Leveraging large language models for enhanced client communication in consulting

Pattanayak, Suprit Kumar (2025) Leveraging large language models for enhanced client communication in consulting. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 867-876. ISSN 2582-8266

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Abstract

This research explores the potential of large language models (LLMs) to revolutionize client communication in management consulting. Through a comprehensive analysis of current LLM capabilities and consulting industry needs, we propose a framework for integrating these AI technologies to enhance consultant-client interactions. Our mixed-methods study combines a systematic literature review, expert interviews, and a quantitative survey of 250 consulting professionals. Results indicate that LLMs can significantly improve communication efficiency, personalization, and knowledge transfer in consulting engagements. Key applications include automated report generation, real-time language translation, and AI-assisted Q&A systems. However, challenges around data privacy, model bias, and maintaining the human touch in consulting relationships must be addressed. This paper contributes to the growing body of research on AI applications in professional services and offers practical guidelines for consulting firms seeking to leverage LLMs responsibly.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0607
Uncontrolled Keywords: Large language models; Artificial intelligence; Management consulting; Client communication; Natural language processing
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:24
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3615