arXiv:2606.26593v1 Announce Type: new Abstract: Email communication has become an integral part of personal and professional life, but handling its vast volume is still a significant issue for large organisations. Manual perusal of emails and forwarding their contents and attachments to intended recipients using other instant messaging platforms has proved to be error-prone and time-consuming leading to losses in terms of productivity and creating undue stress. The main objective of this paper is to explore an alternative mechanism that is to automate the task of dispatching emails based on th
The proliferation of Large Language Models (LLMs) and the increasing volume of digital communication are driving the urgent need for automated solutions to manage information overload, making this application timely.
This paper highlights a practical application of AI in automating a common, labor-intensive white-collar task, indicating a broader trend towards AI-driven workplace efficiency and the potential for significant productivity gains.
The use of LLMs for content-based email dispatching moves beyond simple rule-based automation, allowing for a more nuanced and intelligent handling of digital correspondence, reducing manual effort and errors.
- · Large organizations
- · Productivity software companies
- · AI developers
- · Knowledge workers
- · Legacy email management systems
- · Manual data entry roles
- · Companies slow to adopt AI
Immediate reduction in time spent on email triage and dispatch for large organizations.
Increased overall organizational productivity and reallocation of human resources to higher-value tasks.
The development of more sophisticated, fully autonomous AI agents capable of managing complex communication workflows end-to-end, further eroding traditional white-collar job functions.
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