INVOICE PROCESSING

Monthly recurring-vendor spend-drift digest for finance review

On the first of each month, aggregates the prior month's vendor invoices from BigQuery, ranks recurring vendors by how far their spend drifted from their trailing average.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires on the first of the month
  • ActionAggregate prior-month vendor spend in BigQueryGoogle BigQueryBigQuery
  • LogicCompute and rank percent drift per vendor
  • ActionPublish ranked drift report to NotionNotionNotion
  • OutputPost digest link and top movers to SlackSlack

What it does

Gives finance a once-a-month view of which recurring vendors are quietly costing more than they used to. Instead of alerting on single invoices, it rolls up a full month and ranks vendors by spend drift, surfacing slow creep that per-invoice checks miss.

When to use it

Use this for the monthly close or vendor review meeting when you want a single artifact showing where recurring spend is trending up and which vendors deserve a renegotiation conversation. Complements real-time anomaly catchers with a strategic rollup.

How it works

  1. 1A schedule fires on the first of each month.
  2. 2The flow queries BigQuery to total each recurring vendor's spend for the prior month and their trailing-6-month average.
  3. 3A logic step computes percent drift and sorts vendors from largest increase to largest decrease.
  4. 4A formatted drift table is published as a new Notion page in the finance workspace.
  5. 5A Slack message links the report and calls out the top three vendors by upward drift.

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
    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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