FINANCE
Month-end deferred-revenue drift reconciler against the GL
On a schedule before close, recompute every active contract's recognition waterfall, compare it to the booked GL deferred-revenue balance.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled run before month-end close
- ActionRead active contracts and booked GL balances from SnowflakeSnowflake
- LogicRecompute expected recognized + deferred per contract
- LogicCompare modeled vs. booked, flag drift over threshold
- ActionWrite drift exceptions to Snowflake reconciliation tableSnowflake
- OutputEmail categorized exception list to controllerGmail
What it does
Runs a full-population recomputation of deferred-revenue schedules and reconciles the modeled ending balance against the deferred-revenue liability booked in the GL. Any contract whose recomputed waterfall disagrees with what was recognized is surfaced as a drift exception, so controllers find broken schedules before they sign off rather than after.
When to use it
Use it as a pre-close control when mid-term amendments, cancellations, or manual journal entries have a habit of leaving recognition schedules and the ledger out of agreement. Replaces the manual tie-out spreadsheet finance dreads every month.
How it works
- 1A scheduled trigger fires a few days before month-end close.
- 2The flow reads all active contracts and their booked GL balances from Snowflake.
- 3It recomputes each contract's expected recognized and deferred balances for the period.
- 4A branch compares modeled vs. booked and isolates contracts exceeding a materiality threshold.
- 5Drift exceptions are written to a Snowflake reconciliation table.
- 6A categorized exception list (over- vs. under-recognized) is delivered to the controller via email.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect GmailRead, draft, send, label.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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