Artificial Intelligence (AI) is no longer just a buzzword in the SAP world. With the rapid adoption of SAP S/4HANA, SAP BTP, and new innovations like Joule, customers are looking at AI not as an experiment, but as a core part of their digital transformation strategy. The real opportunity lies in bringing AI directly into the flow of business processes, helping companies make faster, smarter decisions and improving efficiency across finance, supply chain, manufacturing, and customer engagement. 

What’s New in SAP AI?

SAP has been embedding AI capabilities across its ecosystem, and here are some of the most impactful areas: 

• SAP Joule (AI Copilot): An embedded AI assistant that helps users interact with SAP applications in natural language. Imagine asking Joule to “show late purchase orders by supplier” and instantly getting insights without running multiple reports. 
• SAP BTP AI Services: Pre-built AI services like Document Information Extraction, Service Ticket Intelligence, and Data Attribute Recommendation enable companies to automate repetitive tasks. 
• AI-Infused Business Processes in S/4HANA: From invoice matching in finance to predictive MRP in supply chain, S/4HANA is embedding AI scenarios that improve accuracy and speed. 
• Generative AI Extensions: Customers can build custom AI use cases on BTP, connecting SAP data with large language models (LLMs) to enable new user experiences, like intelligent chatbots, personalized recommendations, or automated knowledge search. 

Common Challenges in Adopting AI in SAP

While the potential is huge, customers often face obstacles in realizing the value of AI in SAP. Some common challenges include: 

• Data Readiness: Many organizations struggle with inconsistent or incomplete data, making it hard for AI models to deliver accurate outcomes. 
• Limited Out-of-the-Box Coverage: SAP’s embedded AI scenarios are powerful but don’t always fit every industry or unique business process. 
• Integration Complexity: AI needs data beyond SAP (CRM, IoT, e-commerce, third-party apps), and connecting those ecosystems securely is often a roadblock.
• Change Management: Employees are not always ready to trust AI-driven recommendations or adapt to new ways of working.
• Cost vs. ROI Concerns: Companies are cautious about investing in AI without a clear understanding of the return on investment. 

How CES Helps Bridge the Gaps

This is where CES comes in. We focus on helping customers move from exploring AI to operationalizing AI in their SAP landscape: 

• Data Preparation: With our SMART Data Suite, we cleanse, migrate, and govern SAP data so it’s consistent, accurate, and AI-ready. 
• Custom AI Development: Where standard SAP AI doesn’t go far enough, we build custom AI and machine learning models on SAP BTP, tailored to specific business needs.
• Integration Expertise: We design connectors that bring in external data sources (IoT, logistics, CRM, manufacturing systems) to create a complete AI-driven business view.
• Adoption & Enablement: We help business users trust and adopt AI by providing training, pilots, and proof-of-value projects that show quick wins.
• ROI-Focused Approach: CES delivers AI initiatives with a strong outcome-based model, so customers can see measurable value—reduced errors, faster decisions, and improved process efficiency. 

The Future with AI in SAP 

The next wave of SAP transformation will be AI-driven. Enterprises that embrace it will see faster innovation cycles, improved decision-making, and reduced operational costs. Whether you are ready to explore SAP’s built-in AI capabilities or want to design something custom that fits your unique business, CES is here to help you take that journey.