AI-powered Email Automation with Contextual Knowledge Search

Author(s)	Dr. Urmila Rajendra Pol
Country	India
Abstract	In today's digital era, email remains a vital communication medium within academic and organizational settings. Nonetheless, the rapid increase in email volume and information overload poses significant difficulties in effectively managing and addressing relevant content. This paper investigates AI-enhanced email automation systems that incorporate contextual knowledge retrieval. These advanced systems utilize natural language processing (NLP), deep learning, and information retrieval techniques to comprehend, prioritize, and respond to email messages automatically, while concurrently extracting pertinent information from knowledge bases. By integrating contextual search features, the automated responses produced are precise, tailored, and based on specific institutional or domain knowledge. The study further examines the system architecture, employed algorithms, practical applications in academia and industry, and discusses ethical considerations along with prospective developments.
Keywords	Artificial Intelligence, Email Automation, Contextual Knowledge Search, Natural Language Processing, Deep Learning, Machine Learning, Information Retrieval
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 6, November-December 2025
Published On	2025-11-13
DOI	https://doi.org/10.63363/aijfr.2025.v06i06.2005
Short DOI	https://doi.org/g998qz

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