New usage analytics and updated spend controls for enterprises
ChatGPT Enterprise now offers new usage analytics and enhanced spend controls, providing administrators with greater visibility and management capabilities for their AI deployments. These tools allow businesses to track credit consumption, understand adoption patterns, and optimize AI investments across their organizations.
As AI integrates into daily operations, organizations require robust management tools to oversee it like any other critical business investment. Companies need clear insights into usage, adoption, and expenditure to confidently scale and identify where AI generates value. This ensures that AI deployments are strategic and effective.
Today, we are rolling out credit usage analytics and updated spend controls for ChatGPT Enterprise. These features help companies monitor credit usage, understand adoption trends, and make more informed decisions about AI deployment. Improved visibility and flexible controls enable proactive cost management, appropriate team access, and focused AI investments on high-priority work.
The Global Admin Console now unifies ChatGPT and Codex credit usage, offering a detailed breakdown of consumption by users, products, and models. This helps administrators pinpoint spending origins and correlate them with actual credit usage, distinguishing valuable work-driven increases from patterns needing review.
Admins can now set default workspace limits, configure group-specific limits, and create individual overrides for users requiring more capacity. Employees can view their credit usage against their budget, request additional credits with context, allowing admins to make informed decisions. This supports power users without universally increasing limits. These combined controls enable thoughtful, scalable intelligence deployment, empowering teams for high-impact work.
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