AWS Cost Explorer introduces natural language query feature powered by Amazon Q

AWS Cost Explorer has integrated Amazon Q Developer’s generative AI capabilities into its cost analysis workflows, enabling the use of natural language queries to explore AWS cost and usage data. The new feature allows users to ask Amazon Q questions about their expenses, and receive both answers and automatically updated visualizations within Cost Explorer. This innovation aims to expedite cost analysis, reduce the time required to gain insights, and enhance cost visibility for all team members.

With the introduction of this feature, users can initiate their cost analysis using newly suggested prompts in Cost Explorer. These prompts address commonly asked questions, such as “Show me my top spending services for this month.” As Amazon Q provides detailed insights, Cost Explorer simultaneously updates with relevant visualizations, filters, and groupings. Users also have the option to ask custom questions in their own words through the ‘Ask Question’ button, allowing for a conversational exploration of spending patterns. Cost Explorer dynamically updates charts and tables based on the user’s cost and usage data.

When Amazon Q gathers insights from additional datasets, such as pricing or anomaly detection, the visualizations appear in Amazon Q’s new artifacts panel. This setup allows users to follow up with additional questions while preserving the context of the conversation, facilitating a seamless transition from a quick cost check to an in-depth investigation without needing to switch tools or disrupt their workflow.

The natural language cost analysis feature for AWS Cost Explorer is now available in all commercial AWS Regions at no extra cost. For more information, users can visit AWS Cost Explorer or consult the user guide to get started.