Cost attribution and controls for AI developer and productivity tools on Amazon Bedrock
Amazon Bedrock provides built-in, zero-instrumentation cost attribution that traces every inference call back to the IAM principal that made it. This post shows how to attribute per-user Bedrock costs for AI developer and productivity tools using IAM Identity Center, session tags, and CUR 2.0, and how to enforce per-user usage limits.
Amazon Bedrock provides built-in, zero-instrumentation cost attribution that traces every inference call back to the IAM principal that made it. This capability allows for per-user cost visibility, team spend analysis, and budget scaling with headcount and adoption, all while keeping data inside the AWS security boundary. By configuring IAM Identity Center with an external identity provider, attaching session tags for team and cost center information, and leveraging AWS Cost Explorer, organizations can gain valuable insights into their AI tool usage and associated costs without needing to modify their API calls.
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