AI-Driven Efficiency in Workday: Automating Article Summarization in AI and Article Translation in AI

Authors: Monu Sharma

DOI: https://doi.org/10.5281/zenodo.14208800

Short DOI: https://doi.org/g8rrdt

Country: USA

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Abstract: Generative AI (Gen AI) is transforming knowledge management by automating content creation and updates. In the context of Help Articles, where content creators traditionally spend hours drafting and revising, Gen AI can quickly summarize lengthy documents into digestible formats like FAQs, summaries, or talking points. By leveraging AI models to distill complex information, organizations can keep their knowledge bases current and relevant, reducing the manual effort required to update content as policies and procedures change. This not only improves efficiency but also enhances the user experience, enabling employees to access clear and up-to-date information more easily, ultimately creating a more dynamic and responsive knowledge management system.

Workday Help combines knowledge and case management capabilities, enhancing employee engagement and reducing the demand for HR and IT support. The integration of generative Artificial Intelligence (AI) into Workday's Knowledge Management system optimizes content creation and translation, enabling a more efficient and scalable solution. Two key AI features are introduced: Article Summarization with AI and Article Translations with AI.
Article Summarization with AI helps content creators streamline the publishing process by summarizing extensive documents (e.g., DOCX, PDF, Help Articles) into concise summaries, FAQs, or talking points, reducing the time spent on content creation. This feature leverages the Google Vertex AI model to process and organize content efficiently.

Article Translations with AI addresses the need for global organizations to support multi-language Help Articles. By utilizing Google’s Cloud Translation API, this feature automates the translation of Help Articles into various languages, ensuring up-to-date content is available to a diverse, global workforce.
Both features are designed to enhance knowledge management by improving content accessibility and reducing manual workload. These AI-driven tools empower employees to self-serve, deflecting new cases from being created and enhancing overall operational efficiency. However, users must review and verify AI-generated content before use, as the system does not leverage user feedback for training or monitoring the models.

This paper outlines the functionality, training, limitations, and deployment of these AI-powered features, with a focus on enhancing Workday’s knowledge management system for organizations of all sizes

Keywords: AI, Workday,Workday AI, Integrations, AI automation, Document intelligence, API,GEN AI.

Paper Id: 231635

Published On: 2024-06-05

Published In: Volume 12, Issue 3, May-June 2024

Cite This: AI-Driven Efficiency in Workday: Automating Article Summarization in AI and Article Translation in AI - Monu Sharma - IJIRMPS Volume 12, Issue 3, May-June 2024. DOI 10.5281/zenodo.14208800

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