Maturity and Cost Model for Systems Engineering with Generative AI

This technical report presents a maturity and cost model designed for systems engineering that incorporates generative AI technologies. The framework aims to assist organizations in effectively integrating AI into their engineering processes while optimizing costs. It outlines a maturity model with five progressive levels, detailing the necessary practices for AI adoption, from initial stages to fully optimized integration. Additionally, the report introduces a parametric cost model that quantifies the financial impacts of AI usage on systems engineering projects, aligning with the ISO/IEC/IEEE 15288 standard. The document emphasizes the importance of robust data management, personnel training, and clear policies for AI utilization to ensure successful adoption. It also discusses the potential cost decreases and increases associated with various engineering activities when utilizing AI, highlighting the need for careful oversight to avoid pitfalls. Overall, the report serves as a comprehensive guide for organizations looking to navigate the complexities of AI integration in systems engineering.