INVOICE PROCESSING

Ingest Emailed Vendor Statements and Flag Untracked Charges

Triggers when a vendor statement PDF arrives by email, extracts its line items, checks each against recorded invoices in Postgres.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVendor statement email receivedGmailGmail
  • ActionExtract line items from PDF with OpenAIOpenAI
  • ActionQuery recorded invoices from PostgresPostgreSQLPostgres
  • LogicFind charges with no matching invoice
  • OutputReply to thread itemizing untracked chargesGmailGmail

What it does

Watches a shared AP inbox for incoming vendor statement attachments, reads the line items out of the PDF, and cross-checks every charge against your recorded invoices. Any statement line with no corresponding invoice on file is flagged as an untracked charge that needs investigation before payment.

When to use it

When vendors email statements ad hoc rather than on a fixed cycle, and you want reconciliation to happen the moment a statement lands instead of waiting for a batch job. Keeps the responding thread with the vendor so questions resolve in context.

How it works

  1. 1A new email matching the vendor-statement label/sender triggers the flow.
  2. 2The PDF attachment is parsed with OpenAI to extract structured line items (invoice number, date, amount, description).
  3. 3Postgres is queried for invoices on record for that vendor.
  4. 4A logic step finds statement charges with no matching recorded invoice.
  5. 5If untracked charges exist, a reply is sent to the original email thread (cc finance) itemizing them; otherwise the statement is marked reconciled.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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