Authors: Meera Kulkarni
Abstract: Natural Language Processing (NLP) has emerged as a transformative technology within enterprise service management (ESM), fundamentally altering how organizations interact with users, handle service requests, and optimize workflows. Leveraging AI-driven NLP enables enterprises to interpret unstructured human language input, automate routine processes, and generate actionable insights from vast and complex data sets. This article explores the multi-dimensional impact of NLP on ESM, illustrating how it enhances efficiency, accuracy, and user experience across organizational service functions. Through intelligent ticket classification, conversational agents, predictive analytics, and workflow orchestration, NLP empowers enterprises to shift from reactive to proactive service models. The seamless understanding and generation of natural language improve communication fluidity, reducing resolution times and minimizing human workload. Furthermore, NLP-driven self-service platforms enable employees and customers to resolve issues autonomously, elevating satisfaction levels and operational scalability. This integrated approach not only accelerates service delivery but also fosters data-driven decision making for continuous improvement. The vast applicability of NLP in domains such as IT service management, HR, facilities, and customer support underscores its strategic value. This article comprehensively examines these facets, highlighting the evolving landscape of ESM fueled by NLP innovations and its future trajectory towards more intelligent, autonomous enterprise ecosystems.
