AI in SAP
Where AI pays off in an SAP landscape, and where a deterministic check should stay in charge.
From the ice to the cloud.
Jari Pietsch, Solution Architect & Senior Consultant
SAP architecture where AI
has to earn its place.
I help SAP customers decide where AI pays off, build it so it stays auditable, and keep the ERP doing what it does best.
Focus areas
SAP architecture
BTP, clean core extensibility, and a second opinion before a landscape gets expensive to unwind.
SAC planning and analytics
Planning and finance analytics on SAP Analytics Cloud, fed by CDS and embedded analytics in S/4HANA.
Data beside the ERP
Pipelines and external market data that sit beside the ERP, with only the result written back.
How I work
AI thinks. Humans and deterministic logic touch.
- Start with the decision. If a model does not change a decision or remove a concrete piece of work, it does not belong in the process.
- Bound the model. It can propose. Posting, paying, and changing master data stay with people and deterministic checks.
- Leave the ERP as the system of record. What sits beside it writes results back, and those results stay auditable.
What I build
Analygits
Git version control for SAP Analytics Cloud. The SAC syntax MCP is part of it.
analygits.com (opens in a new tab) · Chrome Web Store (opens in a new tab)
CoConsultant
AI-powered SAP Clean Core design partner. Web app.
paperite
An on-device meeting notebook: recording, transcription, speaker separation, summaries.
paperite.app (opens in a new tab) · Mac App Store (opens in a new tab)
taktLife
Flashcards with spaced repetition. Create cards yourself or from a note, and review them offline.
takt.life (opens in a new tab) · App Store (opens in a new tab)
About
10+ years in SAP
Professional hockey with Eisbären Berlin, Dresdner Eislöwen and Bayreuth Tigers. SAP architecture today, based in Berlin and working across DACH.
Get in touch
Questions about AI, architecture or analytics in SAP? Get in touch.