INVOICE PROCESSING

Detect Duplicate Billings Across Vendor Statements

On a schedule, scans incoming vendor statement line items against recorded invoices in Postgres to find charges billed more than once.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerStatement intake schedule fires
  • ActionLoad vendor statement line items
  • ActionQuery recorded invoices and payment statusPostgreSQLPostgres
  • LogicFlag duplicate and re-billed charges
  • LogicFilter to suspected duplicates only
  • OutputOpen a Linear issue per duplicateLinearLinear

What it does

Focuses on one specific failure mode: the same charge appearing twice. It compares statement line items against recorded invoices and against each other to detect duplicate invoice numbers, repeated identical amounts on the same date, and re-billing of invoices already marked paid, so duplicates are caught before money goes out.

When to use it

When a vendor's statements occasionally re-list charges that were already invoiced or paid, and you want a hard gate that surfaces suspected duplicates as tracked work items rather than a digest someone might skim past.

How it works

  1. 1A schedule fires on the statement intake cadence.
  2. 2Statement line items for the period are loaded.
  3. 3Postgres is queried for recorded invoices and their payment status.
  4. 4A detection step flags duplicate invoice numbers, same-amount/same-date repeats, and re-billings of already-paid invoices.
  5. 5A filter keeps only suspected duplicates.
  6. 6A Linear issue is opened per duplicate with the matching evidence so AP can hold the charge and resolve it.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  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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