Sustainable Development Projects Implementing in BANI Environment Based on AI Tools

Sergey Bushuyev, Igor Chumachenko, Andrii Galkin (), Denis Bushuiev and Nataliia Dotsenko
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Sergey Bushuyev: Department of Project Management, Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, 03680 Kyiv, Ukraine
Igor Chumachenko: Project Management in Urban Management and Construction Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61001 Kharkiv, Ukraine
Andrii Galkin: Department of Transport and Regional Economics, University of Antwerp, 2000 Antwerp, Belgium
Denis Bushuiev: Department of Project Management, Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, 03680 Kyiv, Ukraine
Nataliia Dotsenko: Project Management in Urban Management and Construction Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61001 Kharkiv, Ukraine

Sustainability, 2025, vol. 17, issue 6, 1-19

Abstract: This study proposes a conceptual framework for applying artificial intelligence (AI) to sustainable development projects, emphasizing its role in mitigating risks, enhancing flexibility, and fostering resilience. A case study analysis demonstrates the practical application of AI tools in optimizing project outcomes while aligning with global sustainability goals. The findings underscore the transformative potential of AI in enabling sustainable practices and achieving long-term success in the BANI (brittle, anxious, nonlinear, incomprehensible) environment. This research contributes to the growing discourse on digital transformation and sustainability by presenting actionable strategies for project managers and stakeholders. To highlight this study’s quantitative findings, key numerical estimates derived from the case study and model validation have been incorporated into the abstract, showcasing AI’s measurable impact on project resilience, efficiency, and stakeholder confidence.

Keywords: sustainable development projects; BANI environment; artificial intelligence (AI) tools; resilience; predictive analytics; resource optimization; decision-support systems; digital transformation; sustainability goals; risk mitigation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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