Solutions
Know where your people stand, and prove they grew.

A finished course shows that someone took part. It doesn't show that they now work differently. So we watch people do real work with AI, score what they actually do, and measure again after the learning track.
The Skill Growth Assessment measures data & AI skills by what people do, not by what they attended. It follows your own skills framework, or our Data & AI Skills Framework, with one assessment per level, in your own words.
Before and after the learning track, people spend about 20 minutes on three parts: a short form, a chat with an AI interviewer, and a hands-on task in the AI tool they use. The task runs on fictional data with one planted error that only checking finds, so we never need your own data.
Everyone gets a score from 0 to 300 in four bands, benchmarked against other organizations. Each learner sees their own report; leadership sees only the group.
22% average skill growth
At PGGM, 80% of colleagues completed the mandatory track within four months across 500+ learners, and skills grew 22% on average, measured before and after the program. At Royal Jaarbeurs, learners in four persona profiles grew 16% on average.