FINANCE
Daily Cash Position Roll-Up: Stripe Payouts + Warehouse Ledger to Slack
Every morning, reconciles yesterday's Stripe payouts against the warehouse GL cash ledger and posts a single consolidated cash-position summary to the finance Slack channel.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule: daily at 6:30am finance TZ
- ActionFetch prior-day settled payoutsStripe
- ActionQuery cash + clearing GL balancesSnowflake
- LogicCompute closing position; flag low/negative balance
- OutputPost cash-position summary to finance channelSlack
What it does
Produces one authoritative daily cash snapshot. It pulls the prior day's settled Stripe payouts, reads the corresponding cash and clearing balances from your Snowflake general ledger, computes the consolidated end-of-day cash position (opening balance + payouts in - outflows = closing), and delivers a clean summary card to Slack before the finance team logs on.
When to use it
Run it when treasury or accounting needs a reliable single number for available cash each morning without anyone manually exporting Stripe reports and cross-checking them against the warehouse. Ideal for teams that close cash daily rather than monthly.
How it works
- 1A schedule fires at 6:30am in the finance timezone.
- 2It fetches all Stripe payouts that settled during the prior business day, with gross, fees, and net.
- 3In parallel it queries the Snowflake cash and clearing GL accounts for opening balance and posted outflows.
- 4A logic step sums the components into a closing position and flags any negative or unusually low balance.
- 5The result is formatted as a Slack message with closing cash, net Stripe inflow, and a drill-down link, then posted to the finance channel.
Set it up
What you configure once, before turning it on.
- 1Connect StripeCustomers, subscriptions, payments.
- 2Connect SnowflakeWarehouses, queries, shares.
- 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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