René King

Consultant at Dutch Boosting Group.

Engineering the AI-Enabled Systems Engineering Workflow:
Bridging the Gap Between Frontier AI Capability and
Engineering Practice

Bio.
René King is a Consultant at Dutch Boosting Group, working at the intersection of Systems Engineering and artificial intelligence. She helps organizations improve decision-making in complex socio-technical systems through better use of information, structured processes and emerging technologies. Her work examines how generative AI can support Systems Engineering activities, including requirements analysis and decision management. She focuses on where AI adds value, where human expertise remains essential, and how the two can work together in engineering practice. Together with Jordy Houwen, she also explores the complementary question: how Systems Engineering can provide a foundation for trustworthy and effective AI adoption in engineering and project organisations.

Abstract.

Systems Engineering helps organisations manage complexity through interconnected requirements, interfaces, decisions, risks and verification evidence. Although AI offers powerful capabilities for analysing and synthesising this information, its use often remains limited to isolated tasks, disconnected from engineering workflows.

This presentation argues that sustainable AI adoption requires more than capable models or effective prompts: it requires deliberately engineered workflows, information structures, governance and integration. It introduces a practical framework for making engineering processes explicit, connecting engineering knowledge and identifying opportunities for human–AI collaboration across the system lifecycle.

Using the Microsoft ecosystem as an implementation example, the presentation explores applications in requirements analysis, traceability, decision support, knowledge management, document generation and verification. Attendees will gain an approach to assessing AI readiness and designing scalable practices grounded in a central principle: AI adoption in Systems Engineering should itself be treated as a Systems Engineering problem.