FINANCE

Draft accrual journal entries from unbilled vendor POs

On a month-end schedule, pulls open purchase orders with no matching invoice from Snowflake, estimates the unbilled amount for each.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonth-end close date reached
  • ActionQuery open unbilled POs from SnowflakeSnowflakeSnowflake
  • LogicCompute accrual and drop immaterial lines
  • ActionWrite draft journal entries to Airtable queueAirtableAirtable
  • OutputPost accrual summary to finance SlackSlack

What it does

At period close, this workflow finds vendor purchase orders that have been received but not yet invoiced, calculates the accrual owed for each, and produces draft debit/credit journal entries staged for human approval — turning a manual reconciliation into a reviewed worklist.

When to use it

Run it during the month-end close window when AP hasn't received all vendor invoices yet but the expense belongs to the closing period. Ideal for finance teams who accrue against open POs and want a defensible, auditable draft instead of a hand-built spreadsheet.

How it works

  1. 1A scheduled trigger fires on the close calendar date.
  2. 2Query Snowflake for open POs where received quantity exceeds invoiced quantity, joining PO lines to GL account mappings.
  3. 3A logic step computes accrual = (received - invoiced) x unit cost and filters out lines under the materiality threshold.
  4. 4Build a balanced journal entry per cost center (debit expense, credit accrued liabilities).
  5. 5Write each draft entry to an Airtable review table with status "Pending".
  6. 6Post a summary of total accrued value and entry count to the finance Slack channel for the controller to action.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect AirtableBases, tables, views, automations.
  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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