FINANCE
Flag Burn Variance vs Forecast and Page on Overrun
Compares actual monthly burn against the forecasted budget per category, and when overspend exceeds tolerance it logs the variance to Coda and pages finance via PagerDuty.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule after actuals finalized
- ActionQuery Snowflake actual spend by category vs forecastSnowflake
- LogicCompute per-category and total variance vs tolerance
- ActionWrite variance report to CodaCoda
- OutputPage finance via PagerDuty on overrunPagerDuty
What it does
Catches budget overruns that quietly erode runway. Each close it lines up actual spend against the forecast for every expense category, computes the variance, and escalates when a category or the total blows past the allowed tolerance.
When to use it
Use this when your runway model assumes a forecast that departments routinely overspend. It surfaces the specific category driving the overrun so the fix is targeted, not a blanket freeze.
How it works
- 1A monthly schedule runs after actuals are finalized.
- 2Query Snowflake for actual spend by category and join it to the forecast.
- 3A branch computes per-category and total variance against the tolerance band.
- 4If any overrun exceeds tolerance, write a variance report row to Coda.
- 5Trigger a PagerDuty incident tagged with the worst-offending category and the runway impact.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect CodaDocs, packs, automations.
- 3Connect PagerDutyIncidents, on-call, escalations.
- 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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