Abstract: A customized surveillance task management system is implemented to intelligently schedule tasks for the user. Via an internet connection a user accesses a list of surveillances to be accomplished. The schedule of surveillances is created from information initially loaded into a centralized database that is subsequently analyzed by the schedule engine and written back into the database. Following execution of these surveillances the user again accesses the system to input data acquired. The user then inputs data to the database via the internet interface via preset database fields rendered to the client machine. This data is again analyzed by the scheduling engine and, with the help the scheduling, criticality, random sampling, and surveillance method assistants, provides the user with an updated schedule list and best set of surveillance methods dependent upon pass/fail rates and criticality of failures.