OpenAI adds spend controls and usage analytics for ChatGPT Enterprise

OpenAI has added usage analytics and tighter spend controls to ChatGPT Enterprise, giving administrators a clearer view of where credits go as enterprise AI shifts from experimentation to cost discipline. The new tools let managers track usage, identify top users, and break consumption down by user, product and model.

The most significant change is in the Global Admin Console, where ChatGPT and Codex credit usage now appear together. OpenAI said the same data is also available through a unified Cost API, opening the door for companies to run deeper analysis inside their own systems. Administrators can set monthly credit limits by workspace, group and user, while employees can request additional credits with context that managers can review before approving more capacity.

OpenAI’s help center says the Global Admin Console is designed as a single surface for ChatGPT Business and Enterprise/Edu customers to manage identity and access, analytics, agents and governance. The updated Analytics and Billing areas now include credit analytics, ChatGPT and Codex usage views, plan details, credit balances, grant activity, invoices, usage alerts and overage limit settings. In practice, that turns what had been a broad usage tool into a more detailed governance layer.

The update lands as OpenAI’s business footprint keeps growing. ChatGPT Enterprise was introduced on August 28, 2023, with enterprise-grade security and privacy, higher-speed GPT-4 access, longer context windows and advanced data analysis. OpenAI now says more than 9 million paying business users rely on ChatGPT for work, and more than 1 million business customers directly use OpenAI across ChatGPT for Work and the developer platform. Weekly Codex users have more than tripled since the start of the year to 1.6 million, a surge that helps explain why the company is pushing unified controls for both products.

The broader message is institutional, not cosmetic. OpenAI is trying to make enterprise AI look less like a black box and more like a managed business system, where budget visibility, accountability and policy enforcement matter as much as model quality. That strategy is also reflected in its wider enterprise push, including a Partner Network backed by a $150 million investment and a goal of training 300,000 certified consultants by the end of 2026. OpenAI has also named Frontier Alliance partners including BCG, McKinsey & Company, Accenture and Capgemini, signaling that the next phase of adoption will depend on governance as much as on raw capability.