CHATBOTS

Weekly Warehouse Grant Audit Digest to Notion

Compiles a weekly snapshot of the access ledger — new grants, active grants, upcoming expiries, and any grant lacking a recorded approver.

CategoryChatbots
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule triggers the digest
  • ActionQuery ledger for new, active, expiring, and unapproved grantsPostgreSQLPostgres
  • LogicAssemble sections and compute summary counts
  • ActionWrite dated audit page with tables to NotionNotionNotion
  • OutputPost summary and Notion link to governance SlackSlack

What it does

Gives the data-governance team a recurring, readable view of warehouse access state. Once a week it reads the grant ledger, computes what changed and what's at risk, and publishes a structured Notion page (with tables) alongside a short Slack summary. It surfaces anomalies like grants with no approver on record or grants past their expiry that weren't revoked.

When to use it

Use it when you have a grant ledger but no regular reporting on it, so drift goes unnoticed between formal access reviews. The weekly digest catches unapproved or stale access early and creates a dated paper trail of access posture over time.

How it works

  1. 1A weekly schedule triggers the digest.
  2. 2The flow queries the Postgres ledger for grants created this week, all active grants, expiries due in the next 7 days, and grants missing an approver.
  3. 3It assembles these into sections with summary counts.
  4. 4It writes a dated audit page with tables to Notion.
  5. 5It posts a concise summary plus the Notion link to the governance Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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