A system, method, and computer-readable medium are disclosed for intelligent User workload orchestration for virtual meetings. A virtual meeting for multiple users is initiated. Voice data of multiple users is received and converted to text data. Machine learning processes the text data to action items to be performed by specific users (i.e., meeting attendees) in real-time. Minutes of the meeting and action items (in the form of real-time and passive recommendations) are generated and provided. In order to perform the action items, determination is made as to which third party applications support the action items and intelligent user workload orchestration is employed.