Using AI to Optimize Internal Communication Flows Within Remote Work Organizations
Keywords:
Artificial Intelligence, Remote Work, Internal Communication, NLP, Organizational Efficiency, Communication OptimizationAbstract
The rise of remote work has transformed how organizations manage internal communication. Artificial Intelligence (AI), particularly natural language processing (NLP) and communication analytics, offers novel strategies to improve communication efficiency, reduce information overload, and enhance decision-making. This study synthesizes recent literature, analyzes existing AI tools applied in virtual environments, and proposes a conceptual AI framework to enhance organizational communication. Quantitative simulations and qualitative insights suggest that AI-assisted systems significantly reduce communication lag and increase response coherence within distributed teams.
References
Zhang, Y., Kim, H., & Lee, J. (2021). Automated Message Classification in Corporate Communication. Journal of Organizational Computing, 31(4), 285–303.
Kopparapu, V.S. (2025). Machine Learning-Driven Healthcare Fraud Detection: A Comprehensive Analysis of FAMS Implementation and Outcomes. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 2055–2063. https://doi.org/10.32628/CSEIT2511122162055
Subramanyam, S.V. (2025). Revolutionizing enterprise workflows: The role of declarative rules in business process systems. International Journal of Information Technology and Management Information Systems (IJITMIS), 16(2), 341–365.
Nguyen, T., & Cruz, A. (2020). Detecting Communication Overload with NLP in Remote Work Platforms. IEEE Transactions on Systems, Man, and Cybernetics, 50(12), 1098–1112.
Patel, R., Singh, M., & Wang, T. (2023). Chatbot Integration for Internal Corporate Communication: A Case Study. International Journal of Information Management, 63, 102484.
Kopparapu, V.S. (2025). Artificial Intelligence in Remote Patient Monitoring: A Comprehensive Review of Wearable Technology Integration in Modern Healthcare. International Research Journal of Modernization in Engineering Technology and Science, 7(2), 2272–2278. https://doi.org/10.56726/IRJMETS67549
Subramanyam, S.V. (2025). Cloud-based enterprise systems: Bridging scalability and security in healthcare and finance. International Journal on Science and Technology (IJSAT), 16(1), 1–20.
Ferrera, P., & Lopez, G. (2022). AI-Powered Tools for Digital Team Communication: A Meta-Analysis. Journal of Computer-Mediated Communication, 27(1), 56–73.
Kopparapu, V.S. (2025). Healthcare Insurance Data Infrastructure: A Comprehensive Analysis of EDI Standards and Processing Systems. International Journal of Research in Computer Applications and Information Technology (IJRCAIT), 8(1), 2341–2353. https://doi.org/10.34218/IJRCAIT_08_01_170
Subramanyam, S.V. (2025). Next-Generation Enterprise Solutions: Integrating AI with Business Process Automation. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(2), 451–470. https://doi.org/10.32628/CSEIT25112379451
Denecke, K., May, R., & Nejdl, W. (2021). How AI Can Support Communication in Remote Work: A Study on Team Coordination. Computers in Human Behavior, 122, 106843.
Subramanyam, S.V. (2024). Transforming financial systems through robotic process automation and AI: The future of smart finance. International Journal of Artificial Intelligence Research and Development (IJAIRD), 2(1), 203–223.
Gunkel, D. J. (2020). Artificial Intelligence and Communication: A Critical Perspective. Communication Theory, 30(1), 3–24.
Sharma, S., & Mahapatra, R. (2022). Natural Language Interfaces for Workplace Communication: Enhancing Efficiency Through AI. Information Systems Frontiers, 24(4), 983–997.
Bano, M., Zowghi, D., & Sarkar, A. (2021). Remote Collaboration and Communication in Agile Teams: Challenges and AI-Supported Solutions. Empirical Software Engineering, 26(5), 93.
Kopparapu, V.S. (2025). Cloud-Integrated Artificial Intelligence Framework for MRI Analysis: Advancing Radiological Diagnostics Through Automated Solutions. International Journal of Computer Engineering and Technology (IJCET), 16(1), 2892–2907. https://doi.org/10.34218/IJCET_16_01_203
Mehta, P., & Chugh, R. (2020). AI-Powered Collaboration Tools: Transforming Digital Workplaces. Journal of Organizational and End User Computing, 32(4), 49–65.
Alavi, M., & Leidner, D. E. (2023). AI-Augmented Knowledge Sharing in Distributed Work Environments. MIS Quarterly Executive, 22(1), 21–35.
Subramanyam, S.V. (2025). Transforming Lives with Accessible Business Process Systems in Healthcare. International Research Journal of Modernization in Engineering Technology and Science, 7(3), 541–550. https://doi.org/10.56726/IRJMETS68639
Watanabe, T., Yamashita, N., & Ishizuka, M. (2022). Facilitating Transparent Communication in Remote Teams Using AI Recommendations. ACM Transactions on Social Computing, 5(3), 12.
Liang, H., Xue, Y., & Byrd, T. A. (2021). Exploring AI-Driven Decision Support for Virtual Teams. Decision Support Systems, 141, 113432.
Zohdy, M. A., & Nasraoui, O. (2023). Smart Agents and AI Interfaces in Remote Organizational Structures. IEEE Transactions on Human-Machine Systems, 53(2), 198–207.
Tarafdar, M., Beath, C. M., & Ross, J. W. (2022). AI in Knowledge Work: Design and Oversight of Smart Communication Systems. Harvard Business Review Analytic Services, Special Report.
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Copyright (c) 2025 Sarita Kumari Gobinathan, (Author)

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