SAP Business AI

We make AI in SAP truly usable — securely, integrated, and with measurable business value.

Finance: High manual effort in invoice verification and low accuracy in cash-flow forecasting.

Supply chain: Unplanned machine downtime and lack of transparency in planning of material requirements.

HR: High employee turnover and time-consuming preparation of job ads

SAP Business AI is the intelligent layer for your core business processes — it's more than just a chatbot.

Key arguments for SAP Business AI:

• Deepest knowledge in business context: AI understands SAP business logic and user authorisations.
• Trustworthiness & compliance: AI decisions are audit-proof and traceable.
• Seamless integration & automation: AI acts autonomously, executes end-to-end transactions, and automates processes.

1. Strategy & Readiness (The foundation)

• AI readiness check: Evaluation of your S/4HANA system landscape and gap analysis for the use of embedded AI functions.
• Use case assessment: Identification, prioritisation and development of an SAP AI roadmap (e.g. predictive maintenance, AI-based invoice verification.
• Joule Quick Start: Pilot implementation and training of end users in the use of the SAP Copilot Joule.

2. Technology & Integration (The BTP basis)

• BTP AI Core Setup & Governance: Development of a secure and scalable environment, including SAP Generative AI Hubs for external LLMs.
• Datasphere & AI Data Foundation: Ensuring a consolidated, AI-enabled data foundation and building a semantic data model.
  

3. Development & Co-Innovation (The customisation)

• Custom AI Agent Development PoC: Development of an initial, customer-specific, functional AI agent (MVP) in 6-8 weeks.
  • Example: AI agent for invoice verification, resulting in 30% fewer manual clarification cases.
• Enablement/Citizen Developer: Training programmes for customers to build their own simple AI solutions using SAP Build Code.