Artificial Intelligence-driven Framework for Enhancing Risk Management in the Architectural Design Process in Egypt

Ayman Ahmed Ezzat Othman, The British University in Egypt, Architectural Engineering Department, El Shorouk City, Cairo, Egypt & Gisma University of Applied Sciences, Potsdam, GermanyFollow
Nadia Mohamed Algheetany, The British University in Egypt, Architectural Engineering Department, El Shorouk City, Cairo, Egypt
Fatma Othman Alamoudy, The British University in Egypt, Architectural Engineering Department, El Shorouk City, Cairo, Egypt

Subject Area

Architectural Engineering

Article Type

Original Study

Abstract

The construction industry is crucial for achieving the United Nations Sustainable Development Goals (SDGs). However, it faces significant risks during the Architectural Design Process (ADP) that affect project quality, cost, schedule, and sustainability. Due to its limitations, traditional risk management (RM) is often inadequate for addressing these challenges. This study aims to develop a novel Artificial Intelligence (AI) driven framework to enhance RM practices in Egyptian Architectural Design Firms (ADFs) through proactive RM and improved data-driven decision making. A mixed methods research approach was adopted to achieve the research objectives. A comprehensive literature review examined RM, ADP, and AI applications in construction. Case study analysis explored the practical role of AI in improving RM practices during ADP, while a survey questionnaire of a representative sample of Egyptian ADFs evaluated industry perceptions, current practices, and readiness for AI adoption. The study identified 25 critical design risks and mapped them to 39 AI tools representing seven AI techniques. Findings demonstrated strong support for early RM and a high level of readiness for AI implementation. Scope creep and budget overruns emerged as the most critical risks, while Machine Learning (ML) and Natural Language Processing (NLP) were identified as the most effective AI techniques. Case studies confirmed AI's potential to enhance sustainability, design quality, and performance, although limited expertise, high costs, and technical challenges remain barriers to implementation. Based on these findings, the study proposed an AI-driven framework integrating AI capabilities with human expertise to support proactive RM and data-driven decision-making during ADP.

Keywords

Artificial Intelligence, Risk Management, Architectural Design Process, Architectural Design Firms, Framework, Egypt.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Othman, Ayman Ahmed Ezzat; Algheetany, Nadia Mohamed; and Alamoudy, Fatma Othman (2026) "Artificial Intelligence-driven Framework for Enhancing Risk Management in the Architectural Design Process in Egypt," Mansoura Engineering Journal: Vol. 51 : Iss. 5 , Article 4.
Available at: https://doi.org/10.58491/2735-4202.3434

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