INVOICE PROCESSING

Mismatch-to-Monday Exception Board Builder

Webhook-triggered on each invoice submission, this validates the three-way match and creates a Monday.com item on the AP exceptions board for every mismatch.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerwebhook
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerInvoice submitted via inbound webhookHTTP webhook
  • ActionFetch matching PO and goods receipt from PostgresPostgreSQLPostgres
  • LogicDetect price, quantity, or receipt mismatch
  • OutputCreate assigned exception item on Monday boardmonday.com

What it does

Turns invoice mismatches into trackable work. When an invoice is submitted, it pulls the matching PO and receipt, checks them against the invoice, and for any discrepancy it creates a card on a Monday.com board with the exception type, dollar variance, owner, and an SLA due date so nothing slips.

When to use it

Use it when AP exceptions get lost in email threads and you want a single board showing every open mismatch, who owns it, and how long it has been waiting. Ideal for teams that already run their AP workflow visually in Monday.

How it works

  1. 1An invoice submission hits the inbound webhook with the invoice and PO reference.
  2. 2The flow fetches the PO and goods-receipt records from Postgres.
  3. 3A decision step evaluates price, quantity, and receipt presence; clean matches end the run quietly.
  4. 4For each exception it builds a typed payload (variance amount, expected vs actual, vendor).
  5. 5A Monday.com item is created on the AP Exceptions board with status, owner, and due date set from the exception type.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect monday.comVisual work management for teams.
  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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