Enterprise Architect - Cloud Managed Services

T-Systems, SupplyOn advance Industrial AI Cloud for supply chain automation. T-Systems and SupplyOn are launching a strategic partnership to bring artificial intelligence into industrial supply chains. To achieve this, SupplyOn, Europe's largest industrial supply chain network, is connecting its platform to the T-Systems Industrial AI Cloud. This enables companies to automate and accelerate procurement, logistics, and supplier management processes with AI while retaining full control over their data. The partnership creates a powerful and sovereign AI platform for digital collaboration between manufacturers and suppliers. The partnership addresses a key challenge facing industry today. Supply chains are becoming increasingly complex, regulatory requirements are rising, and geopolitical risks continue to grow. At the same time, companies need to make decisions faster and on the basis of data. The combination of AI and sovereign infrastructure provides the technological foundation to meet these demands. AI processes run on the T-Systems Industrial AI Cloud. Sensitive procurement, production, and supplier data remain under European control and are processed in accordance with strict data protection and security standards. This enables companies to leverage the benefits of AI while meeting requirements for privacy, security, and digital sovereignty. AI for Industrial Collaboration SupplyOn digitizes collaboration among approximately 140,000 companies in more than 100 countries. Manufacturers and suppliers use the platform to manage core supply chain processes, including procurement, supplier management, quality assurance, logistics, and risk management. By connecting to T-Systems' sovereign infrastructure, companies will be able to integrate AI applications directly into existing supply chain processes. The Next Generation of Supply Chains First Use Case for SupplyOn: AI in Procurement SupplyOn uses the Industrial AI Cloud e.g. for its new product "AI-native Sourcing". Companies will gain access to sovereign computing power across the entire supply chain. AI agents will support procurement teams throughout the sourcing process, including supplier selection, bid evaluation, and the preparation of informed purchasing decisions. All AI processing is carried out entirely within the sovereign Munich based Telekom AI data center. With the strategic partnership T-Systems and SupplyOn are laying the foundation for additional AI-powered industrial solutions. Following the launch of AI-native Sourcing, AI agents are expected to support planning, quality assurance, electronic invoicing, and risk management processes in the future. The Industrial AI Cloud Continues to Grow The integration of SupplyOn expands the Industrial AI Cloud ecosystem with a leading platform for digital collaboration across global supply chains. Alongside founding partners SAP, Siemens, and ServiceNow, companies from a wide range of industries are already using the sovereign platform for advanced AI applications. EDAG, Agile Robots, Wandelbots, and PhysicsX are developing the next generation of industrial AI and robotics. Noxtua is building a legal AI solution capable of analyzing more than 60 million legal documents. SOOFI is training a large language model with 100 billion parameters. Quantum Systems is developing and operating autonomous systems with substantial data requirements. Together with these and future partners, the Industrial AI Cloud is evolving into a platform for AI applications that require the highest levels of computing performance without compromising security or data sovereignty. The Foundation for Industrial AI in Europe The Industrial AI Cloud is a sovereign AI infrastructure for enterprises, research institutions, and the public sector. It provides high-performance computing capacity for developing, training, and operating advanced AI applications while combining performance with European data sovereignty. The platform is GDPR-compliant, resistant to the U.S. CLOUD Act, and operates entirely under European data control. Since February 2026, T-Systems has operated the facility in Munich with 10,000 NVIDIA Blackwell GPUs, 0.5 exaflops of computing power, and 20 petabytes of storage capacity. Its launch increased Germany's available AI computing capacity by approximately 50 percent. Markus Quicken, CEO, SupplyOn Today's supply chains are global value creation networks. Success depends on companies, suppliers, and partners being able to collaborate on a shared and trusted data foundation. Dr. Ferri Abolhassan, Member of the Board of Management of Deutsche Telekom and CEO of T-Systems AI is becoming the operating system of modern supply chains. Companies that want to harness the full potential of this technology must retain control over their data, applications and processes. Together with SupplyOn, we make exactly that possible: enabling innovation through sovereign and secure digital infrastructures, without creating dependencies. Ray Sharma is an Industry Analyst and Editor at The Fast Mode. He has over 15 years of experience in mobile broadband technologies and solutions, conducting research and analysis on various technology segments and producing articles and write-ups on the latest developments within the sector. He is also in charge of social media engagement and industry liaisons. The Fast Mode 9658 likes TWEETS 28.4K FOLLOWING 3479 FOLLOWERS 13.2K

