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Ferrovial boosts efficiency & safety with DXC AI Workbench

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DXC Technology has launched a generative AI platform aimed at helping businesses deploy and scale responsible artificial intelligence across their operations, with Ferrovial confirmed as the anchor client.

The Fortune 500 technology services provider introduced the DXC AI Workbench on Tuesday, describing it as a secure, enterprise-ready solution that blends consulting, engineering and enterprise services. The platform is already being used by infrastructure giant Ferrovial to support real-time decision-making across its 24,000-strong workforce.

"AI isn't a plug-and-play solution—leveraging GenAI securely and in compliance with regulations requires human due diligence, customisation, and the right skill sets," said Howard Boville, President of DXC Consulting & Engineering Services – Powered by AI. "We're helping clients, such as Ferrovial, build and implement AI solutions throughout their operations to drive outcomes at scale and unlock opportunities to innovate."

Ferrovial, which operates in over 15 countries, is using more than 30 AI agents deployed through the platform on Microsoft Azure. According to DXC, these agents are already improving productivity, increasing business agility, and enhancing safety standards.

"By working with DXC, we've unlocked new levels of operational efficiency and reduced risks," said Dimitris Bountolos, Chief Information and Innovation Officer (CIIO) of Ferrovial. "The ability to integrate AI into our core business processes has revolutionised how we reduce operational costs, manage knowledge, and make decisions, providing us with a competitive edge in the industry."

The DXC AI Workbench is designed to help companies navigate the challenges of integrating AI responsibly and at scale. It includes built-in governance mechanisms and security features to ensure compliance with evolving regulatory standards.

Ferrovial is deploying the platform across a broad range of business functions, including field operations, regulatory analysis, and competition tracking. The system has also been integrated with various back-office tools, including Workday, ServiceNow, Microsoft Teams, and several of Ferrovial's proprietary applications.

This integration, according to DXC, is already delivering accelerated automation and more robust data-driven decision-making throughout Ferrovial's global operations.

"DXC helps clients across industries find scalable solutions to meet their unique challenges, so they can move fast," the company said in a statement. "With its new AI Workbench offering, DXC is delivering a pre-built scalable solution with necessary safeguards and governance for secure deployment."

With this new offering, DXC is targeting enterprises seeking to adopt generative AI without compromising on compliance or control. The company claims its deep industry expertise allows it to tailor solutions to specific sector needs, making AI adoption more feasible for organisations facing complex operational environments.

Ferrovial, for its part, has expressed confidence that its collaboration with DXC will continue to deliver measurable benefits as AI integration deepens.

The platform's cloud-based architecture on Azure and its ability to interface with existing enterprise systems are central to its promise of seamless deployment and impact. Ferrovial's early use of the system suggests a practical application of generative AI in large-scale infrastructure operations—a potential benchmark for other firms in the sector.

With the release of DXC AI Workbench, the technology company is signalling a shift towards offering more comprehensive, embedded AI solutions for enterprises worldwide. While many businesses remain cautious about integrating artificial intelligence due to regulatory uncertainty or technical limitations, DXC is positioning its platform as a means to overcome those barriers through secure, scalable design.

The company has not yet disclosed further client rollouts, but the Ferrovial partnership is intended to serve as a reference implementation as it engages with additional organisations seeking enterprise-grade AI solutions.

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