FINANCE

Multi-Processor Reconciliation Workpaper Archive

Nightly, assembles a reconciliation workpaper combining Stripe settlements and Snowflake ledger detail, writes it as a dated CSV to Google Drive.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly post-cutoff schedule
  • ActionRetrieve Stripe settlement detailStripeStripe
  • ActionPull matching ledger entries from SnowflakeSnowflakeSnowflake
  • LogicJoin sources into reconciled workpaper rows
  • ActionWrite dated CSV to Google DriveGoogle DriveGoogle Drive
  • OutputPost workpaper link to SlackSlack

What it does

Builds and files the daily reconciliation workpaper your auditors ask for. It joins processor settlement detail with ledger entries into one matched, dated file and stores it in a structured Google Drive folder so close support is always one click away.

When to use it

Use this when your audit trail for cash reconciliation lives in ad-hoc exports and someone's downloads folder. It gives you a consistent, timestamped paper trail without manual exporting and uploading every night.

How it works

A nightly scheduled trigger fires after settlement cutoff. An action retrieves the day's Stripe balance transactions and payout detail. A Snowflake query pulls matching ledger entries. A logic step joins the two sources into a reconciled row set, tagging each line as matched or open. An action writes the result as a dated CSV into the month's Google Drive folder. A final output posts the file link plus a one-line summary (rows matched, rows open) to Slack for the close team.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  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.

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