@inproceedings{kaur-etal-2025-advanced,
title = "Advanced Messaging Platform ({AMP}): Pipeline for Automated Enterprise Email Processing",
author = "Kaur, Simerjot and
Smiley, Charese and
Ramani, Keshav and
Kochkina, Elena and
Sibue, Mathieu and
Mensah, Samuel and
Totis, Pietro and
Tilli, Cecilia and
Aguda, Toyin and
Borrajo, Daniel and
Veloso, Manuela",
editor = "Rehm, Georg and
Li, Yunyao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-industry.57/",
doi = "10.18653/v1/2025.acl-industry.57",
pages = "813--825",
ISBN = "979-8-89176-288-6",
abstract = "Understanding and effectively responding to email communication remains a critical yet complex challenge for current AI techniques, especially in corporate environments. These tasks are further complicated by the need for domain-specific knowledge, accurate entity recognition, and high precision to prevent costly errors. While recent advances in AI, specifically Large Language Models (LLMs), have made strides in natural language understanding, they often lack business-specific expertise required in such settings. In this work, we present Advanced Messaging Platform (AMP), a production-grade AI pipeline that automates email response generation at scale in real-world enterprise settings. AMP has been in production for more than a year, processing thousands of emails daily while maintaining high accuracy and adaptability to evolving business needs."
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%0 Conference Proceedings
%T Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing
%A Kaur, Simerjot
%A Smiley, Charese
%A Ramani, Keshav
%A Kochkina, Elena
%A Sibue, Mathieu
%A Mensah, Samuel
%A Totis, Pietro
%A Tilli, Cecilia
%A Aguda, Toyin
%A Borrajo, Daniel
%A Veloso, Manuela
%Y Rehm, Georg
%Y Li, Yunyao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-288-6
%F kaur-etal-2025-advanced
%X Understanding and effectively responding to email communication remains a critical yet complex challenge for current AI techniques, especially in corporate environments. These tasks are further complicated by the need for domain-specific knowledge, accurate entity recognition, and high precision to prevent costly errors. While recent advances in AI, specifically Large Language Models (LLMs), have made strides in natural language understanding, they often lack business-specific expertise required in such settings. In this work, we present Advanced Messaging Platform (AMP), a production-grade AI pipeline that automates email response generation at scale in real-world enterprise settings. AMP has been in production for more than a year, processing thousands of emails daily while maintaining high accuracy and adaptability to evolving business needs.
%R 10.18653/v1/2025.acl-industry.57
%U https://aclanthology.org/2025.acl-industry.57/
%U https://doi.org/10.18653/v1/2025.acl-industry.57
%P 813-825
Markdown (Informal)
[Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing](https://aclanthology.org/2025.acl-industry.57/) (Kaur et al., ACL 2025)
ACL
- Simerjot Kaur, Charese Smiley, Keshav Ramani, Elena Kochkina, Mathieu Sibue, Samuel Mensah, Pietro Totis, Cecilia Tilli, Toyin Aguda, Daniel Borrajo, and Manuela Veloso. 2025. Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), pages 813–825, Vienna, Austria. Association for Computational Linguistics.