INVOICE PROCESSING

Verify each new Dropbox invoice against Stripe on upload

When a vendor invoice lands in Dropbox, it extracts the amount and vendor, checks whether a matching Stripe payment exists, and tags the invoice as paid, unpaid…

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew invoice file in Dropbox AP folderDropboxDropbox
  • ActionExtract vendor, number, and amount with OpenAIOpenAI
  • ActionQuery Stripe for matching outbound paymentStripeStripe
  • LogicClassify as paid, unpaid, or amount mismatch
  • ActionWrite status and fields to PostgresPostgreSQLPostgres
  • OutputFlag mismatches and unpaid to SlackSlack

What it does

Reacts the moment an invoice is dropped into the Dropbox AP folder. It reads the invoice, pulls out vendor and total, and asks Stripe whether a payment for that vendor and amount has gone out. The invoice gets a clear status so you instantly know if it still needs paying or was already settled.

When to use it

Use it when invoices arrive ad hoc throughout the day and you want real-time payment status instead of waiting for a nightly batch. Good for AP teams who want to avoid double-paying or missing a bill.

How it works

  1. 1A new file in the Dropbox AP folder triggers the run.
  2. 2The flow downloads the file and uses OpenAI to extract vendor, invoice number, and amount.
  3. 3It queries Stripe for outbound payments to that vendor.
  4. 4A decision step classifies the invoice: paid (amount matches), unpaid (no payment), or mismatch (payment exists but amount differs).
  5. 5The status and extracted fields are written to a Postgres invoices table.
  6. 6Mismatches and unpaid invoices are flagged to the AP channel for action.

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 PostgresAny Postgres URL — query, write, migrate.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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