OpenAI adds usage analytics and spend controls for ChatGPT Enterprise
OpenAI gave ChatGPT Enterprise admins a clearer view of who is using credits, what they are using and how fast costs are rising. The new controls also let workers request more capacity.

OpenAI is turning ChatGPT Enterprise into something finance, IT and compliance teams can police, not just pilot. The company rolled out new usage analytics and updated spend controls on June 18, giving administrators a fuller view of how credits are consumed across users, products and models, while also adding tools to cap, segment and override spending inside the workspace.
The Global Admin Console now shows credit usage across ChatGPT and Codex, broken down by individual users, products and specific AI models. That gives managers a way to spot adoption trends over time, identify heavy users and see where spend is building before the bill lands. OpenAI also said administrators can set a default credit limit for the whole workspace, create separate limits for specific groups and assign individual overrides for employees who need more capacity.

The controls matter because they pull enterprise AI deeper into normal budget discipline. Employees can now see their own credit usage and request more credits, including context about what they are working on, which could ease tension between workers who want broader access and finance teams trying to keep usage from running ahead of plan. OpenAI said the same credit data is also available through a unified Cost API, letting companies feed the numbers into their own internal systems for deeper analysis.
OpenAI’s help center said the Usage limits feature began rolling out on June 18, 2026. Weekly limits previously set in Permissions & roles will be automatically migrated to monthly workspace and group defaults on July 15, 2026. The company also said the new controls build on earlier granular credit limits for custom roles in ChatGPT Enterprise, part of a broader push to make usage easier to govern at scale.
The analytics stack behind the update is broader than spend alone. Workspace analytics for ChatGPT Enterprise and Edu already tracks unique active users, total messages, tool usage, SCIM group breakdowns, benchmarks and optional impact surveys. OpenAI Academy’s guide says the dashboard can also surface power users and adoption bottlenecks, which makes it useful for deciding where AI is actually taking hold inside a company and where it is stalling.
That operational focus reflects the business reality around generative AI. OpenAI said in 2023 that ChatGPT had been adopted by teams in more than 80% of Fortune 500 companies, and it now says more than 1 million business customers worldwide use its products. As enterprise adoption spreads, the winning product is no longer just the one with the best model. It is the one that lets employers see, meter and defend every credit they buy.
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