Hybrid and nearshore outsourcing models are widely used to balance cost efficiency, talent availability, and operational flexibility, but they face challenges such as time-zone misalignment, uneven workload distribution, and limited performance monitoring. Traditional project management tools rely on static coordination and lack intelligent decision-making. This work proposes a smart platform based on an agentic AI-driven multi-agent architecture to manage distributed teams. The system decomposes project goals into tasks and assigns them using expertise, time-zone compatibility, and historical data. Specialized AI agents handle scheduling, performance prediction, and risk assessment. Built on an event-driven architecture, the platform enables real-time synchronization and continuous learning. Results show improved task allocation, early risk detection, and enhanced productivity compared to traditional approaches.