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As organizations scale their AI workloads on Amazon Bedrock, understanding what’s driving spending becomes critical. Teams might need to perform chargebacks, investigate cost spikes, and guide optimization decisions, all of which require cost attribution at the workload level.

With Amazon Bedrock Projects , you can attribute inference costs to specific workloads and analyze them in AWS Cost Explorer and AWS Data Exports. In this post, you will learn how to set up Projects end-to-end, from designing a tagging strategy to analyzing costs.

A project on Amazon Bedrock is a logical boundary that represents a workload, such as an application, environment, or experiment. To attribute the cost of a project, you attach resource tags and pass the project ID in your API calls.…

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