Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock
aws ·
The article describes how Jamf built a real-time spend enforcement system for Amazon Bedrock to manage generative AI costs at the individual user level. The system uses AWS IAM Customer Managed Policies, an Amazon Athena cost view, and a Lambda function triggered every 15 minutes to enforce tiered daily spending limits. When engineers approach their budget, the system denies access to premium models like Claude Opus and Sonnet while keeping low-cost models available. It notifies users via Slack and automatically resets restrictions daily, with an exception workflow for temporary higher limits via a Slack slash command. Key learnings include keeping Athena cost low by combining queries, adding explicit pricing branches for new models, and managing the IAM policy version limit. The authors emphasize that such governance actually accelerates AI adoption by making costs observable and controllable.
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