We've trained hundreds of people on AI. Teams at the Miami Marlins. Students in the Mark Cuban Foundation AI Bootcamp at Northeastern University Miami. Executives at financial firms. Marketing departments. Operations teams.
Here's what we've learned: most corporate AI training doesn't stick. And the reason is almost always the same.
Why Most AI Training Fails
The typical corporate AI training looks like this: a vendor comes in, does a two-hour presentation on what AI is and what it can do, everyone nods, and then nothing changes.
The problem isn't the information. People get the concept quickly. The problem is that nobody practices. Nobody builds anything. Nobody applies it to a real problem on the day they learn it.
Adults learn by doing. AI training that doesn't include doing is just an expensive lunch meeting.
What Actually Works: The Framework
After running programs across industries and team sizes, here's what consistently produces measurable AI adoption within 30 days:
1. Start with their problems, not the technology
Before we teach anyone how to use a tool, we ask: what takes you the most time every week? What's the most tedious part of your job? What do you wish you could do faster? AI training that starts with use cases relevant to the actual team produces 3x the adoption of training that starts with tool overviews.
2. Hands-on from the first hour
Within 60 minutes of starting any session, every participant should have typed a prompt and gotten output. Not watched someone else do it. Done it themselves.
3. Build something on day one
Every person who goes through our training leaves day one with a working prototype of something useful for their actual job. A better email template. An automated workflow. A custom prompt they'll actually use again.
