INVOICE PROCESSING

Quarterly Recurring-Spend Creep Report Across All Vendors

Once a quarter, aggregates every recurring vendor's invoice history from Postgres, calculates each vendor's cumulative price drift versus the start of the year.

CategoryInvoice Processing
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule
  • ActionPull full vendor invoice historyPostgreSQLPostgres
  • LogicCompute cumulative drift and rank vendors
  • ActionCreate ranked Notion reportNotionNotion
  • OutputLink report in finance Slack channelSlack

What it does

Individual increases are easy to wave through; the damage shows up in aggregate. This workflow runs quarterly, reads the full invoice history for every recurring vendor from Postgres, and computes how much each vendor's pricing has crept since the baseline period. It ranks vendors by total annualized increase and writes a clean report to Notion so finance can see exactly where recurring spend is silently compounding.

When to use it

Use this for a recurring finance review when you want one consolidated view of price drift across your entire vendor base rather than per-invoice alerts.

How it works

  1. 1A quarterly schedule triggers the run.
  2. 2A Postgres step pulls every vendor's invoice history since the year's baseline.
  3. 3A logic step computes each vendor's cumulative percent drift and annualized dollar impact.
  4. 4The flow ranks vendors from largest to smallest creep.
  5. 5A Notion page is created with the ranked table and total annualized increase.
  6. 6A Slack message links the report to the finance channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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