DXC Technology Launches Global AI Center of Competence
On September 17, 2025, DXC Technology, a reputable global IT service provider that ranks among the Fortune 500, announced the establishment of a groundbreaking AI Center of Competence in Warsaw, Poland. This new center adds to an expanding network of AI hubs that DXC has set up around the globe, with the purpose of accelerating the adoption of Artificial Intelligence in businesses.
The Warsaw center boasts a team of 500 data and AI experts who possess extensive knowledge across various sectors. These specialists work collaboratively with businesses worldwide, leveraging AI to ignite innovation, streamline operations, enhance efficiency, and significantly lower operating costs. Early adopters of the services offered by this center include Ferrovial, a leader in global infrastructure listed on NASDAQ, which employs more than 25,000 individuals globally.
Ferrovial is partnering with the full-stack engineers at DXC in Warsaw to advance the development of AI Workbench, a state-of-the-art generative AI platform that combines advisory, engineering, and secure enterprise services. This collaboration aims to help organizations scale responsible AI across their operations. As a result, Ferrovial is currently utilizing AI Workbench to enhance real-time operational management and elevate safety standards within its organization.
This innovative solution hinges on the capabilities of over 30 intelligent agents capable of making instantaneous decisions, enabling Ferrovial to swiftly adapt to shifting conditions and regulatory requirements. Javier Lázaro, Director of the Digital Center at Ferrovial, expressed enthusiasm about the partnership, stating, "We are excited to leverage DXC's global engineering expertise through the AI Center of Competence in Warsaw. We are working closely with DXC engineers on the development of AI Workbench, which is already optimizing our decision-making and enhancing safety within our organization."
The structure of DXC's AI Center of Competence revolves around three strategic pillars: a resilient cloud infrastructure, intuitive AI interfaces, and a centralized hub for research and development. This strategic approach ensures that organizations can harness AI’s capabilities fully, simplify cloud operations, and uphold exceptionally high data security standards on a global scale.
Pete McEvoy, General Manager of DXC for Data and AI, emphasized that the AI Center of Competence focuses on more than just technology construction; it aims at fostering a global ecosystem for continuous learning, collaboration, and innovation. He stated, "Our experts in Poland will collaborate with colleagues and clients worldwide to offer solutions that promote meaningful transformation across all sectors and regions. By bringing together the right individuals, refining processes, and harnessing cutting-edge technologies, we ensure that our AI innovations are not only powerful but also practical, sustainable, and truly impactful."
This newly established center forms part of DXC's growing global AI network, which includes similar centers in Bulgaria, India, the Philippines, and Spain. As a frontrunner in enterprise AI and data modernization, DXC enables organizations in various industries to utilize the power of artificial intelligence to boost efficiency, drive innovation, and promote growth.
With decades of experience in data and engineering, and a worldwide network of AI competency centers, DXC is committed to delivering secure and scalable solutions, ranging from generative AI platforms like DXC's AI Workbench to industry-specific AI agents, empowering customers to effectively integrate responsible AI into their operations. For more information, visit
dxc.com.
About DXC Technology
DXC Technology (NYSE: DXC) stands as one of the leading global providers of technology services. Numerous innovative organizations across the world rely on DXC to create solutions that advance industries and businesses. Our engineering, consulting, and technology experts assist clients in simplifying, optimizing, and modernizing their systems and processes, managing their most critical workloads, integrating AI-driven intelligence into their operations, and prioritizing security and reliability.