New usage analytics and updated spend controls give ChatGPT Enterprise admins more visibility, control, and confidence in their AI deployments.

As AI becomes part of everyday work, organizations need the ability to manage it with the same rigor they apply to any critical business investment. Companies need a clear view of usage, adoption, and spend so they can scale with confidence and understand where AI is creating value.

Today, we’re introducing credit usage analytics and updated spend controls for ChatGPT Enterprise. These capabilities help companies track credit usage, understand adoption patterns, and make more informed decisions about how AI is deployed across their organizations. With clearer visibility and more flexible controls, organizations can proactively manage costs, give teams the access they need, and keep AI investments focused on the work that matters most.

The Global Admin Console brings ChatGPT and Codex credit usage into one view, so admins can see a more granular breakdown of credit consumption across users, products, and models—helping them understand where spend is coming from and how it maps to actual credit usage. This makes it easier to distinguish between increased usage driven by valuable work and usage patterns that may require closer review.

Break down credit spend across the workspace, including by user, product, and model

Access the same credit usage data through the unified Cost API for deeper analysis in their own systems

Earlier this year, we introduced granular credit usage limits ⁠ (opens in a new window) for custom roles in ChatGPT Enterprise, helping workspace owners manage advanced model usage across different types of users without one-size-fits-all restrictions.

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