Hybrid and nearshore outsourcing paradigms are becoming more popular in order to strike a balance between cost-effectiveness availability of talent and flexibility in operations nevertheless the problem of time- zone lack can affect geographically distributed teams and some of the issues include an uneven distribution of workload and infrequent monitoring of performance on the team the traditional project management tools use a static method of coordination and are not smart in terms of decision making in this project a smart platform to manage nearshore and hybrid outsourcing teams with an agentic ai based multi-agent architecture is introduced the platform automatically breaks down project goals into tasks and allocates them based on the knowledge availability time-zone coverage and historical outcomes specialized ai agents are involved in the organization of tasks time management forecasting performance and assessing risks the system developed based on an event-driven architecture with real time synchronization and continuous learning provides better accuracy in task allocation early risk identification and productivity in a distributed outsourcing setting.
P et al. (Thu,) studied this question.