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The Economics of Agent Optimization: How AI agent governance controls cost and proves ROI
Microsoft Foundry adds cost governance, token limits, and ROI measurement for AI agents.
Microsoft's blog post, the final installment of a series on agent optimization, explains how AI agent governance on Microsoft Foundry controls costs and proves ROI.
It details capabilities for cost visibility, spend limits, and policy enforcement across models and providers, including project-level cost attribution and token limits.
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AI agent governance starts with knowing which agents exist, who owns them, what they can access, and which policies apply. It is often discussed in terms of security, compliance, and lifecycle management. It is also fundamental to cost optimization.
azure.microsoft.com
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