    Connect GmailRead, draft, send, label.
  5. 5
    Connect AWS S3Buckets, objects, signed URLs.
  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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