AI AGENTS
Weekly Cost-Driver Report to Confluence
Every Monday, an agent breaks down the week's cloud spend by service and team, attributes the biggest movers to specific deploys.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly Monday schedule
- ActionQuery week-over-week cost by service and teamSnowflake
- LogicIdentify top cost movers
- ActionAttribute movers to deploysGitLab
- ActionPull utilization contextDatadog
- OutputPublish narrated report to ConfluenceConfluence
What it does
Produces a weekly written report that explains, in plain language, why cloud spend moved the way it did. The agent compares this week's spend to last week by service and owning team, finds the top increases and decreases, ties each mover to the deploys or infra changes most likely responsible, and publishes a narrated Confluence page that leadership can actually read.
When to use it
Use this for a recurring finops or platform review where you currently copy numbers from a warehouse into a doc and guess at the narrative. It replaces the manual weekly write-up with a consistent, evidence-backed page.
How it works
- 1A weekly schedule starts the run on Monday morning.
- 2The agent queries Snowflake for week-over-week cost grouped by service and team.
- 3It identifies the top cost movers in both directions.
- 4For each mover it pulls relevant GitLab deploys and Datadog utilization to attribute the change.
- 5It writes a narrated report with charts and per-team callouts.
- 6The report is published as a new Confluence page in the finops space.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect GitLabRepos, MRs, pipelines, registry.
- 3Connect DatadogMetrics, traces, log search.
- 4Connect ConfluenceSpaces, pages, blueprints.
- 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.
More AI Agents workflows
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Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.