This is not a training event your team sits through and forgets. It is a practitioner-led experience where every exercise uses your team's actual work, every prompt they write is theirs to keep, and every outcome is built for the organization they go back to on Monday.
"I did not gain AI literacy in a classroom. I piloted it inside a global institution, navigated the governance, sat with the skeptics, and watched what changed when people stopped being afraid of the tool."
-Coach Kwok
Before we design anything, we find your team's starting point.
The Discovery conversation takes 30 minutes and sets the foundation for everything that follows. We talk about your team, your tools, and where the real friction lives. There is no pitch deck. Nothing is proposed until we both know this is the right fit.
The Problem: The tools are there. The confidence is not.
Your team has access to the same AI tools as your competitors. The difference is whether they know how to use them or whether they're afraid to try.
01 - Passive adoption
Tools get rolled out. Training does not follow. People experiment in isolation or not at all.
02 -Fear of looking uninformed
Mid-career and senior professionals often hold back. Asking "basic" questions carries risk in a hierarchical environment.
03 - No shared language
Teams cannot collaborate on AI workflows when half the room is confused by the vocabulary and the other half is overconfident.
04 - Governance gaps
People use AI without understanding what they should not share with it. One careless prompt is a compliance event.
Step 1 |Discovery and Tailoring
What you bring: A team with a specific context, industry, and set of AI concerns that a generic training deck will not address.
What we do:Before anything goes on a slide, we run a focused intake conversation to understand what your team already know and uses, where adoption is stalling, and what real-world implications that means for them as a team. That context shapes the examples and the framing of NEXT's engagement.
What you leave with:A workshop built around your team's actual work, not a templte retrofitted to fit it.
Step 2 |The Workshop
Part 1 - AI Foundations
What you bring: A team at different comfort levels with AI.
What we do: We build a shared vocabulary from the ground up. No jargon. No assumed knowledge. Every participant writes and runs a real prompts using their own work as the example, not a generic demonstration someone else built.
What you leave with: A room that is no longer divided between the people who get AI and the people who do not. Everyone leaves having done it, not just watched it.
Part 2 - AI applied to Your Work (Full-day format only)
What you bring: The real tasks your team does every week. The communications, the decisions, the workflows that eat time and energy.
What we do: We move from foundation to application. Your team uses AI to work through actual challenges in their roles. This is where adoption stops being a concept and starts being a practice.
What you leave with: Prompting skills they can apply to their actual role the next morning, and a personal AI action plan every participant owns before they leave the room.
Step 3 |AI Leadership Briefing
Optional add-on. Available standalone or alongside any workshop format.
What you bring: The weight of decisions your team is waiting on you to make.
What we do: We cut through the noise together. No slides pushed at you. No vendor pitch. Just a direct, working conversation about what is actually happening in AI right now, what it means for your organization, and where your leadership attention belongs.
What you leave with: Clarity on where to start, a shared framework for responsible adoption, and a sharper sense of what questions to ask next.
Step 4 |The 30-Day Follow up
Included in the AI at Work full-day format.
What you bring: The questions that only surfaced after your team went back to their desks.
What we do:We answer them. We troubleshoot what did not stick, reinforce what landed, and address the gaps that real usage revealed.
What you leave with:Real adoption, not just attendance. A team that has moved from the workshop into a weekly AI habit.
Questions you probably have
What's the first step if we want to work with you?
Most clients start with a 30-minute discovery call to define the right format and get a proposal within one week. All formats are customizable. Pricing varies based on team size, location, and preparation required. Contact for a proposal
Our team already has access to Copilot, Claude, and ChatGPT? Why do they need a workshop?
Access is not capability. Most teams have the tools and no framework for using them well. They prompt poorly, second-guess the output, and quietly avoid the tools when stakes are high. This workshop builds confidence, not just familiarity. The goal is a team that knows when to use AI and how to prompt it for their specific work. That does not come from a license. It comes from practice with someone who has done it at scale.
We have done AI training before. How is this different?
Most AI training is built by vendors selling a product or by instructional designers who have not used the tools inside a real organization. This workshop is practitioner-led. Every example, every caution, and every governance principle in the room comes from someone who deployed AI inside a global financial institution, built responsible AI frameworks across multiple jurisdictions, and coached leaders through adoption resistance firsthand. The difference shows in the questions participants ask and the answers they get.
How do we know this will stick after the session?
Three things drive retention: First, participants build their own prompts during the session using their actual work, not hypothetical scenarios. Prompts they wrote themselves are prompts they will use again. Second, every participant in the full-day workshop leaves with a personal AI action plan they built in the room. Third, the AI at Work format includes a 30-day follow-up Q and A session to troubleshoot what surfaced once people returned to their desks. The session is the beginning, not the deliverable.
We have a mixed team. Some people are tech-savvy. Other are not. Will this work for both?
Yes, and this is by design. The workshop explicitly closes the gap between early adopters who are overconfident and colleagues who are anxious and holding back. The format creates a shared starting point so both groups leave with the same vocabulary, the same baseline, and a real reason to collaborate on AI workflows going forward.
Ready to talk about your team? We scope every engagement to your size and goals. Most clients start with a 30-minute discovery call.