With the new Coborg framework, Inetum aims to advance AI projects beyond pilots. Coborg helps companies effectively implement AI applications in practice.
Inetum launches Coborg. This new framework helps organizations implement generative AI concretely in their daily operations. The company addresses the observation that most AI projects today don’t progress beyond experiments without measurable impact, despite investments and goodwill.
Various studies show that experiments with AI tools like ChatGPT and Copilot don’t always deliver the desired results. According to MIT, only 5 percent of AI pilots achieve tangible value. A BCG study indicates that the transition from proof of concept to large-scale integration is challenging. Fragmented data, limited adoption, and lack of alignment with existing business processes are often the cause.
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With Coborg, Inetum presents an integrated framework designed to remove these obstacles. The platform helps companies align AI applications with business objectives and supports data structuring.
Five Principles
Coborg offers various building blocks that help companies implement AI applications faster and more reliably. The
The framework is based on five principles: focus on valuable applications, human-centered adoption, rapid but responsible implementation, data-driven governance, and integration as a prerequisite for scalability. According to Inetum, Coborg can help companies systematically embed AI in their daily operations. It claims that budgets are used up to 30 percent more efficiently and data processing costs decrease by approximately 40 percent.
Coborg also includes training modules to guide employees in using AI. This way, Inetum aims to ensure that AI isn’t separate from company culture but becomes an integral part of it.