Process Flow Optimization: Enhancing Cross-Team Collaboration in Agile Environments
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© 2025 by IJCTT Journal
Volume-73 Issue-3
Year of Publication : 2025
Authors : Sanjay Mood
DOI :  10.14445/22312803/IJCTT-V73I3P108

How to Cite?

Sanjay Mood, "Process Flow Optimization: Enhancing Cross-Team Collaboration in Agile Environments," International Journal of Computer Trends and Technology, vol. 73, no. 3, pp. 64-68, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I3P108

Abstract
Agile practices are widely used to handle modern projects' complexity and fast pace, but many teams still struggle with poor cross-functional collaboration. Common issues include unclear communication, imbalanced workloads, and disconnected tools. This paper presents a practical framework designed to streamline Agile workflows by combining popular tools like JIRA and MS Project with AI-based features. These enhancements support real-time feedback, automatic task prioritization, and workload balancing. The model was tested through two industry case studies—from finance and healthcare— and showed significant improvements in delivery speed, coordination, and team satisfaction. The study offers a hands-on solution for teams aiming to improve collaboration without building custom AI systems, making it scalable and ready for use.

Keywords
Agile workflows, Team coordination, Project task prioritization, AI in sprint planning, JIRA-based automation.

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