INVOICE PROCESSING

Nightly Sweep of Recurring Vendor Charges Against Expected Amounts

Runs every night to scan the day's posted recurring invoices in Postgres, compares each to its expected contract amount.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule
  • ActionQuery posted recurring invoices vs expected amountsPostgreSQLPostgres
  • LogicFilter to charges outside allowed band
  • ActionWrite flagged charges to review tablePostgreSQLPostgres
  • OutputEmail daily drift digest to financeGmailGmail

What it does

Each night this flow reviews all recurring vendor charges that posted in the last 24 hours. It joins each charge to its expected amount (from your contracts table) and flags any that fall outside an allowed band. Instead of one alert per charge, it batches everything into a single digest email so finance reviews drift once a day.

When to use it

Use it when you have many recurring vendors and want a calm, scheduled review rather than real-time pings. It is ideal for catching slow creep — small monthly increases that individually look harmless but add up across dozens of subscriptions.

How it works

  1. 1A nightly schedule triggers the run.
  2. 2A Postgres query selects recurring invoices posted in the last day and joins each to its expected contract amount.
  3. 3A logic step keeps only charges where the variance exceeds the allowed band, classifying each as over, under, or new vendor.
  4. 4The flow writes the flagged set to a review table with status `pending`.
  5. 5If the flagged list is empty, the run ends.
  6. 6Otherwise an email digest goes to finance summarizing total drift, each offending vendor, and the variance amount.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect GmailRead, draft, send, label.
  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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