INVOICE PROCESSING

Draft Vendor Dispute Notes for Statement Discrepancies

An agent reviews reconciliation gaps between a vendor statement and recorded invoices, researches each discrepancy in the ledger.

CategoryInvoice Processing
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerReconciliation produces unresolved gaps
  • ActionQuery full invoice history from PostgresPostgreSQLPostgres
  • LogicCategorize each gap and choose a resolution
  • LogicCompose per-vendor dispute note
  • OutputCreate dispute note in NotionNotionNotion

What it does

Takes the raw gaps from a statement reconciliation and turns them into something AP can act on: for each discrepancy the agent investigates the underlying invoice history, decides whether it looks like a vendor error, a timing difference, or a genuine missing invoice, and writes a clear dispute note with a recommended next step.

When to use it

When reconciliation already surfaces gaps but a human still has to spend hours figuring out which ones are real and what to say to the vendor. Use it to pre-draft disputes so AP only reviews and sends.

How it works

  1. 1Triggered when a reconciliation run produces unresolved discrepancies.
  2. 2The agent reads each flagged line item and queries Postgres for that invoice's full history (amounts, dates, payment status).
  3. 3It reasons over the evidence to categorize the gap and pick a recommended resolution.
  4. 4For each vendor it composes a dispute note explaining the discrepancy and the recommended action.
  5. 5The note is created as a Notion page in the AP disputes database for human review and send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect NotionPages, databases, comments.
  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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