INVOICE PROCESSING

Agent That Chases Down Missing Goods-Receipt Records for Stuck Invoices

For invoices blocked only because no goods-receipt record exists, an agent investigates the order, contacts the receiving owner.

CategoryInvoice Processing
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerInvoice flagged missing goods receiptAirtableAirtable
  • ActionAgent reviews PO and delivery history
  • ActionAsk receiving owner to confirm delivery in SlackSlack
  • LogicDecide: create receipt or recommend hold
  • OutputUpdate match status and notes in AirtableAirtableAirtable

What it does

Handles the most common three-way-match blocker: an invoice and PO that line up, but no goods-receipt confirmation on file. An agent investigates whether the goods actually arrived by checking related records and reaching out to the receiving owner, then either records the receipt so the match can complete or recommends holding the invoice with a documented reason.

When to use it

Use this when a large share of your exceptions are simply missing receipts rather than true price or quantity disputes. It offloads the back-and-forth of confirming deliveries so AP staff only handle real discrepancies.

How it works

  1. 1An Airtable invoice flagged Exception with reason "missing goods receipt" triggers the flow.
  2. 2The agent reviews the PO, delivery dates, and any partial-receipt history to judge whether goods likely arrived.
  3. 3It posts a targeted question to the receiving owner in Slack asking for confirmation or a delivery date.
  4. 4Based on the reply, the agent creates the goods-receipt record in Airtable or marks the invoice for hold with its reasoning.
  5. 5The match status and the agent's notes are written back so the three-way match can re-run or close.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  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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