Citation:

Ullas Das, 2025. "AI-Enhanced Engineering Collaboration: Transforming Globalized Agile Teams with Cloud-Based SaaS Solutions", ESP Journal of Engineering & Technology Advancements  5(3): 102-111.

Abstract:

The use of AI within SaaS platforms has greatly improved how worldwide Agile groups team up. The review examines how using AI in collaboration can help engineering teams from different parts of the world and time zones. This paper introduces the AI-Enhanced Engineering Collaboration Model (AI-EECM) based on an analysis of existing theories and models, including standard Agile development methods, cloud services and AI based SaaS tools. It connects predictive analysis, smart task dividing, better communication methods and ongoing learning to make project management more efficient and responsive. By comparing the two types of models, researchers found that AI-EECM is much better than traditional ones in forecasting, adapting and ensuring a productive team. The paper presents what AI-EECM means for practitioners and policymakers and gives advice on integrating and adopting it. The report concludes by outlining possible areas for future research to make full use of AI in team engineering activities.

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Keywords:

AI-Enhanced Collaboration, Globalized Agile Teams, Cloud-Based Saas, Predictive Analytics, Task Allocation, Engineering Collaboration, Machine Learning, Project Management, Cloud Platforms, AI-Driven Saas, Continuous Improvement, Agile Methodologies, Remote Collaboration, Predictive Performance, Resource Management.