How to connect AI usage to business value

According to OpenAI, administrators and business leaders utilizing ChatGPT Work and Codex can now leverage new analytics features in the ChatGPT Admin Console to evaluate AI adoption, spend, and business impact. The tools combine usage and cost data with task insights and outcome metrics, helping organizations identify training needs and assess where AI creates value. Usage analytics display active users, credits, and token consumption, allowing admins to pinpoint groups with low adoption and review workflows. Additionally, a task classifier groups messages into specific use cases, such as software engineering and sales, giving teams visibility into how AI supports daily tasks. Model, reasoning, and speed breakdowns further help admins optimize tool settings. For engineering teams, the Outcomes view tracks Codex contributions to merged commits, code lines, and code reviews, enabling leaders to evaluate software delivery effectiveness. Organizations can also use the Admin plugin and Admin API to automate reports and generate leadership decks for budget rollouts. OpenAI notes that while usage data provides a baseline, collaborating with business owners is essential to connect product activity to financial outcomes, delivery times, and quality improvements. Customer examples, such as 1Password and ATV Big Air Tour, demonstrate how companies use these tools to estimate return on investment, reduce task completion times, and scale engineering capacity.