You can deploy the best AI in the world, but if your team can’t use it confidently, it delivers nothing. Training is what turns a capable system into capable people — and most “AI training” misses because it teaches concepts instead of competence. Here’s what works, and how dgm includes it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

Why most AI training fails

The default is a generic session: what AI is, some buzzwords, a public-chatbot demo. People leave mildly informed and change nothing, because abstract literacy doesn’t translate into doing the job differently. Effective training is the opposite — grounded in the specific tasks your people do, on the specific tools they have.

What effective training looks like

  • Practical and hands-on. People learn AI by using it on real tasks, with guidance — not by watching slides.
  • Role-specific. End users need to do their job better; power users need to build and adapt; admins need to manage and govern. Tailor to each.
  • On your own tools and workflows. Training on your deployed AI doing your actual processes means people leave ready to use it immediately.

The goal is competence and confidence — a team that can use, trust, and extend the AI.

Training drives adoption

Training isn’t a nice-to-have at the end — it’s how adoption actually happens. Confidence comes from competence, and competence comes from practice. It’s also how you build ownership: a well-trained team can run and extend the system themselves, which is healthier and cheaper than permanent dependence on a consultant.

Build capability, not dependence

The best training leaves your people more capable over time, not reliant on outside help for every change. That’s the real measure: can your team own the system?

How dgm helps

dgm builds role-specific, hands-on training into every engagement rather than selling it separately — part of the $3,999/month implementation (after a $399 assessment), with the goal of leaving your team able to own the AI (see AI training for teams). If you’d rather explore the platform yourself first, go straight to osFoundry; if you want your team genuinely capable with AI, that’s where dgm comes in.