INVOICE PROCESSING

Flag Missing Expected Vendor Invoices Before the Payment Run

Each day, checks recurring vendors against their expected billing cadence and alerts AP in Slack when an invoice that should have arrived is missing.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires each morning
  • ActionQuery recurring vendors and expected dates from PostgresPostgreSQLPostgres
  • ActionLook up received invoices per vendorPostgreSQLPostgres
  • LogicKeep vendors past their expected window with no invoice
  • OutputPost grouped missing-invoice alert to AP Slack channelSlack

What it does

Watches your roster of recurring vendors (rent, SaaS, utilities, retainers) and detects when an expected invoice has not arrived within its normal billing window. It posts a clear Slack alert to the AP channel listing each overdue-to-arrive vendor, the expected amount, and how many days past the usual date it is — so nothing silently slips through the payment run.

When to use it

Use it when you pay the same vendors on a predictable cadence (monthly, quarterly) and a missing invoice means either a billing error, a lost email, or a service lapse you need to catch early. Best for AP teams running scheduled payment batches.

How it works

  1. 1A daily schedule fires the workflow each morning.
  2. 2Query Postgres for active recurring vendors and their expected next-invoice date and amount.
  3. 3Cross-check received invoices against each vendor's cadence window.
  4. 4Branch: keep only vendors whose expected invoice is past due and not yet received.
  5. 5Post a grouped alert to the AP Slack channel with vendor, expected amount, and days overdue.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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