INVOICE PROCESSING

Escalate Chronically Missing Vendor Invoices via PagerDuty

Tracks how long expected vendor invoices have been overdue to arrive and, once a gap crosses a critical aging threshold close to the payment cutoff, escalates to the on-call AP…

CategoryInvoice Processing
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule evaluates outstanding invoices
  • ActionQuery unreceived expected invoices and aging from PostgresPostgreSQLPostgres
  • LogicKeep only gaps past the critical aging threshold
  • ActionTrigger a PagerDuty incident per critical gapPagerDutyPagerDuty
  • OutputLog escalation to Postgres to dedupe future runsPostgreSQLPostgres

What it does

Goes beyond a one-time nudge: it ages every missing expected invoice and escalates when a gap becomes critical near the payment cutoff. Routine misses stay quiet, but a vendor invoice still absent days before cutoff triggers a PagerDuty incident routed to the responsible AP owner, ensuring high-value recurring obligations are not missed.

When to use it

Use it for critical recurring vendors where a missed payment has real consequences (payroll providers, rent, regulated services) and a Slack message alone is too easy to overlook.

How it works

  1. 1A daily schedule evaluates outstanding expected invoices.
  2. 2Query Postgres for expected invoices still unreceived and how many days each is overdue.
  3. 3Branch: keep only gaps that crossed the critical aging threshold relative to the payment cutoff.
  4. 4Trigger a PagerDuty incident for each critical gap with vendor, amount, and days overdue.
  5. 5Log the escalation back to Postgres to avoid duplicate incidents on the next run.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  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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