Generative Artificial Intelligence (AI) is increasingly recognised as a transformative force across industries, yet its integration into real estate development remains tentative and largely exploratory. This research investigates how generative AI can support stakeholder deliber
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Generative Artificial Intelligence (AI) is increasingly recognised as a transformative force across industries, yet its integration into real estate development remains tentative and largely exploratory. This research investigates how generative AI can support stakeholder deliberation within multidisciplinary design teams in real estate development projects. Deliberation is understood as a structured, inclusive, and reflective process of mutual reasoning and knowledge integration, distinct from decision-making or negotiation.
Employing an exploratory mixed-methods approach, the study combines a literature review, semi-structured interviews, a survey, and a validation phase including a workshop and expert panels. Conducted in collaboration with the Dutch real estate development firm NEOO, the research focuses on design-phase deliberation and investigates how AI tools can facilitate more effective collaboration. Three research phases guide the study: (1) mapping the nature and phases of deliberation in design teams, (2) evaluating the challenges and potentials of generative AI tools, and (3) developing and validating a framework and implementation strategy for AI-supported deliberation.
The research identifies three deliberative modes, namely exploratory, convergent, and operational, each aligned with specific phases of the design trajectory. Five AI support themes emerge: facilitation, augmentation, efficiency, inclusivity and coordination. Together, these inform a framework and roadmap for practice. The study finds that generative AI can enhance structured dialogue, support inclusive engagement, and augment creative reasoning, provided that its implementation is sensitive to organisational dynamics, professional trust, and reflective learning processes.
This thesis contributes to both academic theory and industry practice by offering conceptual clarity on deliberation and practical guidance on integrating AI into design team deliberation workflows. It is intended for scholars, practitioners, and developers seeking to leverage digital innovation for more effective and inclusive collaboration in the built environment.