SAP Business AI's unique selling proposition is built on three core pillars that differentiate it from general-purpose AI. First, it is Relevant because it has direct access to mission-critical business data within SAP applications (A) and is embedded with SAP's extensive, industry-specific business process knowledge (E). This ensures the AI understands the specific context of a customer's operations. Second, it is Reliable, delivered through an enterprise-ready platform and supported by a vast partner ecosystem that helps implement and scale solutions effectively (C). Finally, it is Responsible, designed with enterprise-grade security, data privacy, and ethical considerations.

B. Focus on the technology stack: SAP's primary focus is on embedding AI into business processes to deliver value, not on the underlying technology stack as the main differentiator.

D. Development of SAP-specific large language models: SAP's strategy is to partner with leading providers of large language models (LLMs) and fine-tune them with customer data, rather than building its own foundational models from scratch.

1. SAP Official Documentation - "SAP Business AI": SAP's strategy emphasizes that its AI is "Relevant

Reliable

and Responsible." The "Relevant" aspect is explicitly defined by the combination of "deep process expertise and broad business data." This directly supports options A and E. The "Reliable" aspect is supported by the enterprise-grade platform and the ecosystem that delivers it.

Source: SAP. (2023). SAP Business AI [Official Web Page]. "AI built for business... It’s relevant because it’s built into the SAP applications you use every day and is designed to understand your business processes and data."

2. SAP Learning Hub - Course BCBAI ("SAP Business AI"): The official certification courseware outlines SAP's AI strategy. Unit 1

"Introduction to SAP Business AI

" details the value proposition. It highlights that SAP's differentiators are its deep understanding of business processes across industries

access to business data

and a strong partner network. It also clarifies that SAP leverages external foundational models.

Source: SAP Learning

Course BCBAI

Unit 1: Introduction to SAP Business AI

Lesson: "SAP's AI Strategy".

3. SAP White Paper - "A New Era of Business AI from SAP": This document details SAP's approach to generative AI and its overall Business AI strategy. It states

"Our approach is to leverage the best of our ecosystem by taking an open-partner approach... We are also building a large ecosystem of AI partners." This directly validates option C. The paper also reiterates the importance of grounding AI in real-time business data and process context

supporting A and E.

Source: SAP SE. (2023). A New Era of Business AI from SAP [White Paper]

Section: "Our approach to generative AI"

p. 4.