Most SAP training works exactly as designed.
People attend sessions.
They complete courses.
They pass assessments.
Everyone checks the box and moves on.
Then go-live happens.
Suddenly, the same teams that were “trained” are opening tickets, asking basic questions, and relying on a small group of internal experts just to get through everyday work.
This usually gets framed as a training failure. In reality, it is a mismatch between how SAP is taught and how SAP is actually used.
Traditional SAP training is almost always linear.
Users learn transactions in sequence.
They walk through clean examples.
They practice in scenarios where everything behaves as expected.
Real SAP work looks nothing like that.
Day-to-day usage is fragmented and contextual. Users jump between roles, systems, and priorities. Problems rarely present themselves the way they did in training. The challenge is not that users forgot everything they learned. It is that real-world situations do not mirror training environments closely enough for that knowledge to transfer cleanly.
By the time friction shows up, the resources meant to help are usually hard to access. Guidance might live inside an LMS, buried in documentation, or with a handful of experienced users who are already stretched thin.
At that point, learning pauses and survival takes over.
When users cannot resolve issues on their own, the organization adapts.
Support tickets increase.
Senior users get pulled into constant interruptions.
Managers start accepting inefficiency as “just how SAP works.”
Over time, this creates a costly pattern.
SAP knowledge becomes centralized instead of shared.
Teams slow down as processes grow more complex.
Training ROI erodes, even if early adoption metrics looked healthy.
Because the system itself is technically functioning, this pain often goes unaddressed.
Teams that consistently get value from SAP do not treat training as a one-time event.
They treat proficiency as an operational capability.
Instead of asking, “Did we train everyone?” they ask more practical questions.
Can users resolve issues when they arise?
Can new hires ramp without constant hand-holding?
Do support tickets decrease as experience grows?
These teams focus less on course completion and more on problem resolution. They build systems that support learning at the moment of need, not weeks earlier in a classroom.
The biggest gap in most SAP environments is not content. It is access.
When users get stuck, they do not need another course. They need guidance tied directly to the task they are trying to complete, inside the system they are already using.
This is where scenario-based, in-environment learning changes the equation.
Instead of relying on memory, users practice in real SAP environments. They work through realistic scenarios and get help while doing actual work. Formal training still matters, but it becomes usable instead of theoretical.
AI does not magically fix SAP proficiency.
What it does well is remove friction.
When applied correctly, an AI-driven tutor can answer questions in context, adapt to what the user is trying to accomplish, and reinforce learning through action rather than memorization.
The value is not that it is “AI.”
The value is that users do not have to stop working to get help.
That is the difference between training that fades and training that compounds.
Teams that add in-workflow support tend to see gradual but meaningful change.
New hires ramp faster because they are not waiting on answers.
Experienced users rely less on tribal knowledge.
Support teams stop answering the same questions repeatedly.
Over time, SAP stops feeling like a bottleneck and starts behaving like an asset again. Not because the system changed, but because how people learn inside it did.
If SAP proficiency matters to your business, it cannot live solely in courses and certifications.
It has to show up in daily workflows, during real tasks, and at the exact moment users get stuck.
That is where training stops being theoretical and starts driving outcomes.
Teams that recognize this early do not just train better.
They operate better.
If you’re evaluating how to support SAP users after go-live, you can see what in-workflow, scenario-based support looks like in practice here:
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