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OpenAI adds analytics and spend controls to ChatGPT Enterprise

OpenAI Blog •
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OpenAI rolled out new analytics and spend controls for its Chat GPT Enterprise product, giving admins a unified view of credit consumption across users, products, and models. The Global Admin Console now aggregates Chat GPT and Codex usage, letting teams track trends, spot top users, and differentiate productive spikes from anomalous activity.

It also expands granular credit limits, letting workspace owners set default caps, group‑specific thresholds, and individual overrides. End users can see their remaining budget, request extra credits, and add context for admins to approve. This flexibility prevents blanket limit changes while ensuring power users maintain workflow continuity.

The new Cost API exposes the same usage data for external analysis, enabling firms to integrate credit metrics into existing financial dashboards. By surfacing spend patterns early, companies can align AI deployment with ROI goals and avoid unchecked cost growth. Admins can activate these tools today through the Global Admin Console.

Enterprises adopting the suite report clearer budgeting and faster approval cycles, as managers now pinpoint which projects generate credit consumption versus experimental usage. Chat GPT Enterprise gains stronger governance features, positioning it as a more controllable platform for large‑scale deployments.