INVOICE PROCESSING

Flag rising Stripe subscription charges against last month

Runs monthly over your active Stripe subscriptions, compares each one's current billed amount to the prior month.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule on first business day
  • ActionList active subscriptions and amountsStripeStripe
  • ActionMatch each to prior-month amountAirtableAirtable
  • LogicKeep only subscriptions that increased
  • OutputSend monthly cost-drift digestSlack
  • ActionSave current amounts as new baselineAirtableAirtable

What it does

On a monthly schedule this workflow pulls every active Stripe subscription you pay as a customer-style billing record, captures the current period's amount, and diffs it against the amount you logged for that subscription last month. Any subscription that costs more than before is collected into a single digest so creeping per-seat or tier upgrades surface in one place instead of buried across invoices.

When to use it

Use it when your own SaaS tools bill through Stripe and seat counts, usage tiers, or annual list-price bumps quietly raise your monthly run rate. Good for founders or finance leads who want one monthly cost-drift report rather than reading every receipt.

How it works

  1. 1A monthly schedule fires on the first business day.
  2. 2A Stripe step lists active subscriptions with their current period amounts.
  3. 3Each amount is matched to its stored prior-month figure in Airtable.
  4. 4A logic step keeps only subscriptions whose amount increased.
  5. 5A Slack digest summarizes total added spend and the worst offenders.
  6. 6Current amounts are saved to Airtable to seed next month's comparison.

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 SlackChannels, DMs, threads, mentions.
  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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