FINANCE

Real-Time Stripe Card Spend Outlier Flagging

Watches Stripe Issuing card authorizations as they happen, scores each charge against your expense policy bands.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerStripe card authorization createdStripeStripe
  • LogicScore charge against category policy bands
  • LogicDrop in-policy charges, keep outliers
  • ActionDraft plain-English breach explanationOpenAI
  • OutputPost outlier to Slack manager channelSlack

What it does

Every time an employee's Stripe Issuing card is authorized, this workflow checks the charge against your category spending limits (meal caps, hotel nightly rates, single-purchase ceilings) and merchant rules. Charges that fall outside policy are pushed to a manager review channel within seconds, while clean charges pass silently.

When to use it

Run this when you issue corporate cards through Stripe and want to catch policy breaches at the moment of purchase instead of three weeks later during reconciliation. Best for finance teams that already encode per-category limits and want a low-noise alerting layer.

How it works

  1. 1A Stripe authorization event fires the workflow with the merchant, amount, and category.
  2. 2A logic step compares the amount and MCC against your policy band table and computes an overage percentage.
  3. 3In-policy charges exit quietly; only out-of-band ones continue.
  4. 4An OpenAI step writes a one-line plain-English explanation of which rule tripped and by how much.
  5. 5A Slack message lands in the manager channel with Approve and Dispute buttons linking back to the Stripe transaction.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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