Daily spend check: if AWS/GCP/Azure cost is >50% above 7-day average, LLM diagnoses (new instance, expensive query, idle resource) and suggests cost recovery.
What it does: Daily schedule → fetch cloud daily spend (AWS Billing API, GCP BigQuery billing exports, Azure Cost Management) → detect anomaly: if today > 50% above 7-day rolling avg → LLM diagnoses (which services cost most, likely cause: new EC2 deployment, expensive RDS, unoptimized queries) → Slack to #finops with alert and recovery steps.
Connect cloud provider: AWS (Billing API), GCP (BigQuery exports), Azure (Cost Management API)
Set cost threshold: default 50% above baseline
Configure Slack channel: #finops
Test: spin up expensive resource; verify cost spike detected
Apps/nodes: Schedule, HTTP request (billing API), code node (anomaly math), Claude/OpenAI (diagnosis), Slack.
Credentials required: Cloud billing credentials, OpenAI account, Slack workspace.
Difficulty: Medium | Setup time: 8 minutes.
Business outcome: Cost spikes caught daily (not month-end surprise) → FinOps visibility ↑, waste ↓, budget ↑ predictable.
With an active subscription, download the workflow file right from this page or your dashboard.
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
Run once with sample input, confirm the expected output, then flip the activate toggle.
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