INVOICE PROCESSING

Monthly Invoice Budget-Mapping Coverage Report to Notion

At month-end, computes what share of invoice spend was successfully mapped to GL budget categories versus left uncategorized, broken down by vendor and category.

CategoryInvoice Processing
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonth-end schedule
  • ActionQuery BigQuery for mapped vs. uncategorized totalsGoogle BigQueryBigQuery
  • ActionRank vendors and categories by unmapped spendGoogle BigQueryBigQuery
  • LogicCompute coverage % and month-over-month delta
  • OutputPublish coverage report page in NotionNotionNotion

What it does

Once a month this workflow measures the quality of your invoice-to-budget mapping: total spend, dollars and lines that mapped cleanly, what stayed uncategorized, and the worst offenders by vendor. It assembles the numbers into a formatted Notion page the controller can review at close.

When to use it

Use this for month-end close hygiene and to track whether your mapping rules and agent passes are actually improving coverage over time. It turns the categorized-spend tables into a digestible scorecard without manual SQL.

How it works

  1. 1A month-end schedule triggers the report.
  2. 2The flow queries BigQuery for the month's total spend, mapped totals, and uncategorized totals.
  3. 3A second query ranks vendors and GL categories by unmapped dollars.
  4. 4A logic step computes coverage percentages and the month-over-month delta.
  5. 5It composes a structured summary with headline coverage, breakdown tables, and the top gaps.
  6. 6The report is published as a new Notion page in the controller's close workspace.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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