SAP Sapphire 2025: Top AI Questions to Address
As the global business landscape accelerates toward smarter digital ecosystems, SAP Sapphire 2025 promises to be a defining moment for how enterprises integrate and utilize Artificial Intelligence (AI). With AI gaining traction across every industry, users and customers alike are eager to hear SAP’s answers to some burning questions. At the heart of this discussion lies a simple premise: Can SAP deliver tangible, scalable AI outcomes across its ecosystem?
This article explores the top AI questions SAP should be prepared to answer at Sapphire 2025, reflecting real user concerns, industry shifts, and the direction of enterprise technology.
1. How Real is SAP’s Business AI Today?
SAP has been touting its “Business AI” narrative for the past year, but many users are still in the dark about what’s actually available versus what’s on the roadmap. At Sapphire 2025, stakeholders will need clarity on:
- Which AI features are live and being used by customers today?
- Are the AI tools truly embedded into core modules like S/4HANA and SuccessFactors?
- What real-world outcomes and productivity gains have been reported?
SAP’s ability to transition from hype to implementation will be key in retaining confidence among enterprise buyers.
2. How Transparent is SAP About AI Limitations and Ethics?
Enterprise leaders are increasingly demanding transparency in AI models, particularly those used in operational decision-making. At Sapphire 2025, SAP must address:
- How the company is managing AI bias and ethics in its models.
- To what extent users can audit or explain AI-driven decisions.
- Data permissions and usage policies—especially regarding third-party integrations and partner AI models.
Achieving a trustworthy AI framework is no longer just a “nice-to-have”—it’s a fundamental enterprise requirement.
3. What Role Does Generative AI Play in SAP’s Roadmap?
With the rise of generative AI tools like ChatGPT, enterprise customers are eager to explore similar technologies within their SAP ecosystems. However, specifics are scant. Concerns for SAP Sapphire 2025 include:
- Will generative AI be integrated into SAP modules for tasks like report generation, data analysis, and conversational interfaces?
- Which use cases will be prioritized—development, HR, finance, or procurement?
- How is SAP ensuring data security and compliance when using generative AI models?
SAP must outline a practical framework for incorporating generative AI, ensuring that it delivers productivity without compromising enterprise control.
4. How is SAP Scaling AI for the Mid-Market?
While much of the AI conversation centers on enterprise-level SAP customers, the mid-market is often left waiting for innovations to trickle down. At Sapphire 2025, a critical focus should be on:
- Making AI accessible for smaller SAP Business One and Business ByDesign customers.
- Offering cost-effective AI features that don’t require hiring a data science team.
- Partners’ ability to configure or resell value-added AI tools to SMEs.
If SAP wants to capture the full spectrum of enterprise customers, ensuring equitable AI access must be a key initiative.
5. How Do SAP’s AI Capabilities Compare To Competitors?
Many SAP customers are part of multi-vendor IT environments and are already seeing AI delivered by vendors like Microsoft, Oracle, and Salesforce. So where exactly does SAP stand? Users will be watching for:
- Benchmarking of SAP AI features versus other major ERP and CRM providers.
- Premium capabilities or differentiators SAP offers—especially in industry-specific AI.
- Integration with external AI tools and models, such as Microsoft Copilot or AWS Bedrock.
Without a clearer comparative advantage, SAP risks being seen as an AI follower rather than a leader.
