AI training for employees, built on your actual work
Generic AI training teaches people prompts they'll forget by Thursday. Ours puts your staff in front of the workflows you've just rebuilt, running the tools on real work, with the rules they have to follow already written down.
Training is part of installing adoption. It isn't a course we sell separately, and it works better that way.
Why tool training doesn't stick
Your team has probably already sat through the generic AI talk. Somebody showed them a chatbot and a slide about how everything is changing.
What they didn't get was permission. They still don't know which uses are fine, which ones need someone to look first, what data can go in, or who to ask when they're not sure. So they either guess or avoid it. Both are expensive.
Training that lands answers the decision, not the interface.
What your team learns
- When AI fits the task, and when the task should be handled another way
- Which uses are supported, which need a review first, and which never happen
- What information can go into a tool, and what can't
- How to check output before anyone relies on it
- Who to ask, and how, when the situation is unclear
Managers get a second layer, because they're where the uncertain question lands first. They need to hold one standard across their team, spot use that's drifting, and route exceptions to the owner instead of inventing a local rule.
Where training happens
Inside Foundation. A team training session comes with the two to four week engagement, along with thirty days of email support.
Inside Adoption. This is the real one. Three to six weeks, and training is role-based, with your staff running the tools on real work. By then two priority workflows have been rebuilt as SOPs and shipped as working skills, so people are learning the actual system rather than a demo. Governance is signed, so the rules exist before the training references them.
Adoption ends on the handover test: your owner runs one monthly review without us, and it holds.
Full stage detail on how it works.
For associations and networks
If you're running sessions for your members rather than your own staff, that's a different offer and it's already built. Six modules, sixty to ninety minutes each, built around your members' industry and their words.
See workshops.
Who this is for
Canadian companies of 30 people and up, any industry, where staff are already using AI and nobody's told them what the rules are.
Questions
01 What should AI training for employees cover?
When AI fits the work, which uses need a review, what data can go in, how to check output, and who to ask. Tool features are the easy part and the part people retain least.
02 Is this a course or a workshop?
Neither, for your own staff. It's role-based training inside Adoption, where your team runs the tools on the workflows we've rebuilt with them. For association and network audiences, we do run standalone sessions. See workshops.
03 Do managers need something different?
Yes. Managers get the first uncertain question from their team. They need a short version of the rules plus a route for escalating, so they're applying one standard instead of writing their own.
04 Can you train our team without the rest of the work?
We'd rather not, and here's why. Training people on rules that don't exist yet, for workflows nobody's rebuilt, is where the forgetting happens. The training works because the system is already there.
05 How many people can you train?
Role-based cohorts, scoped to the business. Department rollouts and additional training cohorts are available as modules on Adoption.