FINANCE
Stripe Dispute Rebuttal Narrative Drafter
An agent reads the assembled evidence for a disputed charge and drafts a persuasive, fact-grounded rebuttal narrative plus a checklist of which Stripe evidence fields to populate.
How it runs
The automated pipeline, trigger to output.
- TriggerEvidence-collected webhookStripe
- ActionLoad order and records from PostgresPostgres
- ActionAgent drafts grounded rebuttal narrativeOpenAI
- LogicMap evidence to Stripe evidence fields
- ActionSave draft and field map to DropboxDropbox
- OutputNotify reviewer in FrontFront
What it does
Given a disputed charge and its collected records, an agent writes the uncompromising-statement narrative that goes into the Stripe evidence submission. It cites the order date, delivery proof, refund policy, and customer communications, then outputs a field-by-field checklist mapping each piece of evidence to the correct Stripe evidence slot.
When to use it
Use this after evidence is gathered but before submission, when writing a coherent rebuttal by hand is the bottleneck. It is especially useful for teams without a chargeback specialist who need consistent, well-structured responses.
How it works
- 1A webhook fires with a dispute ID once its evidence has been collected.
- 2The flow loads the order, comms, and delivery records from Postgres.
- 3An OpenAI-backed agent drafts a rebuttal narrative grounded only in the supplied facts and flags any missing evidence.
- 4A logic step maps each evidence item to its Stripe evidence field name.
- 5The draft narrative and field map are written to Dropbox alongside the evidence pack for human review.
- 6The reviewer is notified in Front that a draft is ready to edit and submit.
Set it up
What you configure once, before turning it on.
- 1Connect StripeCustomers, subscriptions, payments.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect DropboxFiles and folders.
- 5Connect FrontShared inbox, conversations.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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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