OpenAI adds usage analytics and spend controls to ChatGPT Enterprise
OpenAI launched new usage analytics and enhanced spend controls for ChatGPT Enterprise, enabling organizations to monitor and manage AI costs at scale. The new features provide workspace admins with granular visibility into ChatGPT usage patterns and allow setting spending limits by seat type or per-user, aligning expenditure with organizational needs. Admins can now set credit usage limits for specific user cohorts or entire seat categories, overriding defaults where needed.
The controls are designed for operational cost management without replacing privacy and chat-visibility rules. Organizations can track credits consumption across their workspace and set soft or hard spending caps to prevent budget overruns. This release comes as enterprises move AI from pilot to production phases, where unmanaged usage can create runaway costs. OpenAI also separately released workspace-level agent activity analytics and extended the free trial period for workspace agents until July 6, 2026, when credit-based pricing begins.
For IT and finance teams evaluating ChatGPT Enterprise, spend controls address a critical deployment blocker: demonstrating cost predictability. As organizations scale ChatGPT usage across teams, per-user per-month pricing becomes opaque without usage visibility. These controls enable the kind of departmental chargeback and budget forecasting that enterprise procurement requires for broad adoption.
Sources
- Primary source
- tradingview.com
“OpenAI on Thursday launched new usage analytics and updated spend controls for its ChatGPT Enterprise platform, designed to provide clients with greater visibility and management over their AI deployments”