AI is no longer just a buzzword; it is now an essential part of our digital landscape, changing how businesses operate and innovate. According to a 2024 McKinsey survey, 78% of businesses have implemented AI in at least one area of their business.1 Enterprise software plays a crucial role in this growth. In response, SAP has embedded AI into SAP S/4HANA and tightly integrated it with SAP BTP.
We are living through a moment of enterprise reinvention. Volatile supply chains, growing compliance mandates, a talent-constrained IT workforce, and relentless cost pressures have pushed businesses to rethink how they operate.
At the same time, digitalization has created mountains of operational data – data that too often goes underutilized. The real value now lies not in collecting data, but in making it actionable. That’s where AI steps in. With its ability to learn, predict, and automate, AI transforms raw data into real-time intelligence. In SAP environments, this means unlocking:
Now, with the rise of agentic AI2 , AI can take initiative, collaborate with other systems, and complete multi-step tasks autonomously. We are moving beyond insights to action-oriented intelligence. Agentic AI doesn’t just support users; it acts on their behalf, to scale complex decisions and workflows with speed and precision.
In short, AI is helping organizations do more with less and do it faster, more accurately, and more strategically.
The potential of AI to drive value creation is enormous, particularly in the areas of growth, efficiency, and customer relationships. Companies leveraging AI achieve significant productivity gains by automating routine tasks. This increased efficiency directly results in lower operational costs and higher customer satisfaction, both of which are crucial for thriving in today’s competitive landscape. For instance, tasks that once required extensive manual input can now be executed quickly and accurately through advanced language models and chatbot solutions.
SAP Joule and generative AI (GenAI) offerings also promise to simplify users’ interactions with SAP, further streamlining operations. As announced at SAP Sapphire 2025, Joule is evolving beyond a traditional in-app assistant into an enterprise-wide, AI-powered companion designed to transform how users interact with business systems.
With the SAP Business Suite driving innovation by uniting core business applications, data, and AI. SAP is expanding Joule’s capabilities to operate seamlessly across applications. This delivers context-aware, proactive support that enhances decision-making and streamlines operations at every touchpoint.
By integrating with Perplexity, Joule can now tap into both structured and unstructured data to address complex business questions with greater accuracy. It not only delivers intelligent, contextual recommendations but also presents insights through dynamic charts and visualizations, enabling faster and more data-driven decisions.3
This advancement builds on the growing momentum of GenAI in the enterprise. At the Mobile World Congress (MWC) 2025, Deutsche Telekom announced it is developing the “AI Phone” in close collaboration with Perplexity. This builds on a strategic partnership that began in April 2024.
Our approach to AI at T-Systems combines strategic planning with practical implementation. We provide comprehensive support that ranges from AI strategy consulting to ready-to-deploy solutions and the essential technologies that enable AI operations. Our portfolio is continually updated to ensure we can assist customers in both SAP and non-SAP environments.
The EU AI Act is set to take effect by 2026, and we are ready for it. SAP-integrated AI tools deployed in areas such as HR, finance, and critical infrastructure will be classified as high-risk, which means they will require stringent oversight, transparency, and human-in-the-loop controls. T-Systems is fully prepared for these changes. Our AI solutions are intentionally designed with compliance, transparency, and accountability at their core, ensuring we meet the highest standards.
For our SAP customers, we offer specialized consulting and technical support for the SAP Business Technology Platform (SAP BTP), which is crucial for integrating SAP Business AI into SAP environments. We have developed a growing suite of SAP-certified AI solutions, including Smart Monitor.
Traditional monitoring approaches are no longer enough as SAP landscapes grow in complexity. IT teams need real-time, AI-powered insights that go beyond dashboards: essentially, intelligence that drives action. By integrating AI into SAP BTP operations, enterprises can unlock a unified view of service availability, root cause analysis, and predictive forecasting. This is essential for maintaining agility and resilience.
AI enables IT teams to move from reactive monitoring to proactive decision-making, identifying issues before they impact business processes and optimizing system usage in real time. This shift enhances operational reliability and also empowers organizations to adapt faster and prevent disruptions.
Managing cloud costs has evolved from reactive budgeting to a core strategic discipline. With cloud spending projected to reach $723 billion in 20254 , organizations need more than traditional tracking. And in SAP BTP environments, complexity and scale can drive unpredictable spend. AI-powered FinOps brings automation, real-time insights, and predictive intelligence to the financial management of cloud resources.
Intelligent automation can dynamically allocate costs by project or department, surface cost anomalies in real-time, and deliver scenario-based budgeting models. Embedding AI into your FinOps strategies can maximize ROI, reduce costs, and align cloud investments with measurable business outcomes. As organizations face increasing scrutiny on digital transformation spend, adopting intelligent financial operations has become a competitive necessity.
Monitoring is no longer a standalone function. It has become an enabler of enterprise agility. AI-driven automation is redefining how organizations manage and scale SAP BTP environments. What was once reactive monitoring has evolved into a proactive, self-optimizing approach. Performance tuning, resource allocation, and security auditing are handled intelligently and autonomously. By resolving routine issues without manual intervention, organizations can minimize downtime, boost resilience, and free up teams to focus on innovation. As SAP landscapes become more complex, this shift towards intelligent operations is critical for maintaining agility, efficiency, and business continuity in the era of AI.
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The solution boosts SAP BTP visibility, tracks performance, and drives FinOps strategies with its embedded AI features. Smart Monitor helps businesses make informed decisions with real-time insights to stay in control of their cloud operations.
Cloud environments are becoming increasingly complex, requiring intelligent solutions to maintain high performance, control expenses, and prevent downtime. Smart Monitor offers businesses a comprehensive monitoring solution that boosts operational efficiency and financial oversight. With features boosted by AI such as real-time data analysis, predictive alerts, and cost management tools, Smart Monitor enables businesses to optimize their SAP BTP environments and maintain a competitive edge in the digital landscape. This solution is certified by SAP and also available in the SAP store.
T-Systems has over a decade of AI expertise, with a global team of over 1,000 AI specialists, and a secure, sovereign infrastructure supporting over 400 regulated use cases. We offer trusted, end-to-end SAP solutions and as an SAP Platinum Partner, we combine deep platform knowledge with independent, customer-first guidance.
Integrating AI into key SAP initiatives, such as SAP S/4HANA transformations and RISE with SAP, helps customers unlock real value. This approach positions AI as a vital driver of innovation instead of a standalone project.
1 The state of AI: How organizations are rewiring to capture value, Alex Singla, Alexander Sukharevsky, Lareina Yee, Michael Chui, Bryce Hall, 2025
2 Hype Cycle for Artificial Intelligence, 2025, Haritha Khandabattu, Birgi Tamersoy, 2025
3 SAP Reimagines How Enterprises Run With Business AI, Press Release, 2025
4 Gartner Forecasts Worldwide Public Cloud End-User Spending to Total $723 Billion in 2025, Press Release, 2024.
