As AI becomes integrated into daily workflows, organizations require the ability to manage it with the same discipline they apply to any critical business investment. Companies need clear visibility into usage, adoption, and spending to scale confidently and understand where AI delivers value.
OpenAI is introducing credit usage analytics and updated spend controls for ChatGPT Enterprise. These features help companies track credit consumption, understand adoption patterns, and make better-informed decisions about how AI is deployed across their organizations. With improved visibility and more flexible controls, organizations can proactively manage costs, provide teams with appropriate access, and ensure AI investments remain focused on high-value work.
New Credit Usage Analytics in the Global Admin Console
The Global Admin Console consolidates ChatGPT and Codex credit usage into a single view, enabling admins to see a more granular breakdown of credit consumption across users, products, and models. This helps them understand where spending originates and how it maps to actual credit usage, making it easier to differentiate between increased usage driven by valuable work and patterns that may warrant closer examination.
Admins can now:
- Track usage and credit trends over time
- Identify top users and emerging credit usage patterns
- 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
"Zipline's engineering has been all-in on Codex since January, and in recent months the broader company has adopted it. We asked the team at OpenAI to build usage analytics to help find and train-up folks who haven't adopted Codex, and for granular usage controls to keep spend predictable. These new tools are helping us faster scale productivity of our employees while keeping safeguards in place." -Ryan Oksenhorn, Co-Founder, Zipline
Spend Controls Designed Around How Teams Work
Earlier this year, OpenAI introduced granular credit usage limits for custom roles in ChatGPT Enterprise, allowing workspace owners to manage advanced model usage across different user types without applying one-size-fits-all restrictions.
Admins can now also set a default limit for their ChatGPT Enterprise workspace, configure limits for specific groups, and create individual overrides for people who need additional capacity. Employees can view their credit usage against their available budget, request additional credits when needed, and provide context about their work so admins can make informed decisions. This enables individual power users to continue working without interruption or the need to raise limits for everyone else.
Together, these updated controls help companies deploy AI more thoughtfully at scale while giving teams the capabilities they need for high-impact work.
Availability and Next Steps
ChatGPT Enterprise admins can begin using the new analytics and updated spend controls immediately. Users in these workspaces can also view their credit usage by navigating to their workspace settings.
More information is available in the help center on usage limits and the global admin console.
Organizations with questions about implementing controls for their workspace can contact OpenAI or reach out directly to their OpenAI team.