AWS Cost Explorer now brings Amazon Q Developer’s generative AI capabilities directly into your cost analysis workflows. You can now use natural language queries to ask Amazon Q questions about your AWS cost and usage data. In addition to providing answers to your question, you now also receive automatically updated visualizations in Cost Explorer. This enables faster cost analysis, reduces time to insights, and makes cost visibility accessible to every team member.
With this launch, you can start your cost analysis with the new suggested prompts in Cost Explorer. These prompts include commonly asked cost questions like “Show me my top spending services for this month.” Amazon Q provides detailed insights while Cost Explorer simultaneously updates with the corresponding visualization, filters, and groupings. You can also ask custom questions in your own words using the new ‘Ask Question’ button, exploring your spending patterns conversationally. Cost Explorer automatically updates charts and tables when analysis is based on your cost and usage data. When Amazon Q compiles insights from additional datasets such as pricing or anomaly detection, visualizations are displayed in Amazon Q’s new artifacts panel. You can continue the conversation with follow-up questions while maintaining full context, allowing you to go from a quick cost check to a deep investigation without switching tools or breaking your workflow.
Natural language cost analysis for AWS Cost Explorer is available today in all commercial AWS Regions at no additional charge. To learn more, visit AWS Cost Explorer. To get started, see the user guide.
Categories: marketing:marchitecture/cost-management,marketing:marchitecture/artificial-intelligence,general:products/aws-cost-explorer
Source: Amazon Web Services
Latest Posts
- (Updated) Microsoft Teams: New Drafts quick view [MC1223827]
![(Updated) Microsoft Teams: New Drafts quick view [MC1223827] 2 pexels padrinan 1111317](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)
- (Updated) Microsoft Teams: AI Interpreter (simultaneous) quality improvements and new Traditional Chinese support [MC1267977]
![(Updated) Microsoft Teams: AI Interpreter (simultaneous) quality improvements and new Traditional Chinese support [MC1267977] 3 glass facade 817732 1920](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)
- (Updated) Microsoft Teams: Restart Event feature for Town Hall with unrecoverable failures [MC1194079]
![(Updated) Microsoft Teams: Restart Event feature for Town Hall with unrecoverable failures [MC1194079] 4 girl 2605129 1920](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)
- (Updated) Flexible layout for Teams meetings with resizable divider [MC1190199]
![(Updated) Flexible layout for Teams meetings with resizable divider [MC1190199] 5 pexels cottonbro 5772130](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)

![(Updated) Microsoft Teams: New Drafts quick view [MC1223827] 2 pexels padrinan 1111317](https://mwpro.co.uk/wp-content/uploads/2024/08/pexels-padrinan-1111317-150x150.webp)
![(Updated) Microsoft Teams: AI Interpreter (simultaneous) quality improvements and new Traditional Chinese support [MC1267977] 3 glass facade 817732 1920](https://mwpro.co.uk/wp-content/uploads/2025/06/glass-facade-817732_1920-150x150.webp)
![(Updated) Microsoft Teams: Restart Event feature for Town Hall with unrecoverable failures [MC1194079] 4 girl 2605129 1920](https://mwpro.co.uk/wp-content/uploads/2025/06/girl-2605129_1920-150x150.webp)
![(Updated) Flexible layout for Teams meetings with resizable divider [MC1190199] 5 pexels cottonbro 5772130](https://mwpro.co.uk/wp-content/uploads/2025/06/pexels-cottonbro-5772130-150x150.webp)
