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International Journal of Information Systems and Project Management

Abstract

Artificial intelligence (AI) is reshaping agile Information Technology project management by introducing automation and intelligent decision support. This study explores the strategic implications of AI adoption within agile frameworks using a SWOT analysis approach. A systematic literature review of 48 peer-reviewed studies was conducted to identify strengths, weaknesses, opportunities, and threats associated with AI integration in agile environments. The findings reveal that AI significantly enhances sprint planning, backlog prioritization, effort estimation, and software testing; resulting in faster development cycles, improved code quality, and better decision-making. However, these benefits require substantial workflow restructuring, investment in technology, as well as workforce upskilling. Weaknesses and threats are identified, but opportunities for scalable automation and hybrid human-AI collaboration look promising for organizations that adopt AI strategically. The study emphasized the importance of Project Management Technology Quotient (PMTQ) as a critical competency for practitioners navigating AI-augmented workflows. By aligning AI capabilities with agile principles alongside robust governance models, organizations can optimize AI for sustained competitive advantage in the digital project economy.

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