Introducing AI-Powered Cost Investigations For Cost Anomalies

This article announces AI-powered cost investigation for AWS Cost Anomaly Detection, enabling automated root cause analysis of unexpected cost changes using natural language.

• AI analyzes cost anomalies to identify why changes occurred, not just what changed
• Correlates CloudTrail API calls and IAM identities to pinpoint resource and deployment changes
• Classifies anomalies as usage-driven or rate-driven with plain-language explanations
• Answers five key questions: what, when, where, who, and why for cost changes
• Supports conversational follow-up questions within Amazon Q for deeper investigation
• Automatically queries organization-wide CloudTrail trails for cross-account analysis
• Available at no additional charge for Cost Anomaly Detection customers
• Accessible via CAD console, AWS FinOps Agent, or Amazon Q conversations

AI-powered cost investigation reduces time to resolve cost anomalies from hours or days to minutes, enabling faster action on unexpected spending changes.