SAP Joule
Joule enablement across S/4HANA and SuccessFactors — scoping, configuration, data preparation and user adoption.
AINew
SAP AI, Joule, and native AI product development
SAP AI (Joule, AI Core, AI Launchpad) plus native AI product and application development — productise AI into your SAP landscape rather than demo it in isolation.
What you get
Outcomesyou can measure
- Working AI inside SAP — not slide-ware
- LLM + RAG assistants trained on your own data
- Measurable ticket deflection and productivity gains
- A production-ready MLOps setup, not a notebook
Technology
SAP JouleSAP AI Core · AI LaunchpadSAP Business AILLM providers (OpenAI, Anthropic, open-source)RAG frameworks (LangChain, LlamaIndex)SAP HANA Cloud Vector Engine
What we deliver
Capabilities,one by one
AI Core + AI Launchpad
Deploy and operate AI models through SAP's native AI platform, with lifecycle management and governance built in.
LLM + RAG assistants
Retrieval-augmented generation on your SAP knowledge base, SharePoint, ITSM and vendor documentation — the pattern behind our User Self-Help Bot.
Native AI product development
Custom AI product builds (chatbots, decision assistants, forecast engines) tailored to specific business processes.
Fine-tuning + evaluation
Model selection, prompt engineering, fine-tuning where it makes sense, and formal evaluation suites so quality is measurable.
MLOps + deployment
Production deployment, monitoring, model drift detection and retraining pipelines — AI that keeps working six months later.
Beyond demo-ware
Most “SAP + AI” offerings are presentations. The ones that are products — like our User Self-Help Bot or Purchasing AI Bot — are the ones that got productised because they survived contact with a real client’s noisy data. Our AI practice defaults to that bar: nothing ships that we wouldn’t deploy on our own AMO landscape.
FAQ
Common questions
Should we use SAP Joule or build our own?
Joule is excellent for SAP-native use cases that benefit from first-party data access. Custom builds suit cross-system scenarios or when you need control over the model stack. We scope both patterns and recommend based on fit.
Where does the data live?
In your tenant. Our AI bots are designed so no proprietary data leaves your boundary — RAG lookups happen locally and LLM calls are either hosted in your cloud or routed through SAP AI Core.
What is SAP Business AI and how does it relate to AI Core?
SAP Business AI is the umbrella for AI capabilities embedded in SAP applications — Joule, embedded ML scenarios, document information extraction, etc. SAP AI Core is the underlying runtime on BTP that hosts and serves models (SAP's own plus bring-your-own). You consume Business AI; you build on AI Core.
Do you work with LLMs outside SAP (OpenAI, Anthropic, open-source)?
Yes. AI Core supports bring-your-own-model via the Generative AI Hub, which routes to Azure OpenAI, AWS Bedrock (Anthropic Claude, Meta Llama, Mistral) and Google Vertex AI. Model choice depends on data-residency constraints, latency targets and the specific task — we benchmark before committing.
How do you prevent hallucinations in business-critical workflows?
Three layers: retrieval-augmented generation (RAG) so answers cite source documents, structured output validation against SAP business objects, and a human-in-the-loop checkpoint for anything that mutates data. The bot asks, the user approves, SAP commits.
Next step
Thinking about artificial intelligence? Let's talk specifics.
Tell us what you're running and what you're trying to achieve. We'll come back with a view on scope, sequence and effort.