FINANCE
Monthly RevRec Timing Variance Brief from BigQuery
At each month-end close, query BigQuery for recognized vs. booked revenue by contract, summarize the timing variances with OpenAI.
How it runs
The automated pipeline, trigger to output.
- TriggerMonth-end close schedule fires
- ActionQuery recognized vs. scheduled revenue by contractBigQuery
- LogicCompute and rank timing variances
- ActionDraft variance brief with cause notesOpenAI
- OutputEmail brief to controllerOutlook
What it does
Produces a one-page revenue-recognition timing variance brief for the controller every month-end. It compares revenue recognized in the period against revenue that should have been recognized per the contract schedule, isolates the timing gaps, and explains the biggest movers in plain language.
When to use it
Run it on the last business day of the month (or the morning after close cutoff) so the controller walks into review with the variances already triaged instead of building the schedule by hand.
How it works
- 1A month-end schedule fires the workflow.
- 2It queries BigQuery for recognized revenue and the scheduled recognition amount per contract for the period.
- 3A logic step computes the timing variance per contract and ranks contracts by absolute dollar gap.
- 4OpenAI drafts the brief: total variance, top over/under-recognized contracts, and a likely cause note for each.
- 5The brief is emailed to the controller via Outlook with the contract-level table attached.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect OutlookMail, calendar, contacts.
- 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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