Infosys & Knorr-Bremse: AI-Powered Enterprise Transformation
By ThePip Desk
Infosys partners with Knorr-Bremse AG for a long-term AI-driven IT modernization, enhancing operational efficiency across rail and commercial vehicle sectors.
Infosys has launched a significant, long-term collaboration with Knorr-Bremse AG, aiming to fundamentally transform the global manufacturer’s enterprise application ecosystem. This strategic partnership focuses on accelerating AI-enabled modernization across its Rail and Commercial Vehicle divisions.
Strategic IT Modernization for Global Operations
The collaboration is a cornerstone of Knorr-Bremse AG’s Tech4Value (T4V) IT transformation program. Infosys will deliver comprehensive managed services across the company’s entire enterprise application stack, ensuring a unified approach.
- Simplify and modernize its IT landscape
- Improve service quality for its global workforce
- Accelerate its shift toward a value-driven, future-ready IT operating model
- Strengthen operational resilience, compliance, and service governance
- Enable faster innovation cycles and enhance engineering collaboration
- Improve employee experience and support scalable growth
This extensive scope covers everything from core ERP and data platforms to critical engineering and product lifecycle systems, impacting Knorr-Bremse’s global Rail and Commercial Vehicle businesses.
AI-Led Capabilities Beyond Traditional Services
Infosys is deploying its deep expertise in SAP, data, engineering, and Product Lifecycle Management (PLM) to this initiative. Crucially, this is augmented by AI-led capabilities powered by Infosys Topaz.
Utilizing generative and agentic AI technologies, Infosys aims to move Knorr-Bremse beyond conventional managed services. The focus remains on driving measurable outcomes and achieving sustained productivity gains through advanced AI-led automation.
This strategic move underscores a clear intent to leverage cutting-edge AI for profound operational shifts, positioning Knorr-Bremse for enhanced efficiency and future growth within a rapidly evolving technological landscape.