INVOICE PROCESSING

Draft a vendor dispute email for invoices that breach the rate card

When an invoice is flagged as over the negotiated rate, an agent assembles the contract evidence and drafts a professional dispute email back to the vendor.

CategoryInvoice Processing
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFlagged-invoice webhook receivedHTTP webhook
  • ActionRetrieve rate card and invoice detailsSnowflakeSnowflake
  • LogicCompute overage and affected period
  • ActionDraft vendor dispute email with evidenceOpenAI
  • OutputStage dispute as Gmail draft for approvalGmailGmail

What it does

This workflow turns a detected overcharge into a ready-to-send vendor dispute. Given a flagged invoice, an agent gathers the negotiated terms, calculates the exact overage, and writes a clear, polite email citing the agreed rate and the contract clause, attaching the math. It logs the dispute as a tracked case so nothing falls through.

When to use it

Use this when your team detects overcharges but loses recovery dollars because nobody writes the follow-up. It's for AP and procurement teams who want disputes drafted automatically with evidence, while keeping a human in the loop on the actual send.

How it works

  1. 1An incoming flagged-invoice signal arrives by webhook and triggers the run.
  2. 2The agent retrieves the vendor's negotiated rate card and the original invoice details.
  3. 3It computes the overage amount and the billing period affected.
  4. 4It drafts a dispute email referencing the agreed rate, the variance, and the relevant clause.
  5. 5The draft and a tracked case record are saved, and the email is staged in Gmail as a draft for a human to review and send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect GmailRead, draft, send, label.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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