How Jamf Built Real-Time Spend Enforcement for Amazon Bedrock: A Model for AI Cost Governance

It is the process of monitoring and enforcing spend limits on generative AI model usage via Amazon Bedrock, ensuring costs stay within budget per user or team.

Jamf uses IAM customer managed policies for permissions, an Athena cost view for usage analysis, and a serverless Lambda loop that periodically checks usage and applies tiered model limits.

With growing adoption of generative AI in the region, this approach helps enterprises control costs effectively, enabling scalable usage without financial surprises.

Jamf designed the system to avoid disrupting active sessions, applying limits gradually and in near-real-time to maintain workflow continuity.