INVOICE PROCESSING

Vendor Invoice OCR to Stripe with Slack Approval Gate

Watches a Dropbox folder for new vendor invoice PDFs, extracts line items and totals with OpenAI vision.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew invoice PDF in Dropbox folderDropboxDropbox
  • ActionExtract invoice fields with OpenAI visionOpenAI
  • LogicBranch: total above auto-approve threshold?
  • ActionPost approval card to Slack and waitSlack
  • ActionCreate vendor payment in StripeStripeStripe
  • OutputConfirm payment ID in Slack threadSlack

What it does

Turns a shared Dropbox "incoming invoices" folder into a controlled accounts-payable pipeline. Every PDF that lands is OCR'd into structured fields, and a human approves spend above a set limit before any money moves.

When to use it

Use this when vendors email or drop PDF invoices and your finance team manually keys them into the payment system. It removes the typing while keeping a human approval gate on large amounts, so nothing pays out automatically by mistake.

How it works

  1. 1A new file appears in the watched Dropbox folder and triggers the run.
  2. 2OpenAI reads the PDF and extracts vendor, invoice number, due date, line items, and total.
  3. 3A logic step checks the total against your auto-approve threshold.
  4. 4If it exceeds the threshold, a Slack message posts the parsed invoice with Approve and Reject buttons and waits.
  5. 5On approval (or if under threshold), Stripe creates the payment to the vendor.
  6. 6A confirmation with the Stripe payment ID is posted back to the Slack thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect StripeCustomers, subscriptions, payments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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