SAP and AI – where is the journey heading?

To understand SAP's current development in the context of artificial intelligence, it's worth looking at the role SAP has played in many companies for years. Because although SAP is centrally embedded in countless processes, it was long not in the spotlight when it came to visionary technology initiatives.

But that's changing fundamentally right now. In 2025, SAP is massively advancing its AI strategy and impressively demonstrating how important AI will be for the future of work in companies. In this article, we highlight the key points from the new initiatives and take a look ahead at the coming years.

SAP Joule: the smartest assistant

Natural-language interaction

At the center of the AI offensive is SAP Joule, an AI chatbot designed to make interacting with SAP systems simpler and more efficient through its natural-language interface. Instead of cumbersome navigation paths, users can now phrase their tasks in natural language and get direct support in finding functions, data and objects in SAP S/4HANA.

Reducing complexity

Joule plays to its strengths especially in complex solutions like S/4HANA: the chatbot relieves users from navigating extensive menus and offers fast, fitting suggestions – without deep SAP expertise being required.

Massive investment in AI

• Reskilling and new perspectives: As part of a voluntary program, SAP plans to restructure 10,000 positions to adapt them to the new requirements. In parallel, three billion euros are being invested in AI-related projects and training initiatives. This step underlines how strongly SAP wants to drive the digitalization and automation of its platform.
• Integrations with Microsoft: SAP Joule is to be closely interlinked with Microsoft Copilot and Microsoft 365 Copilot. This means companies already using Windows 11 and Microsoft 365 benefit from seamless AI support across their workflows.

AI-supported analytics and process optimization

Real-time data analysis

Through predictive analytics based on machine learning, SAP Joule helps with forecasts in finance, HR and supply chain management. This speeds up decision processes and enables data-based planning.

Integration and automation

The AI functions in the SAP Cloud significantly simplify connecting additional systems: with the SAP Integration Suite, integration flows can even be designed by the AI, reducing the design and customizing effort. Continuous data synchronization via the SAP Business Technology Platform (BTP) ensures up-to-date information is available at all times.

Cross-industry use cases

To make the potential of SAP Joule and SAP Business AI more tangible, here are a few cross-industry use cases:

1. Retail

• Dynamic pricing: AI algorithms analyze real-time data on inventory, demand and competitor prices to automatically calculate optimal sales prices.
• Personalized product recommendations: Based on customer history and purchasing behavior, targeted suggestions can be generated that boost revenue.

2. Finance

• Fraud detection and credit risk assessment: Machine-learning models analyze payment flows, transaction histories and customer profiles to spot anomalies early.
• Real-time reporting: Through automated data integration and AI-supported analytics, financial reports can be created in no time and sound decisions made.

3. Production and logistics

• Predictive maintenance: Sensor and machine data are evaluated in real time to plan maintenance intervals precisely and avoid expensive downtime.
• Supply chain optimization: AI analyzes supply chains, forecasts bottlenecks or demand fluctuations and supports efficient inventory management.

4. Service sector

• Resource planning: AI-based tools can deploy employees optimally to handle peak loads in service and support departments.
• Automated ticketing: Joule can categorize and prioritize customer service or support requests, significantly cutting processing time.

5. Pharmaceutical industry

• Automated invoice checking: SAP Business AI can detect duplicates and incorrect entries – regardless of language or format. This speeds up processes and reduces error rates.

These examples show how industry-independent and flexible SAP solutions with AI support can be. With every use case, the value for companies grows, as processes are automated, forecasts improved and specialists relieved of routine tasks.

SAP Business AI and GenAI Hub

Flexible AI infrastructure: With SAP Business AI, companies can implement their own use cases or rely on established components like the GenAI Hub within the BTP. This allows the integration of large language models (LLMs) from well-known partners like NVIDIA or self-developed AI models.

Versatile applications: From document processing through image recognition to text analysis or predictive analytics – SAP Business AI enables a wide range of AI application fields and integrates flexibly with other SAP products and third parties.

New horizons in sales and service

Performance boost in CRM: The fully revamped versions of SAP Sales Cloud and Service Cloud (version 2) consistently rely on microservices and hyperscaler hosting. This drastically improved the average response time – according to SAP, by up to 18 times.

Intelligent sales support: Through AI features like lead and opportunity scoring, sales reps prioritize customers by likelihood of success, while guided selling leads them through the sales process with sound recommendations.

Joule Studio: tailored AI

Low-code/no-code AI development: Joule Studio enables the development of custom skills to adapt SAP applications to company-specific requirements. For example, you can automate your own processes or create new workflows – without deep programming know-how.

Integration of third-party tools: The platform allows the integration of external systems like Jira or ServiceNow. This means data and processes can be controlled across departments or even across companies.

AI in SuccessFactors and ABAP development

Personalized user support: SAP continuously expands the AI functions in SuccessFactors to speed up HR processes and relieve employees through dynamic assistance.

Automated code analysis: For ABAP developers, SAP Joule now offers features like complex code analysis, automated generation of unit tests and predictions of possible sources of error.

Generative AI in ERP and beyond

Automated process optimization: Generative AI makes business processes more scalable and efficient – from automatic suggestions for the financial close to material-flow optimization in logistics.

AI in talent management: In SAP SuccessFactors, deep-learning technologies are used to analyze large volumes of data and provide recommendations for employee development or recruiting.

Partnerships and visions for the future

Technology alliances: To fully exploit the potential of generative AI, SAP works with well-known companies like Amazon, Microsoft, Google Cloud, Meta, Mistral AI and Nvidia. The goal: customers should achieve visible results quickly, without major barriers to entry.

Cloud migration as a must: Anyone wanting to benefit from the AI functions has to seriously consider the step into the cloud. SAP supports this with dedicated migration and transformation initiatives, so customers can adopt S/4HANA Cloud more easily.

Why SAP customers should care about AI

• Efficiency gains: AI-supported workflows save time and cut costs.
• Improved decision-making: Sound forecasts in real time lead to faster, better business decisions.
• Automation: Employees are relieved of routine tasks and can focus on value-adding work.
• Personalized experiences: Individually tailored solutions increase satisfaction and engagement at all levels.
• Innovation and competitive advantage: The ability to develop your own AI solutions opens doors to new business models and differentiation in the market.

Conclusion and outlook

SAP is pushing its AI strategy forward at high speed. The broad integration of AI functions across the entire portfolio – from S/4HANA through SuccessFactors to the SAP Business Technology Platform – shows how fundamentally the way companies work will change.

However, successfully using these solutions also requires a rethink and appropriate training for employees. But those who engage with the new technology in time and recognize the opportunities for their own company are best positioned to thrive in an AI-driven world. The journey has only just begun, and SAP impressively demonstrates how much potential still lies dormant. Companies that set out now can harness the benefits of AI early – and thereby strengthen their future viability for the long term.

Feel free to contact us and benefit from our expertise in the sustainable and successful delivery of AI projects in the SAP environment.