T-Systems and Scheer Group partner on SAP process automation. Published: Jun 1, 2026 Read Time: 3 mins Vendors mentioned. Key Topics Meet the authors. * The strategic partnership between Deutsche Telekom's T-Systems and Scheer Group combines regulated cloud infrastructure with enterprise process automation to support complex SAP environments. * As organizations evaluate RISE with SAP, achieving intelligent automation requires auditable process models and strong data governance, not just a lift-and-shift to the cloud. * SAPinsider research indicates that while 76% of businesses want to automate repetitive tasks, messy legacy data and broken business workflows remain the biggest bottlenecks to AI scalability. Deutsche Telekom's IT subsidiary, T-Systems, has entered a strategic partnership with the Scheer Group to accelerate enterprise process automation. This collaboration pairs T-Systems' regulated cloud infrastructure with Scheer's deep expertise in process design and hyperautomation. For SAP customers navigating complex cloud ERP and RISE with SAP evaluations, this announcement elevates a critical industry reality. Regulated cloud operations are necessary, but not sufficient for automation without auditable process models and thoroughly governed historical data. What the data shows. Business leaders are placing immense pressure on IT to deliver faster financial closes, real-time visibility, and agent-enabled workflows. However, an SAP landscape cannot safely automate what it has not modeled, governed, or cleaned up. Cloud adoption certainly changes the operating environment, but it does not untangle broken business processes on its own. Explore related questions For example, an order-to-cash workflow that relies on email approvals and manual spreadsheet reconciliations does not become compliant simply because it runs on a regulated server. Without comprehensive process redesign, that same messy spreadsheet simply gets a more expensive address. SAPinsider research illustrates why the market is pushing for these combined service offerings. In 2024, 76% of respondents prioritized boosting productivity by automating repetitive tasks, up from 59% in 2023. Additionally, 60% focused on optimizing processes to reduce cycle times, while 52% prioritized reducing manual touchpoints to increase process quality. These figures show that while the appetite for intelligent automation is undeniable, overall readiness remains the primary constraint. Organizations still desperately need stronger data governance and consistent controls before AI can act safely across hybrid landscapes spanning SAP and non-SAP systems. Scaling AI with governance. Additionally, SAPinsider's 2025 RISE with SAP findings show that customers are bringing far tougher expectations to the vendor selection process. Buyers are now prioritizing partners with proven cloud ERP implementation experience, defensible data migration strategies, and business process models that meet strict regulatory requirements. Raw compute capacity and hosting credentials are no longer enough to win the deal. The T-Systems and Scheer partnership actively acknowledges this shift, offering a managed cloud engagement paired directly with process-automation services to close the readiness gap rather than hosting the workload. The pressure on end-users to deliver on these capabilities is high, with finance teams illustrating this daily reality perfectly. Current SAPinsider research reveals that only 5% of finance teams achieve a one- to three-day close, while 53% take four to seven days and 42% drag on for eight or more days. While more than 70% of companies expect to use automation to accelerate record-to-report workflows, the underlying process discipline required to support those ambitions remains uneven across the enterprise. It is easy to underestimate the importance of governance. However, this factor dictates whether enterprise AI will scale. Simplified data integration, strong lineage, and real-time availability are fundamental operating model choices rather than simple infrastructure features. They directly influence whether an AI agent acting on SAP data can be audited, rolled back, and defended to a regulator. For enterprise architects evaluating any regulated-cloud bundle, the core question is whether the broader engagement includes strict accountability for automated actions. What this means for sapinsiders. Enterprise architects must treat regulated cloud infrastructure and process automation as deeply interconnected decisions. This will ensure that documented process models and precise data lineage are explicitly part of the expected project scope to prevent future compliance bottlenecks. By demanding this level of foundational hygiene up front, architects can build a resilient landscape in which automated workflows remain auditable and secure during external regulatory reviews. Chief Information Officers should rigorously assess automation services against their specific RISE with SAP readiness gaps. Leadership teams need to scrutinize how a partner bridges the divide between messy legacy data and a streamlined, cloud-native operating model. Demanding practical roadmaps for process cleanup from partners before greenlighting intelligent automation will save IT teams from the headache of accidentally automating broken business rules. System integration leaders must urgently evolve their service portfolios to combine secure cloud migration with deep, value-driven process redesign. Customers are actively filtering hosting partners based on their ability to untangle complex workflows, making basic lift-and-shift propositions increasingly obsolete in the SAP ecosystem. To stay competitive, service providers should clearly articulate how their methodologies prepare a client's historical data and compliance frameworks for next-generation AI agents.

