Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock
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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 near-real-time without disrupting active sessions.
Generative AI spend behaves unlike any cost line before it. Traditional compute scales with provisioned capacity. AI spend scales with behavior : a single engineer running an agentic coding loop against a premium model can burn more tokens in a few hours than a team does in a week. This is the tokenomics problem: usage is invisible until the bill arrives, making both cost control and return on investment (ROI) hard to prove. Before expanding AI access, leadership wants three answers: What do we…
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