DOCUMENT OPS

Quarterly SOC2 Evidence Pack Builder

On a quarterly schedule, pulls named control artifacts from Google Drive and Confluence, stamps each with a SHA-256 hash and collection timestamp, and writes a single indexed.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule fires at period close
  • ActionPull period-tagged artifacts from Google DriveGoogle DriveGoogle Drive
  • ActionExport referenced policy pages from ConfluenceConfluenceConfluence
  • LogicHash each artifact and build control-ID manifest
  • OutputUpload sealed, indexed bundle to S3 prefixAWS S3

What it does

Assembles a complete, audit-ready evidence bundle for a control period without anyone hand-collecting files. It gathers the artifacts your control matrix references, fingerprints each one so an auditor can prove it wasn't altered, and lands everything in one versioned S3 prefix with a manifest.

When to use it

Run it the first business day after each quarter closes, when your auditor asks for the period's evidence and you'd otherwise spend a day downloading files from Drive and exporting Confluence pages by hand.

How it works

  1. 1A quarterly schedule fires at period close.
  2. 2Searches Google Drive for files tagged or foldered for the current control period.
  3. 3Exports the referenced Confluence policy and procedure pages to PDF.
  4. 4Computes a SHA-256 hash and capture timestamp for every artifact, building a JSON manifest that maps each control ID to its files.
  5. 5Uploads the artifacts plus the manifest to a date-stamped, write-once S3 prefix as the sealed evidence pack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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