Ramesh Revuru appointed Chief AI Officer at T-Systems International. In his new role, he is expected to lead T-Systems International's global AI strategy, accelerate AI-powered transformation initiatives, and strengthen the company's capabilities in emerging areas such as Agentic AI orchestration, intelligent automation, enterprise AI platforms, and AI-driven operational modernization. Published on: 24 May 2026, 10:45 pm T-Systems International has appointed Ramesh Revuru as its new Chief AI Officer, strengthening the company's leadership focus on artificial intelligence, digital engineering, and enterprise transformation amid growing global demand for AI-led business modernization. With more than three decades of experience across AI strategy, digital transformation, enterprise platforms, engineering leadership, and global technology delivery, Ramesh Revuru brings extensive expertise in building scalable digital ecosystems and driving next-generation AI innovation across industries. In his new role, he is expected to lead T-Systems International's global AI strategy, accelerate AI-powered transformation initiatives, and strengthen the company's capabilities in emerging areas such as Agentic AI orchestration, intelligent automation, enterprise AI platforms, and AI-driven operational modernization. Extensive Technology Leadership Experience Before joining T-Systems International, Ramesh Revuru held senior leadership positions across several major global technology and consulting organizations, including LTIMindtree, Infosys, Oracle, Hitachi Consulting, CA Technologies, Aditya Birla Minacs Worldwide Ltd, and Sierra Atlantic. Across these organizations, he led multiple large-scale initiatives spanning digital engineering transformation, AI-led business modernization, outsourced product development, enterprise SaaS platforms, customer experience engineering, and global delivery operations. His leadership journey has included building and scaling technology teams, driving cloud and AI adoption strategies, improving enterprise agility, and executing complex digital transformation programs for global enterprises. Focus on AI-Led Enterprise Transformation Ramesh Revuru's appointment comes at a time when enterprises worldwide are aggressively investing in AI-powered automation, intelligent workflows, and digital operating models to improve efficiency, customer engagement, and business scalability. His recent work has focused heavily on Agentic AI systems, AI orchestration frameworks, intelligent enterprise operations, and AI-powered business process transformation. These capabilities are increasingly becoming central to enterprise technology roadmaps as organizations move beyond traditional automation toward more autonomous and context-aware AI systems. Industry experts believe leadership roles such as Chief AI Officer are rapidly becoming critical across global technology companies as AI shifts from experimental adoption to core business infrastructure. Strengthening T-Systems' Global AI Vision T-Systems International, the digital services arm of Deutsche Telekom, has been actively expanding its enterprise cloud, cybersecurity, digital transformation, and AI capabilities for global customers across industries. The appointment of Ramesh Revuru signals the company's intent to strengthen its AI innovation roadmap and accelerate the development of scalable enterprise AI solutions for international markets. With extensive experience across engineering transformation, AI-driven delivery models, and enterprise modernization, Revuru is expected to play a key role in shaping the next phase of T-Systems International's AI strategy and helping organizations navigate the rapidly evolving digital economy. [Stay informed with our latest updates by joining the] [WhatsApp Channel now!]