This paper, Generative AI in Project Management and Software Product Delivery: A Comprehensive Survey, explores how generative AI is transforming project management and software delivery by improving tasks such as requirements drafting, backlog refinement, issue triage, code generation, testing, and operational support. The study reviews 50 academic, industry, and governance sources to examine both the productivity benefits and the risks of AI adoption in modern delivery environments. It argues that generative AI is most effective when used as a grounded and verified assistant within structured workflows rather than as a replacement for human judgment. The paper also highlights key concerns including hallucinations, insecure code, governance, accountability, and ethical oversight, ultimately concluding that organizations will gain the most value when AI is combined with strong review, measurement, and control systems.
Rahul et al. (Sat,) studied this question.