# Towards effective AI-powered agile project management

arXiv: https://arxiv.org/abs/1812.10578 · HTML: https://mlsanity.com/paper/1812.10578/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Dec 2018.

## Built on by (most cited first, 3 of 3)

- [From User Surveys to Telemetry-Driven AI Agents: Exploring the Potential of Personalized Productivity Solutions](https://mlsanity.com/paper/2401.08960/) (2024)
- [Empowering Business Transformation: The Positive Impact and Ethical Considerations of Generative AI in Software Product Management -- A Systematic Literature Review](https://mlsanity.com/paper/2306.04605/) (2023)
- [Toward Agentic Software Project Management: A Vision and Roadmap](https://mlsanity.com/paper/2601.16392/) (2026)

## Abstract (arXiv)

The rise of Artificial intelligence (AI) has the potential to significantly transform the practice of project management. Project management has a large socio-technical element with many uncertainties arising from variability in human aspects e.g., customers' needs, developers' performance and team dynamics. AI can assist project managers and team members by automating repetitive, high-volume tasks to enable project analytics for estimation and risk prediction, providing actionable recommendations, and even making decisions. AI is potentially a game changer for project management in helping to accelerate productivity and increase project success rates. In this paper, we propose a framework where AI technologies can be leveraged to offer support for managing agile projects, which have become increasingly popular in the industry.