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.

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.

Now admins can also set a default limit for their ChatGPT Enterprise workspace, configure limits for specific groups, and create individual overrides for people who need more capacity. Employees can see their credit usage against their available budget, request additional credits when needed, and include context about what they’re working on so admins can make an informed decision. This allows individual power users to keep working without interruption or the need to increase limits for everyone else.