FINANCE
Stripe Dispute Narrative Drafter Agent
An agent that reads the order, shipping, and communication history for a disputed charge and drafts a persuasive product-description and uncategorized-text rebuttal…
How it runs
The automated pipeline, trigger to output.
- TriggerStripe dispute.created webhookStripe
- ActionGather order timeline and email threadsAirtable
- ActionDraft reason-code rebuttal narrativeOpenAI
- LogicVerify draft cites concrete dates and tracking
- OutputWrite drafted evidence text to Airtable recordAirtable
What it does
The hardest part of a strong dispute response is the written rebuttal. This agent reviews the full context of a disputed charge, the order, the fulfillment timeline, and any customer correspondence, and drafts the free-text evidence fields Stripe accepts (product description, customer communication summary, and uncategorized rebuttal text) tailored to the dispute reason code.
When to use it
Use it when you win or lose disputes on the quality of the written argument, not just the documents. Good for merchants facing product_not_received or subscription_canceled reason codes where a clear, factual narrative tied to the timeline materially improves recovery rates.
How it works
- 1A Stripe dispute.created webhook delivers the dispute and its reason code.
- 2The agent pulls the order and fulfillment timeline from Airtable and reads stored customer email threads from Dropbox.
- 3Using an OpenAI model, it drafts reason-code-specific narrative text and a chronological summary of events.
- 4A logic step checks the draft cites concrete dates and tracking facts before approval.
- 5It writes the drafted evidence text back to the Airtable dispute record for review and submission.
Set it up
What you configure once, before turning it on.
- 1Connect StripeCustomers, subscriptions, payments.
- 2Connect AirtableBases, tables, views, automations.
- 3Connect DropboxFiles and folders.
- 4Connect OpenAIModels, embeddings, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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