@inproceedings{khan-etal-2025-intimebot,
title = "Intimebot {--} A Dialogue Agent for Timekeeping Support",
author = "Khan, Shoaib and
Samani, Alex and
Banchs, Rafael",
editor = "Torres, Maria Ines and
Matsuda, Yuki and
Callejas, Zoraida and
del Pozo, Arantza and
D'Haro, Luis Fernando",
booktitle = "Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology",
month = may,
year = "2025",
address = "Bilbao, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.iwsds-1.20/",
pages = "196--199",
ISBN = "979-8-89176-248-0",
abstract = "This demo paper presents intimebot, an AI-powered timekeeping solution designed to assist with timekeeping. Timekeeping is a fundamental but also overwhelming and complex task in many professional services practices. Our intimebot demo demonstrates how Artificial Intelligence can be utilized to implement a more efficient timekeeping process within a firm. Based on brief work descriptions provided by the timekeeper, intimebot is able to (1) predict the relevant combination of client, matter, and phase, (2) estimate the work effort hours, and (3) rewrite and normalize the provided work description into a compliant narrative. This can save a significant amount of time for busy professionals while ensuring terms of business compliance and best practices."
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<abstract>This demo paper presents intimebot, an AI-powered timekeeping solution designed to assist with timekeeping. Timekeeping is a fundamental but also overwhelming and complex task in many professional services practices. Our intimebot demo demonstrates how Artificial Intelligence can be utilized to implement a more efficient timekeeping process within a firm. Based on brief work descriptions provided by the timekeeper, intimebot is able to (1) predict the relevant combination of client, matter, and phase, (2) estimate the work effort hours, and (3) rewrite and normalize the provided work description into a compliant narrative. This can save a significant amount of time for busy professionals while ensuring terms of business compliance and best practices.</abstract>
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%0 Conference Proceedings
%T Intimebot – A Dialogue Agent for Timekeeping Support
%A Khan, Shoaib
%A Samani, Alex
%A Banchs, Rafael
%Y Torres, Maria Ines
%Y Matsuda, Yuki
%Y Callejas, Zoraida
%Y del Pozo, Arantza
%Y D’Haro, Luis Fernando
%S Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology
%D 2025
%8 May
%I Association for Computational Linguistics
%C Bilbao, Spain
%@ 979-8-89176-248-0
%F khan-etal-2025-intimebot
%X This demo paper presents intimebot, an AI-powered timekeeping solution designed to assist with timekeeping. Timekeeping is a fundamental but also overwhelming and complex task in many professional services practices. Our intimebot demo demonstrates how Artificial Intelligence can be utilized to implement a more efficient timekeeping process within a firm. Based on brief work descriptions provided by the timekeeper, intimebot is able to (1) predict the relevant combination of client, matter, and phase, (2) estimate the work effort hours, and (3) rewrite and normalize the provided work description into a compliant narrative. This can save a significant amount of time for busy professionals while ensuring terms of business compliance and best practices.
%U https://aclanthology.org/2025.iwsds-1.20/
%P 196-199
Markdown (Informal)
[Intimebot – A Dialogue Agent for Timekeeping Support](https://aclanthology.org/2025.iwsds-1.20/) (Khan et al., IWSDS 2025)
ACL
- Shoaib Khan, Alex Samani, and Rafael Banchs. 2025. Intimebot – A Dialogue Agent for Timekeeping Support. In Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology, pages 196–199, Bilbao, Spain. Association for Computational Linguistics.