Why many AI projects in the SAP environment fail (and how to do it right)
Hello everyone,
Our experience in recent months shows that Most AI projects do not fail because of the technology. They fail because of false assumptions.
We are seeing a recurring dynamic in the SAP environment in particular:
- High expectations
- Rapid pilot projects
- Disillusionment in the company
Why is this the case – despite mature technologies?
The actual causes (a deeper look)
1. lack of process integration
Many AI solutions run “alongside the SAP system”.
Consequence:
- No use in everyday life
- No measurable impact
AI must be part of the transaction flow (e.g. directly in Fiori apps)
2. technical silos (BTP vs. core)
Typical pattern:
- Model runs on BTP
- SAP Core remains unchanged
- Integration is minimal
Result:
- Media breaks
- Lack of scalability
Successful projects think architecture end-to-end
3. underestimated operating expenses
After go-live, the real work begins:
- Model monitoring
- Retraining
- Data maintenance
Many business cases completely ignore these costs
4. lack of ownership
Who “owns” the model?
- IT?
- Department?
- Data Team?
Without clear accountability:
→ no sustainable operation
5. unrealistic expectation of automation
AI is often seen as a substitute for decision-making.
In reality:
- AI supported
- Man decides
Successful projects clearly define this boundary
An approach that works in practice
Phase 1: Use case validation
- Clear business impact
- Check data availability
- Quick prototype
Phase 2: Integration
- Embedding in SAP processes
- Consider UI/UX
- Define roles & authorizations
Phase 3: Operation
- Monitoring (Accuracy, Drift)
- Governance
- Continuous optimization
The most important insight
AI projects are not projects.
They are products that need to be operated.
Conclusion
Anyone who treats AI like a classic SAP project will fail. Success comes to those who think about technology, processes and operations together.
You don’t just want to pilot AI, you want to use it productively?
We support you in setting up a sustainable AI architecture in the SAP environment.
See you soon and good luck!
Your amotIQ solutions team