Optimizing Agile Project Management with a Copilot Extension for Jira: Integrating AI, Automation, and Business Intelligence

Agile project management relies on responsive tools that support automation, intelligent assistance, and data-driven decision-making. While Jira is widely adopted in agile environments, it lacks advanced features for proactive support, workflow automation, and business intelligence. This paper presents the design and evaluation of a Copilot extension for Jira that leverages Microsoft Copilot Studio, Power Automate, and Power BI. The solution enables conversational interaction within Microsoft Teams, automates task workflows, and delivers real-time analytics through dynamic dashboards. Developed using the Scrum framework across iterative sprints and evaluated with a quasi-experimental pre/post design in two Jira projects, the extension improves task automation, project visibility, and user interaction. Contributions include streamlined ticket handling, enhanced decision-making with KPIs, and a user-centric conversational interface. Results indicate significant gains in efficiency and reporting latency, illustrating how AI + BI + automation can augment Jira for agile teams.

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Publication Details

Journal
Procedia Computer Science
Published
2026-01-01
DOI
https://doi.org/10.1016/j.procs.2026.03.200
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Agile Project Management with a Copilot Extension for Jira: Integrating AI, Automation, and Business Intelligence

Ahmed Bellaaj, Mariam Ben Hassen
Procedia Computer Science
Software Engineering Techniques and Practices
article

Optimizing Agile Project Management with a Copilot Extension for Jira: Integrating AI, Automation, and Business Intelligence

Ahmed Bellaaj, Mariam Ben Hassen
article en

Abstract

Agile project management relies on responsive tools that support automation, intelligent assistance, and data-driven decision-making. While Jira is widely adopted in agile environments, it lacks advanced features for proactive support, workflow automation, and business intelligence. This paper presents the design and evaluation of a Copilot extension for Jira that leverages Microsoft Copilot Studio, Power Automate, and Power BI. The solution enables conversational interaction within Microsoft Teams, automates task workflows, and delivers real-time analytics through dynamic dashboards. Developed using the Scrum framework across iterative sprints and evaluated with a quasi-experimental pre/post design in two Jira projects, the extension improves task automation, project visibility, and user interaction. Contributions include streamlined ticket handling, enhanced decision-making with KPIs, and a user-centric conversational interface. Results indicate significant gains in efficiency and reporting latency, illustrating how AI + BI + automation can augment Jira for agile teams.

Procedia Computer ScienceVol. 278
University of Gafsa (TN), Institut Supérieur des Études Technologiques de Gafsa (TN), Université Privée du Sud (TN)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Software Engineering Techniques and Practices
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