As more teams use AI, admins and business leaders need to understand where it creates value and where to invest next. Analytics in the Chat GPT Admin Console bring together usage and cost data, task insights, and outcome metrics across Chat GPT Work and Codex.

Usage analytics show where adoption is growing and spend is concentrated. The Usage view brings together active users, credits, and token usage. Filtering by group or user can reveal where adoption is low, giving admins a reason to review workflows and training needs.

The task classifier in Insights groups messages into use cases and tasks. Software engineering includes feature development and code maintenance; sales & revenue include account research and planning. Admins can filter by group to see how teams use AI, then work with business owners to decide which workflows to evaluate.

In task details, the Models, Reasoning, and Speed breakdowns show each setting’s share of credits. The Plugin leaderboard and Skills view show which tools support a task. The Outcomes view shows Codex contributions to merged commits and lines of code, alongside code-review activity.

The Admin plugin in Chat GPT Work lets admins compare adoption, spend, and tasks, then turn findings into reports for budget and rollout decisions. With the Admin API, teams can automate reports in their own dashboards and combine analytics with business-system data.