CHOIR: Chat-based Helper for Organizational Intelligence Repository
Sangwook Lee, Adnan Abbas, Yan Chen, Sang Won Lee

TL;DR
CHOIR is a chat-based assistant that integrates with organizational chat platforms to automatically manage, update, and preserve contextual knowledge documents, enhancing collaborative knowledge management in organizations.
Contribution
This paper introduces CHOIR, a novel chatbot that automates document updates and discussion initiation within chat platforms using LLMs, addressing manual effort and context preservation issues.
Findings
Initial design and implementation of CHOIR demonstrate its potential to streamline organizational knowledge management.
CHOIR effectively proposes document edits and facilitates discussions within chat environments.
Early deployment shows promise in maintaining organizational memory with reduced manual effort.
Abstract
Modern organizations frequently rely on chat-based platforms (e.g., Slack, Microsoft Teams, and Discord) for day-to-day communication and decision-making. As conversations evolve, organizational knowledge can get buried, prompting repeated searches and discussions. While maintaining shared documents, such as Wiki articles for the organization, offers a partial solution, it requires manual and timely efforts to keep it up to date, and it may not effectively preserve the social and contextual aspect of prior discussions. Moreover, reaching a consensus on document updates with relevant stakeholders can be time-consuming and complex. To address these challenges, we introduce CHOIR (Chat-based Helper for Organizational Intelligence Repository), a chatbot that integrates seamlessly with chat platforms. CHOIR automatically identifies and proposes edits to related documents, initiates…
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