Design and implementation of an AI agent for email marketing automation

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Authors: Sridhar Reddy Surukanti, George Sebastian, Tipanaboina Ajay, Sonte Siyram, Nidaram Vamshi Krishna, Aathkuri Gopi
Cited by: 0

Abstract

The Email AI Agent is an innovative, automated solution engineered to address the growing complexities of email management in today's fast-paced digital environment. With individuals and organizations facing an overwhelming influx of emails, this system offers an efficient way to streamline communication workflows. Developed using Node.js and TypeScript, the Email AI Agent ensures a scalable and reliable framework, integrating seamlessly with Gmail through the IMAP protocol. It leverages the advanced capabilities of the Grok API to craft intelligent, context-aware responses that emulate human communication, enhancing both efficiency and professionalism. Key functionalities include real-time inbox monitoring through continuous email polling, sophisticated spam filtering to bolster security, and the preservation of a consistent response persona to maintain communication integrity. The system's modular design further enables customization, allowing users to adapt it to diverse personal or professional requirements. By automating repetitive tasks such as sorting emails and drafting replies, the Email AI Agent significantly reduces manual effort, minimizes the potential for human error, and frees users to focus on higher-priority objectives. This project underscores the transformative potential of artificial intelligence in everyday applications, delivering a secure, scalable, and user-centric approach to email management. As email remains a vital component of modern interaction, the Email AI Agent not only boosts productivity but also sets a foundation for future advancements in AI-driven communication tools, promising a more automated and efficient future for digital correspondence.

Fields of Study & Subjects

Personal Information Management and User Behavior Artificial Intelligence Applications Spam and Phishing Detection

Publication details

Journal / source
CRC Press eBooks
Pages
744–752
Publication date
12 February 2026
Language
EN
Document type
Book chapter