AUTOMATED TECHNICAL SUPPORT USING AI IN WEB ENVIRONMENTS

Abstrak

This article presents an evaluation of AI-powered support bots for technical assistance on web platforms. It explores how conversational agents automate user support, reduce response time, and improve scalability. A prototype chatbot was implemented using Python-based tools and trained on a real FAQ dataset. Results show improved response accuracy and efficiency compared to traditional ticket-based systems. However, challenges such as fallback handling and contextual continuity remain critical. The study provides a framework for designing and deploying intelligent, cost-effective support bots for modern web infrastructures.