DOCUMENT OPS
Version the sub-processor register in Confluence on each vendor change
When a vendor's sub-processor email or page update arrives via webhook, an agent classifies the DPA impact, updates the canonical sub-processor register page in Confluence.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook receives normalized vendor change payloadHTTP webhook
- ActionAgent rates DPA impact and drafts register wordingOpenAI
- LogicRoute objection-eligible changes to the stricter path
- ActionUpdate Confluence register and append dated changelogConfluence
- OutputReturn the new versioned page linkConfluence
What it does
Keeps your authoritative sub-processor register in Confluence current and auditable. Each inbound change is assessed for DPA materiality, the register page is edited in place, and a timestamped changelog row records who changed, what, and the impact rating — so an auditor can reconstruct the register at any past date.
When to use it
Use it when your privacy register lives in Confluence and you must show version history for SOC 2 or GDPR audits. Best when vendor notices arrive through a normalized channel (a parser, a form, or a forwarding webhook) rather than ad hoc.
How it works
- 1A webhook receives a normalized vendor change payload (vendor, added, removed, source URL).
- 2An agent reasons over the change to assign a DPA impact rating (none / notify / objection-eligible) and drafts register wording.
- 3A logic step routes objection-eligible changes onto a stricter path that requires the impact note.
- 4The agent fetches the current Confluence register page, appends a dated changelog entry, and updates the live entity list.
- 5Confluence's native page history preserves the prior version automatically, and the new version link is returned as the output.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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