INVOICE PROCESSING

Detect recurring vendors that missed their expected invoice cadence

Runs daily, checks each recurring vendor's expected billing date in BigQuery, and alerts when a vendor that should have invoiced by now hasn't.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily cadence check schedule
  • ActionQuery expected vendor invoice datesGoogle BigQueryBigQuery
  • LogicFilter vendors past expected date
  • ActionEstimate accrual from trailing averageGoogle BigQueryBigQuery
  • OutputPost overdue-vendor digestSlack

What it does

Inverts the usual anomaly check: instead of catching a charge that is too high, it catches the absence of an expected charge. Every day it compares each recurring vendor's expected next-invoice date against what has actually arrived, and surfaces vendors that are overdue to bill.

When to use it

Use this when a missing invoice creates real risk: a service that auto-suspends on non-payment, a vendor that batches several months into one shock bill, or an accrual you need to book on time. It keeps your AP calendar honest.

How it works

  1. 1A daily schedule starts the run each morning.
  2. 2The flow queries BigQuery for every active recurring vendor and its expected invoice date and typical cadence.
  3. 3A branch isolates vendors whose expected date has passed with no matching invoice recorded.
  4. 4For each overdue vendor it estimates the likely accrual amount from the trailing average.
  5. 5A consolidated digest of overdue vendors and estimated accruals is posted to the AP Slack channel for follow-up.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  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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