AWS now provides AI-powered cost investigations for cost anomalies

[AWS Cost Anomaly Detection](https://aws.amazon.com/aws-cost-management/aws-cost-anomaly-detection/) now includes AI-powered cost investigation, which uses Amazon Q to analyze the root cause of detected cost anomalies. Investigating a cost change typically requires correlating cost data with AWS CloudTrail events and resource activity, which can take hours. Cost investigation delivers a plain-language explanation in minutes, helping FinOps practitioners and engineering teams move from alert to action faster. When you investigate an anomaly, Amazon Q determines whether the cost change is usage-driven or rate-driven, identifies the contributing services, accounts, and regions, and for usage-driven changes, correlates with AWS CloudTrail to attribute the change to specific API calls and IAM principals. For organizations with a CloudTrail organization trail, the investigation works across all member accounts automatically. You can continue the conversation with follow-up questions to explore patterns or drill into specific resources. AI-powered cost investigation is available today in all commercial AWS Regions at no additional charge. Cross-account investigations that use an organization-wide CloudTrail trail delivered to Amazon CloudWatch Logs might incur standard CloudWatch Logs Insights charges based on data scanned. To get started, navigate to AWS Cost Anomaly Detection in the [AWS Billing and Cost Management console](https://console.aws.amazon.com/costmanagement/) and choose Investigate with Amazon Q on any detected anomaly. To learn more, see [Investigating anomaly root causes with Amazon Q](https://docs.aws.amazon.com/cost-management/latest/userguide/investigating-ad.html) in the AWS Billing and Cost Management User Guide.