How I Built an AI Agent That Cut My AWS Bill by 40% (CrewAI + Bedrock)

7.6 relevance

CrewAI + Bedrock agent cutting AWS bill by 40%, highly actionable and directly relevant to AI agents and cloud cost optimization.

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Why It Matters

For platform engineers managing cloud costs, this demonstrates a practical multi-agent pattern that automates a tedious manual audit process, delivering actionable savings without requiring Terraform or Trusted Advisor's limitations.

Key Takeaways

Implement a CrewAI pipeline with role-specific agents (scanner, optimizer, reporter) to automate AWS cost audits and generate prioritized, dollar-attached recommendations weekly.

How I Built an AI Agent That Cut My AWS Bill by 40% (CrewAI + Bedrock)

Summary

A multi-agent system built with CrewAI and Amazon Bedrock Nova Pro scans AWS accounts for cost waste, identifying orphaned volumes, idle IPs, and gp2-to-gp3 opportunities. Three specialized agents (scanner, optimizer, report writer) run sequentially in under 60 seconds, producing a prioritized markdown report with exact dollar savings. The system found $125/month in waste on a $300 bill, costing about $0.01 per run via Bedrock's Nova Pro model.

Author

Sarvar Nadaf