INVOICE PROCESSING

Flag Recurring Vendor Bills With Unexpected Quantity Jumps

On a schedule, this reads newly received vendor invoices from Postgres, compares quantities and totals to the same vendor's prior invoice.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule
  • ActionQuery new invoices and prior-period match in PostgresPostgreSQLPostgres
  • LogicCompute per-line and total deltas by vendor
  • LogicFilter to invoices exceeding growth threshold
  • OutputEmail AP the creep review digestGmailGmail

What it does

It scans your accounts-payable invoice table for bills entered since the last run, looks up each vendor's previous invoice for the same service, and computes period-over-period changes in quantity, unit price, and total. Anything that grew beyond tolerance is collected into a digest for the AP team.

When to use it

Use this for recurring operational spend like SaaS, utilities, logistics, or staffing where line counts should be stable month to month. It surfaces creeping overages and rate changes before they're approved for payment.

How it works

  1. 1A daily schedule triggers the audit.
  2. 2A Postgres query pulls invoices ingested since the prior run plus each vendor's previous invoice.
  3. 3A comparison step computes per-line and total deltas grouped by vendor.
  4. 4A filter keeps only invoices with growth above the configured threshold.
  5. 5A formatting step builds a readable per-vendor breakdown of what changed.
  6. 6Gmail sends the review digest to the AP distribution list.

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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