INVOICE PROCESSING

Vendor Dispute Letter Drafter for Match Variances

For invoices that fail three-way match on price or quantity, an agent drafts a vendor-ready dispute email citing the PO terms and receipt counts, queues it for AP sign-off.

CategoryInvoice Processing
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVendor-side variance flaggedPostgreSQLPostgres
  • ActionGather PO, receipt, and invoice linesPostgreSQLPostgres
  • LogicAgent drafts cited dispute email
  • ActionPost draft for AP sign-offSlack
  • ActionSend approved email to vendorGmailGmail
  • OutputRecord open dispute with follow-up datePostgreSQLPostgres

What it does

When the variance is the vendor's error, someone has to write the dispute. This agent reads the PO terms, the receiving record, and the invoice, then drafts a specific, professional dispute email that quotes the contracted price or received quantity and states the requested correction. AP reviews and sends with one click.

When to use it

Use it when match failures frequently trace back to vendor billing errors and your team spends time composing the same correction emails. It standardizes tone and makes sure every claim cites the supporting document.

How it works

  1. 1An invoice flagged as a vendor-side variance triggers the workflow.
  2. 2The agent gathers the PO, the goods-receipt record, and the invoice lines from Postgres.
  3. 3It reasons over which lines are wrong and drafts a dispute email with exact figures and references.
  4. 4The draft is posted to the AP channel in Slack for human sign-off.
  5. 5On approval the email is sent to the vendor contact via Gmail.
  6. 6The dispute is recorded as open in Postgres with a follow-up date.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect GmailRead, draft, send, label.
  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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