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July 5, 2025 · Last updated on August 29, 2025

Empowering and supporting your team

Empowering and supporting your team
# Administrators
# Launch

Learn how to engage with your team to drive adoption and value of ChatGPT

Empowering and supporting your team

Empowering and supporting your team

The first 30 days are the best time to build strong habits and momentum with ChatGPT—and that starts with getting everyone enabled and activated as early as possible. Use your launch moment to orient users on why ChatGPT matters to their day‑to‑day work (your strategic company vision), how to start using ChatGPT (use cases for their role and training materials), and how to share wins across their teams. 
Employees embrace tools when they see clear, relevant benefits — and when they’ve learned how to use them well. Email and chat templates are available in the ChatGPT Communications Toolkit.


Increasing engagement and proficiency

Equipping employees with the skills and knowledge to use ChatGPT confidently is a cornerstone of a successful launch. Plan a robust enablement program that meets users at their skill level:
  • Foundational training for all users: Provide easily accessible training so every employee understands ChatGPT’s capabilities. The OpenAI Academy for Work Users is a great place to start for new users to access short videos, feature overviews, role-specific guides, and attend live trainings.
  • Internal champions network: Build an internal community of AI champions or super-users across teams. These volunteers can coach peers, host office hours, and help drive adoption on the ground - as well as provide feedback to leadership about adoption challenges and opportunities. See the OpenAI Academy for Champions for more resources on champion networks.
  • Hands-on workshops and peer learning: Reinforce training with interactive activities. Host hackathons, lunch-and-learns, or “AI innovation labs” where employees practice using ChatGPT on real scenarios. Pair new users with experienced power-users for one-on-one mentoring.
  • HR and L&D involvement: Partner with HR/Learning teams to integrate AI training into existing learning paths. These teams can help drive the cultural change — normalizing AI use and addressing apprehension.


Designing impactful use cases

ChatGPT can enhance nearly every function, but identifying the right starting points requires a blend of top‑down and bottom‑up thinking. Top‑down use cases flow from company goals—e.g., “reduce customer support response times 30 %.” Bottoms‑up use cases emerge organically from user experimentation—like an SDR shaving ten minutes off every prospect‑research task—and surface quick wins that may be broadly applicable across people and teams.

Finding great use cases

  • Educate on broad AI use cases: OpenAI has found that most business use cases fall into six broad categories or “primitives” – content creation, research, coding, data analysis, ideation/strategy, and task automation. Anchoring on these helps spur ideas: employees can more easily spot opportunities in their day-to-day tasks by thinking within these categories. Share our guide to Identifying and Scaling AI Use Cases with your team.
  • Crowd-source ideas: Gather input on high-impact problems from those closest to the work. For example, have leaders brainstorm with their teams “What repetitive tasks or information gaps do you face in your role today?” Collect these ideas and share them across teams - you may be surprised at how different teams work on very similar tasks.
  • Departmental roadshow – Join existing department meetings to give a short, informal overview of how ChatGPT can support their work. Keep it tactical—walk through a few relevant examples based on their roles, show how to structure a good prompt, and leave time for questions or live demos using real tasks. 
💡Share OpenAI’s Use Case for Work GPT to spark discussion.
  • Use an impact–effort matrix to surface “quick win” ideas, while a dedicated internal team scopes the high‑impact, high‑effort initiatives such as sophisticated integrations or API-driven workflows. Encourage the broader user base to experiment and document lightweight wins, and in parallel keep the focused team advancing the larger roadmap.


Driving adoption of use cases

  • Use case ownership and tracking: Assign owners for major use cases so they can refine and drive adoption of those solutions (e.g. someone in HR owns the “ChatGPT for performance review prep” use case).
  • Codify and scale – Turn your highest-impact use cases into a templated playbook (problem, prompt, steps, KPI); store these somewhere easily discoverable.
     
    

Use case design tips

  • Use a consistent structure to talk about use cases internally: "As a [role], I use ChatGPT to [task] using [capability] because [benefit]."
  • Add measurable impact (e.g., time saved, quality improved) to use cases you design and document.
  • Ask ChatGPT for help in brainstorming or measuring use cases. The Use Cases for Work GPT built by OpenAI is a great place to start.


Driving ongoing usage and engagement

The AI landscape is evolving rapidly—launching ChatGPT is not a one-time event, but an ongoing effort that requires continuous learning, iteration, and engagement to realize its full value and make it a habit for your employees.
  • Rotate and repeat enablement activities: Don’t stop enablement activities after launch. Re-run some of the launch-phase activities to reach new employees or re-energize existing users, especially as new ChatGPT features and functionality are released. See ChatGPT release notes and continue to reinforce via internal communications.
  • Expand use case breadth: As comfort grows, encourage departments to integrate ChatGPT deeper into their workflows or tackle more ambitious projects. Start with assisting individual tasks, then progress to automating multi-step processes, and eventually creating AI-driven internal workflows.

Create a culture of learning and adaptation

AI adoption is as much about people as it is about tools—and people learn fastest through hands‑on experimentation. Generative AI behaves more like a creative colleague than a static piece of software; you uncover its strengths, limits, and quirks only by iterating on real tasks, adjusting prompts, and observing and sharing the results. 
To foster a culture of learning:
  • Encourage experimentation and normalize learning in public at all levels of the organization – Launch a weekly “Prompt Playground” thread for prompt/response GIFs, reward the most‑liked entry, and run 15‑minute “Show & Tell” segments in existing meetings.
  • Highlight success stories and facilitate peer‑to‑peer learning – Publish a bi‑weekly ChatGPT Wins newsletter, rotate authors across departments, and share detailed playbooks for the most transferable use cases
  • Create channels for sharing insights and celebrating progress – Stand up a #chatgpt‑wins Slack or Teams channel.



Next >> Measuring impact and ROI


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