Enterprise team training
Hands-on enterprise AI training.
Help your teams use AI on the work they actually do—not just write better prompts. We create role-specific exercises, lead practical cohorts, and assess fresh cases using your approved tools. Your instructors get a guide to train the next team.
Start with a short written brief. We’ll reply by email about fit and scope.
Our developer community & event network
See our community work
Companies featured on Tokens&’s community site. These relationships relate to developer adoption and events, not claims of enterprise training engagements.
The work
Practice that transfers to work.
Role-specific exercises
Build labs from recurring tasks, with buyer-approved sample inputs, clear human decisions, and the same approved tool your teams will use.
Facilitator-led cohorts
Staff work through the evidence, compare decisions, and receive guided feedback. Cohorts are shaped around roles, not generic prompt tips.
A fresh-case assessment
Assess a case learners have not practiced. Check whether they can complete it unaided, identify errors, and escalate decisions appropriately.
Train the trainers
Give internal instructors exercises, answer keys, scoring rules, and facilitator notes they can use to teach the next team consistently.
The handoff
Work you can inspect.
An employer can inspect a learner exercise, its answer key, and a facilitator note before agreeing the programme. The handoff includes role-specific labs, a fresh-case assessment, and a train-the-trainer guide.
See the learner exercise, answer key, and facilitator noteAgreed in scope
Consistency at your scale.
Architecture, participant numbers, delivery mode, and languages are agreed in the scope. An optional 30-day adoption review uses only buyer-authorized evidence. Reported use means what staff say they used; observed use means work or tool activity supported by authorized evidence. The review keeps those two sources separate and makes missing evidence visible.