Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock
Jamf solved the cost-governance crisis at scale: real-time per-user spend limits on Bedrock without breaking active sessions.
Why it matters
As enterprises deploy generative AI across users, cost control becomes operational necessity, not nice-to-have. This is a working blueprint for enforcing spend governance on managed AI platforms without friction.
The key facts
8 to knowReal-time, per-user spend enforcement on Amazon Bedrock
Technology stack: IAM Customer Managed Policies + Amazon Athena cost view + serverless Lambda
Tiered model limits applied without disrupting active sessions
Cost governance as a production constraint at scale
Real-time per-user spend enforcement on Amazon Bedrock
Stack: IAM Customer Managed Policies + Amazon Athena cost views + Lambda serverless loop
Cost governance identified as top AI adoption challenge
Case study: Jamf implementation details
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: As generative AI adoption scales, cost governance becomes a top challenge. Learn how Jamf built real-time, per-user spend enforcement for Amazon Bedrock using IAM Customer Managed Policies, an Amazon Athena cost view, and a serverless AWS Lambda loop that applies tiered model limits in…