FINANCE

Open a triaged finance task the moment a merchant breaches its refund budget

Checks each merchant's month-to-date refund total from Stripe against a per-merchant budget stored in Airtable and, on breach.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily mid-morning schedule
  • ActionPull month-to-date refunds per merchant from StripeStripeStripe
  • ActionRead per-merchant budget from Airtable cap tableAirtableAirtable
  • LogicFind merchants over cap, compute overage and breach tier
  • ActionOpen priority-tagged Monday task with evidencemonday.com
  • OutputPost new-breach summary to finance SlackSlack

What it does

Enforces a per-merchant refund budget. It compares month-to-date refund spend against each merchant's configured cap and, when a merchant goes over, opens a finance task tagged by how far past budget it is, with the refunds that pushed it over attached as evidence.

When to use it

Use this when different merchants have legitimately different refund tolerances and you manage them as budgets, not as one shared threshold. The Airtable cap table is the single place finance edits limits without touching the workflow.

How it works

  1. 1A daily schedule fires mid-morning.
  2. 2Pull month-to-date refunds per merchant from Stripe.
  3. 3Read each merchant's refund budget from the Airtable cap table.
  4. 4Branch: keep merchants whose MTD refunds exceed their cap and compute the overage and breach tier.
  5. 5Open a Monday task per breaching merchant, priority-tagged by tier, with the contributing refunds listed.
  6. 6Post a summary of new breaches to the finance Slack channel.

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 monday.comVisual work management for teams.
  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.

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