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Case Study: Ferrovial’s AI-Powered Center of Excellence

Ferrovial, a global leader in infrastructure and mobility, has established a reputation for innovation through its strategic focus on digital transformation. At the heart of this transformation is the company’s AI-powered Center of Excellence (AI CoE) within its Digital Hub, a space dedicated to developing AI-driven solutions across business units. Since its inception, Ferrovial’s Digital Hub has integrated advanced technologies, including IoT, big data, AI, and generative AI, into diverse aspects of its operations. The initiative is led by Luis Carlos Prieto Fernández, who spearheads the AI CoE with the goal of advancing Ferrovial’s competitive position and operational efficiency.
Key Takeaways
- Ferrovial’s AI CoE serves as a central knowledge hub, ensuring collaboration across business units and the avoidance of duplicated projects.
- Initiatives such as the Herbicide Train and Azure OpenAI-based tools streamline processes, reduce costs, and boost efficiency.
- Collaborations with Microsoft and DXC Technology enable Ferrovial to leverage generative AI in new applications, including the creation of the Quercus platform.
- Through the adoption of tools like Microsoft Copilot, Ferrovial empowers its workforce to increase productivity and focus on high-value tasks.
- By prioritizing sustainability and responsible AI practices, Ferrovial is positioning itself as an innovator in digital infrastructure.
Approach
Ferrovial’s Digital Hub exemplifies a collaborative and cross-functional approach to digital innovation. The AI CoE within this hub serves dual purposes: it focuses on developing AI models and solutions for various business units, while also acting as a centralized knowledge repository that promotes shared insights and prevents redundant projects. By fostering cooperation across units and avoiding a strict hierarchical structure, Ferrovial enables AI-driven solutions to reach broader applications and provide higher value. Furthermore, Ferrovial is a founding partner of IndesIA, an initiative to drive AI adoption across the Spanish industry. This partnership reflects Ferrovial’s commitment to advancing AI knowledge and promoting skill development, both internally and industry-wide.
Implementation
Ferrovial has implemented several notable AI initiatives, each showcasing the company’s commitment to digital transformation. One significant project, the Herbicide Train, uses computer vision to detect vegetation on train tracks, allowing targeted herbicide application that minimizes environmental impact and reduces glyphosate costs by over 80%.
Through a partnership with Microsoft, Ferrovial deployed generative AI tools using Azure OpenAI, helping employees perform tasks like content generation and translation with increased efficiency. The company also adopted Microsoft Copilot, initially tested by over 300 employees, saving an average of 90 minutes per week and enhancing productivity across the organization.
Another milestone was the development of the Quercus platform in collaboration with DXC Technology and Microsoft. This generative AI platform optimizes key functions, including HR and cybersecurity, and supports business activities such as health and safety, underscoring Ferrovial’s strategy to integrate AI solutions into all areas of operations.
Results
The AI initiatives at Ferrovial have delivered significant results, both in terms of cost savings and productivity gains. The Herbicide Train project exemplifies the economic and environmental impact of AI, while tools like Microsoft Copilot and Azure OpenAI improve efficiency by allowing employees to focus on high-value tasks. Enhanced data-driven decision-making has further optimized infrastructure management, reinforcing Ferrovial’s position as a competitive leader in sustainable infrastructure.
Challenges and Barriers
Despite these successes, Ferrovial has faced challenges in its AI journey. Initially, securing funding for AI projects was challenging as executives prioritized investments elsewhere, often perceiving AI’s value as uncertain. Another barrier was the need to cultivate AI literacy and skills across teams, requiring consistent training and development efforts. Additionally, deploying AI raised concerns around privacy, security, and ethical standards, particularly in areas like cybersecurity and data management. Regulatory compliance added further complexity, as Ferrovial navigated rules designed to ensure transparency, accountability, and responsible use of AI technologies.
Future Outlook
Looking forward, Ferrovial aims to expand its AI applications and drive digital transformation across all business units. Plans include a wider deployment of generative AI tools to boost employee productivity and deepen cross-functional collaboration. The company’s extended partnership with Microsoft and DXC Technology reflects its dedication to responsible AI practices that transform infrastructure and deliver sustainable value. Ferrovial’s role as a founding partner of IndesIA emphasizes its commitment to making AI accessible across Spanish industries, championing a collaborative approach to digital transformation.
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Sources:
Ferrovial steps up its commitment to artificial intelligence by applying Microsoft Copilot in all its work centers
DXC Technology and Ferrovial to Co-create New Generative Artificial Intelligence Platform
Ferrovial launches pioneering generative artificial intelligence assistant for employee
Ferrovial puts AI at the heart of its transformation
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