FINANCE
Runway Impact Check on Large Spend Approval
When a large spend or contract is submitted for approval via webhook, recomputes projected runway with that commitment included and routes an approve-or-hold recommendation…
How it runs
The automated pipeline, trigger to output.
- TriggerSpend-approval submitted via webhookHTTP webhook
- ActionPull baseline cash and burn from BigQueryBigQuery
- LogicRecompute projected runway with commitment
- LogicCompare projected runway to safety floor
- OutputPost approve-or-hold recommendation to Slack threadSlack
What it does
Turns runway from a backward-looking metric into a forward-looking decision input. When someone submits a large purchase or recurring contract for approval, it recomputes runway as if the commitment were already live and recommends whether the spend keeps the company above its safety floor.
When to use it
Use it when approvers green-light big spend without seeing the cash impact. This puts the projected post-commitment runway directly in front of the decision-maker before they click approve.
How it works
- 1A spend-approval submission arrives by webhook with amount, cadence, and category.
- 2Pulls current cash, burn, and revenue inputs from BigQuery to establish the baseline.
- 3A logic step recomputes projected runway with the new recurring or one-time commitment folded into burn.
- 4Compares the projected runway against the configured safety floor to produce an approve or hold recommendation.
- 5Posts the baseline runway, projected runway, and the recommendation into the Slack approval thread for the approver to act on.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 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.

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