Cloud FinOps Use Case

Investigate AWS cost anomalies with an AI agent

Agent root-causes AWS cost anomaly spikes by service, region, and usage type — then routes a decision-ready case with owner context to the right team.

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.