This study examines the impact of Artificial Intelligence (AI) tools on documentation processes, with special reference to Coimbatore city. In today\\\'s rapidly evolving digital landscape, organizations generate and manage enormous volumes of data daily, making efficient documentation systems increasingly critical. Traditional manual documentation methods are prone to errors, delays, and inefficiencies, creating an urgent need for intelligent automation. AI-powered technologies such as Optical Character Recognition (OCR), Natural Language Processing (NLP), and Machine Learning (ML) have emerged as powerful solutions to automate, organize, and enhance documentation workflows. This study investigates the awareness, usage patterns, perceived benefits, and challenges associated with AI tools in documentation among employees, business professionals, and students in Coimbatore city. Based on primary data collected from 100 respondents through structured questionnaires and analyzed using Chi-Square and Kruskal-Wallis tests, the study finds that while AI tools are gradually being adopted, awareness remains moderate and adoption is not yet fully mainstream. Key benefits identified include cost reduction, improved accuracy, and enhanced productivity. Major challenges include technical issues and data security concerns. The study concludes that organizations must invest in awareness programs, training, and robust data security frameworks to realize the full potential of AI-driven documentation systems.
Arutgeeviha et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: