23 Daily — According to thebridge.jp, on November 9, 2026, Qianwen Office launched version 2.0, introducing the capability for multiple users to collaborate with the same AI Agent simultaneously. The update integrates data spaces and AI tables to aggregate multi-party information from meetings and business activities, effectively avoiding information duplication and loss, thereby driving innovation in team organizational productivity.
Multi-user Collaboration with a Single AI Agent Enhances Efficiency
Qianwen Office 2.0 supports multiple people interacting with the same AI Agent at once, breaking the limitations of personal assistants and enabling AI-powered team collaboration. By combining data spaces with AI tables, team members can consolidate information from various sources within a unified platform, ensuring continuity and completeness of data, significantly reducing communication costs and errors caused by scattered information.
Integration with DingTalk Ecosystem Optimizes Large Team Management
The new version deeply integrates with the DingTalk collaboration ecosystem, offering task progress monitoring and to-do reminders designed for large teams. This helps managers and members keep track of work status in real time, promoting on-time project delivery. This is especially valuable in complex, multi-party collaboration scenarios, improving project management efficiency and transparency.
Editor's take: A New Era for AI-assisted Team Collaboration
The multi-user collaboration with the Agent in Qianwen Office 2.0 represents a key transition of AI from serving as a personal assistant to becoming a team collaboration partner. For entrepreneurs, such products mean leveraging AI to enhance internal information flow and task management, boosting overall team productivity. Assessing these collaboration tools should focus on the completeness of information aggregation and improvements in task progression efficiency during actual use, which can be measured by comparing project completion times and instances of communication breakdowns before and after implementation.