A system and method for dynamically allocating resources in a process. A demand pattern change detection unit, a future demand forecasting unit and a process optimization engine can be employed to constantly adjust resource allocation and assist in maintaining processes in a state of peak performance. An initial resource allocation unit generates an initial resource allocation plan based on past experience with respect to the process. The change detection unit detects a shift in the job demand pattern utilizing a statistical data when a change occurs in process requirements. The future demand generation unit accurately generates future demand data based on current job data and the outlook of future demand. The optimization engine acts as a surrogate process expert and provides recommendations to the process owner regarding potential possible resource allocation policies for new job demand data utilizing a simulation process to predict the result of variable staffing configurations.