AI-powered AWS FinOps

AI Agents for AWS Cost Optimization

An intelligent FinOps agent that turns raw AWS billing data into plain-language explanations and recommendations your finance and cloud teams can act on.

Talk to an AI ExpertSee the cost agent case study
Monthly AWS spendexample · illustrativeCost anomalyEC2 · explained

Every part of AWS FinOps, explained

Cost visibility
See spend by account, service, team and environment.
Cost allocation
Map costs to owners using tags and accounts.
Cost anomaly detection
Spot unusual spend early and explain the cause.
Rightsizing
Match EC2, RDS and container sizes to real usage.
Resource cleanup
Find idle instances, unattached EBS volumes and unused Elastic IPs.
Savings Plans
Recommend commitments based on steady usage.
Reserved Instances
Identify where reservations fit, such as RDS.
Storage optimization
S3 storage classes, lifecycle rules and gp2 to gp3 moves.
Data transfer optimization
Analyse NAT Gateway, CloudFront and cross-AZ traffic costs.
Architecture optimization
Spot design choices that drive cost, including EKS clusters.

Ask in plain language. The agent does the analysis.

  1. 1Analyse Cost Explorer data
  2. 2Compare with historical usage
  3. 3Identify the services causing the increase
  4. 4Analyse the resources behind it
  5. 5Identify the root cause
  6. 6Generate a plain-language explanation
  7. 7Recommend actions
Example workflow

Example · illustrative values

“Why did our AWS cost increase this month?”

EC2 costs increased mainly due to higher usage of [instance type] instances in [account / environment].

Estimated monthly impact
[amount from your data]
Recommended action
Rightsize [n] instances; stop idle non-production instances outside working hours
Risk
Low: non-production only
Expected savings
[estimate from your data]
Approval required
Yes: cloud team lead

What the cost agent analyses

  • AWS billing analysis
  • Cost Explorer data analysis
  • Unused resources
  • Idle EC2 instances
  • Unattached EBS volumes
  • Unused Elastic IPs
  • RDS utilisation
  • EC2 utilisation
  • S3 storage patterns
  • Data transfer costs
  • Expensive workloads
  • Over-provisioned resources
  • Rightsizing recommendations
  • Savings Plans recommendations
  • Reserved Instance recommendations
  • gp2 vs gp3 opportunities
  • CloudFront usage
  • NAT Gateway costs
  • Kubernetes / EKS costs
  • Cost anomalies
  • Monthly cost reports
  • Plain-language explanations of cost changes

AWS technologies

  • AWS Cost Explorer
  • AWS Budgets
  • AWS Cost and Usage Report
  • Amazon Bedrock
  • AWS Lambda
  • Amazon S3
  • Amazon DynamoDB
  • Amazon CloudWatch

Want to know what’s really driving your AWS bill?

Talk to an AI Expert