How to connect AI usage to business value
- ID
- 25209
- Status
- summarized
- Published
- 16 Sep 2026, 8:00 PM
- Fetched
- 17 Sep 2026, 3:58 AM
- Provider
- OpenAI News
- Category
- ai-labs
- Original URL
- https://openai.com/index/how-to-connect-ai-usage-to-business-value
- Source URL
- https://openai.com/news/rss.xml
Summary
- Score
- 5.5
- Created
- 17 Sep 2026, 3:59 AM
- Tags
- Audience
- saas_foundersai_agent_usersai_ml_learners
What happened
OpenAI introduced analytics in the ChatGPT Admin Console that combine usage, cost, task classification, and outcome metrics across ChatGPT Work and Codex. A task classifier groups sampled messages into use cases (e.g., feature development, account research), while breakdowns by model, reasoning, and speed show how credits are spent per task, helping admins target training and optimize model selection.
Why it matters
If your team pays for ChatGPT Work or Codex, you can now filter usage by group to find low-adoption teams, see which tasks consume the most credits, and test whether routine work should shift to faster or cheaper model settings rather than defaulting to the most expensive option. Founders managing AI budgets should use the Use cases table to identify which workflows actually justify continued spend.
Discussion angle
How do you currently justify AI tool spend to leadership, and would task-level credit breakdowns change which model settings your team defaults to for routine versus complex work?