CUSTOMER SUPPORT

Self-serve refund request auto-decision from a web form

Receives refund requests from your customer portal via webhook, checks Stripe charge age, usage, and refund history.

CategoryCustomer Support
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRefund request received via HTTP webhookHTTP webhook
  • ActionLook up charge details in StripeStripeStripe
  • ActionQuery usage and refund history in PostgresPostgreSQLPostgres
  • LogicAuto-approve if low-risk, else route to review
  • ActionIssue refund in Stripe for approved casesStripeStripe
  • OutputPost borderline cases to Slack review channelSlack

What it does

Handles inbound refund requests submitted from your product or help center. It validates the request against policy, and when a case is unambiguous and low-risk it issues the Stripe refund automatically. Anything outside the auto-approve window is packaged with full context and dropped into a Slack review channel so an agent can decide quickly.

When to use it

Use it when you offer self-serve refunds and want to clear the easy 80% instantly while still giving humans the borderline cases — without letting anyone game the policy.

How it works

  1. 1The portal posts a refund request to an HTTP webhook with the charge ID and customer email.
  2. 2Stripe is queried for the charge amount, age, and whether it was already refunded.
  3. 3Postgres returns the customer's usage and count of prior refunds.
  4. 4A logic gate auto-approves when the amount is under the limit, the charge is recent, usage is low, and there are no prior refunds.
  5. 5Approved cases trigger a Stripe refund; everything else posts a context card to a Slack review channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect StripeCustomers, subscriptions, payments.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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.

Run this workflow in your colony.

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