FINANCE

Stripe Dispute Evidence Archive Builder

After a dispute is submitted, this workflow compiles every supporting document into a single dated folder in Dropbox and links it from the dispute record for audit and re-use.

CategoryFinance
Enginesim
Difficultybeginner
Triggerwebhook
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerStripe evidence-submitted eventStripeStripe
  • ActionRead artifact references from Airtable recordAirtableAirtable
  • ActionCreate dated charge-named Dropbox folderDropboxDropbox
  • ActionCopy all evidence documents into folderDropboxDropbox
  • OutputWrite archive link back to Airtable recordAirtableAirtable

What it does

Creates a permanent, audit-ready archive for each submitted dispute. It collects the receipt, shipping proof, customer communications, and the submitted evidence text, drops them into a single date-and-charge-named Dropbox folder, and links that folder back to the dispute record so anyone can retrieve the full packet later.

When to use it

Use it when banks or processors may re-open disputes, when you face acquirer compliance audits, or when you simply want one canonical location per dispute instead of artifacts scattered across tools. Pairs naturally with the auto-assembler that handles the actual submission.

How it works

  1. 1A Stripe dispute evidence-submitted event (or a webhook on submission) triggers the flow.
  2. 2It reads the dispute record from Airtable to gather references to every associated artifact.
  3. 3It creates a new Dropbox folder named by submission date and charge ID.
  4. 4It copies the receipt, shipping documents, communications, and the submitted narrative into that folder.
  5. 5It writes the shareable archive folder link back to the Airtable dispute record for audit traceability.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect DropboxFiles and folders.
  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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