Strategic project leadership: the case for integrating systems thinking and artificial intelligence

Abstract

This paper positions itself at the intersection of systems thinking and Artificial Intelligence (AI) within the context of strategic project leadership, responding to the escalating complexity and interdependence inherent in modern project environments. Traditional project management methods often fall short in addressing the manifold challenges of today’s large-scale projects, where leaders must navigate complex dependencies, rapid technological transitions, and a spectrum of competing priorities. In order to bridge these gaps, this paper presents an Integrated Intelligence Framework, which unites the epistemological depth of systems thinking with the analytical precision of AI. Through this dual approach, project leaders gain a sophisticated toolkit to manage complexity, anticipate challenges, optimise resource allocation, and align project outcomes with broader organisational objectives. Key contributions include emphasising the importance of data governance and quality, which are foundational to credible AI insights, and establishing ethical and transparent practices to mitigate risks associated with AI’s expanding role in decision-making. Additionally, we highlight the significance of cross-functional collaboration and adaptive team training, which collectively support a systems-thinking mindset and enable the effective application of AI tools. Practical guidance on agile and hybrid methodologies is also offered, illustrating how iterative approaches facilitate real-time adaptation to shifting project conditions. The framework also further underscores the need for alignment with organisational goals, ensuring that AI and systems thinking are not only tactical tools but strategic assets. We thus argue that the implications of this work extend beyond operational efficiencies, reshaping our understanding of project leadership in complex environments.

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ORCID for Nicholas Dacre: orcid.org/0000-0002-9667-9331

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