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CGI

CGI powers 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Documented deployments include copilots.

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Use Cases

2

Industries

2

Countries

2

Hyperscaler mix

Filter CGI's implementations by cloud provider evidence.

How CGI builds AI

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2 of 2 cases classified (100%) · Compare all use-case types

All Use Cases (2)

Microsoft

Educational Foundation Freiburg modernizes school administration and learning with Power Platform and Copilot

Educational Foundation Freiburg runs 31 Catholic schools serving 12,000 students in Germany.The Foundation launched the EDU360° digital transformation program to modernize educational infrastructure across a single tenant in Microsoft 365 and Azure.It combines automation for school administration, Microsoft 365 Copilot for educator productivity, and AI-enabled learning experiences across classrooms and staff workflows.The program is also paired with Microsoft Purview and Microsoft Entra controls to protect sensitive student data and manage governance across the schools.

EducationGermany
Copilot
Microsoft

Uddeholm transforms steel manufacturing for sustainability and efficiency

Uddeholm, a historic Swedish steel manufacturer, partnered with CGI to enhance sustainability and profitability using artificial intelligence on Microsoft Azure. By analyzing vast amounts of production data, the company developed AI and machine learning models to predict and prevent the formation of cracks in steel. This enabled earlier detection and improved process efficiency, reducing material waste and energy consumption. Uddeholm established a data governance model and built a central AI-IT infrastructure hub to support ongoing and future data-driven initiatives. Additional AI projects have helped the company with predictive maintenance and real-time detection of leaks, contributing to operational efficiency and reduced costs. The transformation puts data-driven decision-making at the heart of Uddeholm’s operations, aligning business growth with ambitious sustainability objectives. The initiative showcases how collaborative efforts and enabling technology can support industry leaders tackling key environmental and economic challenges.The project featured a comprehensive approach including high-quality data gathering, interdisciplinary information sharing, and dedicated organizational structures such as an AI-IT hub. The partnership continues to identify new areas for AI applications within production and supply chains.