AI offers numerous opportunities to improve managerial control and monitoring of projects and team performance:

1. Real-time Monitoring: AI tools can track and provide real-time updates on project progress, team performance, deadlines, and more. This allows managers to address issues promptly.
2. Predictive Analytics: AI can predict potential risks or delays based on patterns and trends, enabling proactive problem-solving and risk management.
3. Automated Reporting: AI can generate automated reports on project progress, team performance, and other key metrics, reducing the time spent on manual reporting.
4. Performance Analytics: AI can analyze individual and team performance data to identify strengths, weaknesses, and areas for improvement.
5. Task Tracking: AI tools can monitor the status of individual tasks, identifying bottlenecks or delays and notifying managers.
6. Resource Utilization: AI can monitor the use of resources, helping managers ensure resources are used effectively and efficiently.
7. Quality Control: AI can automate some aspects of quality control, identifying errors or discrepancies and alerting managers.
8. Decision Support: AI can provide data-driven insights and recommendations to support managerial decision-making.
9. Scheduling and Planning: AI can aid in scheduling and planning tasks based on various factors such as team availability, project deadlines, and task priority.
10. Collaboration Enhancement: AI can facilitate team collaboration by providing tools for communication, document sharing, and collective decision-making.
11. Conflict Detection: AI can detect potential conflicts in scheduling, resource allocation, or team dynamics, alerting managers so they can take action.
12. Employee Engagement and Wellbeing: Some AI tools can analyze patterns in communication, workload, and other factors to monitor employee engagement and wellbeing.

While AI can significantly enhance managerial control and monitoring, it's important to balance this with trust and autonomy for team members. Additionally, privacy and ethical considerations should be respected when implementing and using AI tools for monitoring.