ChatGPT for Leaders
Leaders and the people who own the rollout: heads of function, IT and security leads, L&D, and anyone signing the contract
Prerequisites: Module 301 (ChatGPT 101) or equivalent experience. Module 104 (AI for Your Team) helps.
Last verified 2026-09-17
Learning objectives
By the end, participants can:
- Choose between Business and Enterprise for a given organisation, and explain the seat model (Standard $25 per user per month ($20 annual), Premium $125 per user per month ($100 annual), two-seat minimum, 200-seat maximum)
- Describe the workspace admin surface (profile icon > Workspace settings, with General, Members, Groups, Permissions & roles, Models, GPTs, Apps, Workspace analytics and Identity & access) and the decisions that belong in week one
- State the data and training defaults (excluded from training by default on Business, Enterprise and Edu) and what changes them
- Set an adoption baseline from workspace analytics (Workspace settings > Workspace analytics, or chatgpt.com/admin/usage) and impact surveys
- Place OpenAI Academy's pathways (Foundations (AI Foundations, Applied AI Foundations, Agents and Workflows), Codex (Get Started with Codex, Extend Codex Workflows, Scale Codex Across Governed Teams and Systems), API (five courses), plus the standalone AI Leadership course) in a training plan without overselling them
- Write a 90-day plan with owners, gates and a stop condition
What's in this module
7 lessons · 5 exercises · ~7 min reading
Starts withThe four questions~1 minExecutive summary
You will learn how to roll ChatGPT out across an organisation: which plan (Business (Standard or Premium seats), Enterprise, Edu), what the workspace admin surface controls, where the data and training defaults sit, how to measure adoption with what OpenAI provides, what OpenAI's training and certification landscape offers your people, and a 90-day plan that survives contact with a real company. End state is a plan choice with reasons, a first-week admin checklist, a measurement baseline you can defend, and a 90-day plan with owners. After this module you can answer the four questions every rollout meeting opens with (which plan, is our data safe, who can do what, how will we know it worked), and run the first quarter without inventing governance on the fly.
Sources
- OpenAI Help Center, "ChatGPT Business: General FAQ", seat types, prices, limits, the Team rename and what Business does not include: https://help.openai.com/en/articles/8542115-chatgpt-business-general-faq
- OpenAI Help Center, "Managing data, sharing, and privacy in ChatGPT Business", the training default, chat visibility and analytics boundaries: https://help.openai.com/en/articles/8798634-managing-data-sharing-and-privacy-in-chatgpt-business
- OpenAI Help Center, "ChatGPT Enterprise admin quickstart", the recommended setup order the week-one checklist follows: https://help.openai.com/en/articles/20001264-chatgpt-enterprise-admin-quickstart
- OpenAI Help Center, "Managing workspace settings in ChatGPT Enterprise", the admin surface and its sections: https://help.openai.com/en/articles/8411955-managing-workspace-settings-in-chatgpt-enterprise
- OpenAI Help Center, "Workspace analytics for ChatGPT Enterprise and Edu", what the dashboard measures and what it does not: https://help.openai.com/en/articles/10875114-workspace-analytics-for-chatgpt-enterprise-and-edu
- OpenAI Help Center, "OpenAI Academy courses", the pathways, badges and the line that they are not certifications: https://help.openai.com/en/articles/20001270-openai-academy-courses
Prefer the live room?
This module also runs inside our in-person bootcamps and workshops in Copenhagen.
Rolling this out across an organisation?
We run this material as executive briefings and team programmes, tailored to your stack, your data policies, and your pace.
More in Track I
AI Strategy Briefing for Executives
What has changed in the assistants over the last eighteen months, what an organisation should do in the next ninety days, and how to frame build versus buy, capability versus tools, risk posture and return on investment so the board can decide rather than defer.
Measuring AI Adoption
What the admin dashboards on all four assistants actually measure, how to take a time-saved baseline that survives a finance review, which quality signals to collect, and what good looks like at three, six and twelve months.
Gemini for Leaders
What a Gemini rollout across Workspace actually involves: which licences buy what, which switches the admin console has and what they default to, what Google commits to about your data, how adoption is measured with the reports you already have, what Google's own training and certification landscape offers, and how to sequence the first ninety days.