Setting Up SAP AI Projects for Success Avoiding “Junk AI”
Setting Up SAP AI Projects for Success—Avoiding “Junk AI”
AI is rapidly becoming central to SAP-led transformation programmes—but too many initiatives are being rushed, poorly scoped, and built on weak data foundations. The result? “Junk AI” that looks impressive in demos but fails to deliver real business value.
In this article, I explore what it actually takes to set up SAP AI projects for success. From data readiness and process alignment to realistic use case selection, the focus is on getting the fundamentals right before scaling AI ambitions.
For CIOs, CFOs, and transformation leaders, this is a practical guide to avoiding common pitfalls and ensuring AI delivers measurable, sustainable outcomes—not just hype.
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Alisdair
About the Author
Alisdair Bach is a recognised SAP Programme Director and turnaround specialist — often called a “turnaround king” by clients for his ability to stabilise and recover the most complex and failing SAP programmes. With decades of experience across global private equity and public sector portfolios, Alisdair has led high-stakes SAP S/4HANA transformations, finance and supply chain turnarounds, and complex delivery rescues.
Alisdair is also a SAP analyst working to define for investors where next with SAP, he is a author and lecturer, he defined the SAP upcycling concept as the alternate narrative to rip it out and start again clean core that is counter intuitive to AI adoption and SAPs 5X growth strategy.
Through Dragon ERP, he brings board-level assurance, forensic diagnostics, and hands-on leadership to programmes that others have written off — combining empathy with no-nonsense execution to deliver results where failure once seemed inevitable.
