The AI-powered automation in contact centers: Enhancing self-service and agent support

Vunnava, Manoj Kumar (2025) The AI-powered automation in contact centers: Enhancing self-service and agent support. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1299-1309. ISSN 2582-8266

This article examines the transformative impact of AI-powered automation on contact center operations, with particular focus on self-service capabilities and agent support systems. Beginning with a historical perspective on contact center technology evolution, this article explores how Natural Language Processing has emerged as a cornerstone technology enabling more intuitive and efficient customer interactions through conversational AI, sentiment analysis, and advanced intent recognition. This article addresses key implementation considerations including integration architectures, workforce transformation implications, and measurement methodologies for quantifying customer experience improvements. Particular attention is given to the ethical dimensions of AI deployment in customer service contexts, including data privacy compliance, algorithmic bias mitigation, and appropriate transparency in automated decision-making. The article further explores how intelligent routing and resource optimization capabilities are redefining operational efficiency paradigms while maintaining service quality. Looking toward future developments, this article considers emerging NLP capabilities, integration opportunities with adjacent technologies, and research gaps that present both challenges and opportunities for organizations navigating the AI transformation journey in customer service delivery. Throughout, the article emphasizes that successful implementation requires balancing technological sophistication with ethical mindfulness to create service experiences that genuinely enhance customer relationships.