FINANCE
Hourly run-rate spike guardrail → deploy correlation → Teams alert + ticket
Hourly it checks near-real-time spend run-rate against an expected envelope, and on a breach correlates the jump to the most recent deploy via Axiom and Vercel.
How it runs
The automated pipeline, trigger to output.
- TriggerHourly schedule triggers run-rate check
- ActionPull spend metrics and project hourly run-rateAxiom
- LogicCompare projection against expected envelope
- ActionCorrelate breach to latest deploy via VercelVercel
- ActionAlert finance-eng Microsoft Teams channelMicrosoft Teams
- OutputFile Linear ticket tracking the run-rate breachLinear
What it does
Instead of waiting for the daily bill, this workflow watches your cloud spend run-rate hourly. When the projected run-rate breaks out of its expected envelope, it correlates the breach against the most recent deploys in Axiom and Vercel to name the change responsible, then alerts the finance-eng Teams channel and opens a tracking ticket so a runaway cost is caught within the hour.
When to use it
Use it for workloads where a bad deploy can burn meaningful money fast and a once-a-day check is too slow. It is the early-warning guardrail that fires before a spike becomes a full day of overspend.
How it works
- 1An hourly schedule triggers the run-rate check.
- 2It pulls recent spend metrics and projects the current hourly run-rate.
- 3A guardrail compares the projection against the expected envelope.
- 4On breach it queries Axiom and Vercel for the latest deploys to correlate the cause.
- 5It posts an alert to the finance-eng Microsoft Teams channel with the suspect deploy.
- 6It files a Linear ticket to track the run-rate breach to resolution.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect VercelDeploys, runtime logs, analytics.
- 3Connect Microsoft TeamsChannels, chats, files.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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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