Cloud FinOps Use Case
Investigate AWS cost anomalies with an AI agent
When AWS Cost Anomaly Detection fires, the agent root-causes the spike — breaking down which service, region, usage type, and team is responsible — and routes a decision-ready case to the right owner.
Expected outcome
Evidence-backed anomaly brief with service breakdown, expected vs actual spend, likely owner route, and recommended remediation — delivered before your next standup.
Best fit teams
Platform engineering, SRE, and engineering managers who get paged on billing anomalies.
Typical delivery package
- • Root-cause breakdown: service, region, usage type, and account spend delta.
- • Expected vs actual spend with confidence context from Cost Explorer.
- • Owner route resolved from resource tags and AWS account structure.
- • Recommended action: investigate further, adjust capacity, or route to the responsible team.
Starter prompt
Find the highest-impact open AWS cost anomaly, explain what drove the spike with service and region breakdown, identify the likely owner, and recommend the next action.