Three steps to build an intelligent task tracking system
For the pain points of cross-departmental collaboration, Tencent Meeting AI Assistant Pro provides a complete solution:
Step 1: Intelligent Recognition Tasks
The system uses NLP technology to automatically capture statements containing the responsible body (e.g., "The technical department will submit the proposal by Wednesday"), with an accuracy of 92%. It is recommended to use the standardized expression of "responsible person + task + ddl" for the statements (e.g., "Please ask Director Wang of the marketing department to confirm the budget by the end of the day on Friday") to improve the accuracy of recognition: It is recommended to use the standardized expression of "responsible person + task + ddl" (e.g., "Please ask Director Wang of the Marketing Department to confirm the budget before the end of the day on Friday") to improve the recognition accuracy.
Step 2: Automatically generate a to-do list
After the meeting: 1) View the colored to-do items on the meeting minutes page (red for urgent/yellow for important/green for routine) 2) Click "Export" and select "Unfinished business only" 3) Set up automatic email reminders (support setting up reminders 1-3 days in advance)
Step 3: Implement closed-loop management
Through the enterprise WeChat / Nail binding function: 1) tasks are automatically synchronized to the collaboration platform 2) the responsible person comes to the meeting system to mark the progress after completion 3) the AI will automatically broadcast the unfinished matters at the beginning of the next meeting. After a Fortune 500 company adopted this program, the on-time completion rate of tasks increased by 67%.
This answer comes from the articleTencent Conference AI Assistant: An Auxiliary Tool to Intelligently Enhance Conference EfficiencyThe
