Companies invest hundreds of thousands of euros in SAP. Then tens of thousands in training. A year later, the verdict is always the same: nobody uses it properly. The problem isn't SAP : it's that real user proficiency is never measured.
The adoption black hole
Vendors deliver generic training. Three days of slides, an end-of-session quiz, and that's it. No follow-up over time. No measurement of what users actually do in the system. Bad habits set in, workarounds multiply, and the SAP investment delivers only a fraction of its value.
Measure instead of train
The opposite approach works: instead of training and hoping, measure first. An AI evaluation tool asks concrete questions : "How do you create a purchase order?" : and analyzes the answer. Is the method correct? Is there a faster path? Does the user know the key transactions?
The result: an individual proficiency score, per module, per team. Not a feeling : an objective measurement.
From scoring to change management
The score isn't an end in itself. It feeds dashboards that let leadership steer adoption: which modules are underused, which teams need support, where process errors concentrate. Change management becomes data-driven instead of intuition-driven.
Why AI changes the game
A traditional quiz is static : 20 identical questions for everyone. An AI evaluation tool adapts: it understands natural-language answers, detects sub-optimal methods, and proposes personalized learning paths. It can evaluate hundreds of users simultaneously without mobilizing trainers.
The decisive advantage: no IT connection required
Unlike agents that integrate directly into SAP (with the risk of breaking updates and endless IT approvals), an evaluation tool runs alongside the system. No connection to the information system, no compliance to negotiate, no risk to production. Deployable in weeks, not months.