Building a .NET and AI-Powered Collaborative Platform to Strengthen Inter-Entity Relationships and Foster US Economic Growth

Bokka, Veera Venkata Ramana Murthy (2025) Building a .NET and AI-Powered Collaborative Platform to Strengthen Inter-Entity Relationships and Foster US Economic Growth. Global Journal of Engineering and Technology Advances, 22 (1). pp. 129-141. ISSN 2582-5003

In this study, we take stock of how AI powered collaborative platforms, utilizing .NET technologies can be integrated to handle several critical inter-entity collaboration problems and their potential in boosting economic growth of US. Increasingly, demand in business, finance and government organizations is mounting on efficient communication and data sharing, and AI and .NET frameworks are offering strong solutions at hand. In particular, the research shows that these technologies can enhance collaboration in terms of scalability, system reliability, data security and processing of large volumes of real time data. For organizations, this implementation of AI driven tools such as predictive analytics, machine learning and real time monitoring can be used to make better decisions, boost productivity and build better inter organizational relationships. The challenge of integrating AI and .NET frameworks is evident though they have the potential. Systems are not compatible, infrastructure for legacy applications is a limitation, and it is a complex matter to make sure real time data can be exchanged between dissimilar platforms. Secondly, data privacy and security risks, and scalability problems in large—scale environment are critical areas of concern. This study looks in detail at how these challenges are being tackled, and what further refinements are required to enhance the performance and reliability of collaborative platforms. The results of this research provide important implications for business, policy makers and financial institutions wanting to develop economies by using AI and .NET technologies. In addition, the paper highlights research gaps and emerging issues related to AI powered collaboration, which may drive future innovation, technological development and policy reforms. Finally, the research hopes to guide the creation of more efficient, scalable, and secure collaborative platforms that can support sustainable U.S. economy growth.