INVOICE PROCESSING

Block duplicate Stripe payouts before they send

When a new vendor invoice is queued for payment in Stripe, cross-check it against your paid-invoice history in Postgres and halt any payout that matches an already-paid invoice.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew pending payout created in StripeStripeStripe
  • ActionQuery paid-invoice history in PostgresPostgreSQLPostgres
  • LogicMatch on vendor + amount + invoice number
  • ActionCancel the Stripe payout if duplicateStripeStripe
  • OutputAlert AP team in Slack with both recordsSlack

What it does

Intercepts every outgoing vendor payment in Stripe and compares it against your ledger of previously paid invoices before the money leaves your account. If it finds a match on vendor, amount, and invoice number, it cancels the pending payout and alerts your finance team instead of paying twice.

When to use it

Use this when AP processes high invoice volume and the same bill occasionally arrives through multiple channels (email, portal, paper) and gets entered twice. It is the safety net for the moment right before funds move.

How it works

  1. 1A pending payout is created in Stripe, firing the trigger.
  2. 2The flow pulls the invoice metadata (vendor ID, amount, invoice number, date).
  3. 3It queries the Postgres paid-history table for a matching record.
  4. 4A logic branch decides: clean invoice continues, suspected duplicate is flagged.
  5. 5On a match, the Stripe payout is canceled so no money sends.
  6. 6A Slack alert posts to the AP channel with both invoice records side by side for a human to resolve.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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