@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://preview.aclanthology.org/fix-sig-urls/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."
}