FINANCE
Monthly card spend policy rollup to BigQuery
At month end it aggregates all Stripe Issuing spend by category, cardholder, and policy compliance, loads the dataset into BigQuery, and posts the violation rate trend to Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerFirst-of-month schedule
- ActionPull prior month's Stripe Issuing transactionsStripe
- LogicClassify and aggregate by category, cardholder, compliance
- ActionLoad aggregated rows into BigQueryBigQuery
- OutputPost violation-rate trend to SlackSlack
What it does
Produces a month-end analytics dataset from your corporate-card activity. It pulls the full month of Stripe Issuing transactions, classifies each against the spend policy, and aggregates totals by merchant category, cardholder, and compliant-versus-violation status. The structured result is loaded into BigQuery so finance can chart spend trends and policy violation rates over time.
When to use it
Reach for this when you need analytics, not enforcement: tracking which categories drive spend, which teams trend toward violations, and whether your policy tuning is working month over month. It feeds dashboards rather than blocking cards.
How it works
- 1A scheduled trigger fires on the first of the month.
- 2The flow pulls all Stripe Issuing transactions from the prior calendar month.
- 3A logic step classifies each transaction by category and compliance status, then aggregates totals.
- 4The aggregated rows are loaded into a BigQuery table partitioned by month.
- 5A query computes the period's violation rate versus the prior month.
- 6The trend and top spend categories are posted to the finance Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect StripeCustomers, subscriptions, payments.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
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