FINANCE

Rev-Rec Exception Evidence Pack Builder for Auditors

After close locks, compiles the period's resolved and outstanding rev-rec exceptions from Snowflake and Stripe into a dated CSV evidence pack, archives it to S3.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPost-lock schedule
  • ActionQuery Snowflake exception log for the periodSnowflakeSnowflake
  • ActionEnrich rows with Stripe charge detailsStripeStripe
  • LogicAssemble dated CSV evidence pack
  • ActionArchive evidence pack to S3AWS S3
  • OutputNotify audit channel in Slack with link and countsSlack

What it does

Produces a permanent, dated audit-evidence pack of every revenue-recognition exception for the closed period, archives it durably, and tells the team where to find it.

When to use it

Use it right after the books lock, when you need defensible documentation of how unmapped Stripe charges were identified and resolved. It removes the scramble during the annual audit by capturing the evidence while the data is fresh.

How it works

  1. 1A schedule fires after the period is locked (for example, the first business day after close).
  2. 2The flow queries Snowflake for the period's exception log, including resolution status and who cleared each item.
  3. 3It enriches each row with the underlying Stripe charge details and final recognition treatment.
  4. 4A build step assembles a structured CSV evidence pack and names it by entity and period.
  5. 5The file is archived to an S3 bucket with retention metadata, and a Slack notice posts to the audit channel with the link and counts of resolved versus outstanding items.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect StripeCustomers, subscriptions, payments.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.