Group Training
Practical AI training for teams and organizations who want clarity, confidence, and shared ways of working, grounded in real workflows and real decisions.
This is group-based training, focused on how people think about and apply AI at work, not just where to click.
Beyond writing emails and presentations
Most people start using AI by writing emails or polishing decks. That’s a useful entry point, but it’s only a small part of what’s possible. When AI use is planned for, it can help people and teams: - See patterns and insights across documents, feedback, and information - Think more clearly and quickly, not just write faster - Explore options and tradeoffs before decisions are made - Reduce cognitive load, freeing time for judgment and leadership - Build repeatable workflows, not one-off prompts Many professionals aren’t aware of these possibilities yet. That’s not because they’re behind, but because they haven’t had the chance to see what good AI use looks like in their own context.
What is training for?
Training works best when the goal is shared understanding and forward momentum across a team or organization. It’s a good fit if you: - Want to introduce AI to a team in a relaxed, thoughtful, and responsible way - Need shared language, expectations, and guardrails around AI use - Are seeing uneven or ad hoc adoption and want more consistency - Want to reduce risk while increasing confidence and capability - Need learning that respects different roles, comfort levels, and ways of working Training is designed to help groups move forward together, not just learn tools in isolation. If you’re looking for private, one-on-one support tailored to a single role or set of decisions, coaching is likely a better fit
What do we work on together?
Training goes beyond tool demonstrations. The focus is on helping teams build strong foundations and practical habits they can use together. Depending on your context, training may include: - Thinking critically about how work is changing, and where AI makes sense - Understanding how AI fits into your organization’s work, roles, and values - Moving from ad hoc experimentation to shared, repeatable workflows - Setting up projects, notebooks, or team-based structures - Using connectors to work with real documents and systems - Creating role-based GPTs or Gems to support common tasks - Introducing the building blocks behind early-stage agents, at an appropriate level - Clarifying boundaries, expectations, and human oversight
How does training work?
Training is live, facilitated, and designed to meet people where they are. Sessions are structured, but flexible. We work with real scenarios, encourage questions and discussion, and adjust the pace based on the group and the context. Learning reflects the fact that people come in with different roles, experiences, and comfort levels. Sessions combine short explanations with hands-on activities, giving people multiple ways to engage and make sense of the material.
What tools do we focus on?
This may include: - ChatGPT - Microsoft Co-Pilot - Google Gemini and NotebookLM - Canva, when relevant The specific tools we focus on are shaped by what your organization already uses or has access to.
What do teams walk away with?
After training, teams don’t just understand AI better. They use it more intentionally, consistently, and with greater confidence. Teams can expect: - Greater confidence using AI in everyday work - Shared language and expectations around AI use - Clearer judgment about where AI helps and where it doesn’t - More consistent approaches across roles and teams - Practical workflows and structures that support collaboration - Reduced anxiety and fewer missteps as AI use grows
How will we work together?
Training is available in the following formats: - In person (On-site training in GTA) - Online (Live, facilitated sessions delivered virtually) Formats and session structure are confirmed as part of the proposal process, based on your goals, group size, and timing. To support open participation, sessions are typically not recorded. Any exceptions are discussed during the proposal process.