Abstract: A system and method for allocating jobs to an agent is disclosed. In one embodiment, a method for allocating jobs to an agent includes defining, for each job of the jobs, a job type associated with at least one job and at least one sub-step associated with the at least one job, determining eligibility to perform the at least one sub-step by an agent of agents, determining a number of jobs of each job type to be performed by the agent based on the eligibility determination, and automatically generating agent-specific job queues based on the number of jobs.

Abstract: An algorithm system and method is disclosed. In one embodiment, a method includes selecting an algorithm to calculate a demand factor for each job in a job list requiring a demand factor calculation, calculating the demand factor using the selected algorithm, and assigning the calculated demand factors to the corresponding jobs in the job list. The calculating demand factor using the selected algorithm includes utilizing data associated with a job in the job list to calculate the demand factor using the selected algorithm. For example, the data includes aging data of the jobs, job status data, and client priority data of the job.

Abstract: An automated data analysis and recommendation system and method are disclosed. In one embodiment, a method of providing a process cockpit includes configuring a definition of requirements through a user interface, analyzing extracted process data and extracting information from the analyzed process data, via a computer, based on the requirements, generating, via the computer, recommended actions based on the information, and determining, via the computer, a related series of interdependent actions and an impact on the related series of interdependent actions based on the particular recommended action for each recommended action.

Abstract: A system and method for allocating jobs to an agent is disclosed. In one embodiment, a method for allocating jobs to an agent includes defining, for each job of the jobs, a job type associated with at least one job and at least one sub-step associated with the at least one job, determining eligibility to perform the at least one sub-step by an agent of agents, determining a number of jobs of each job type to be performed by the agent based on the eligibility determination, and automatically generating agent-specific job queues based on the number of jobs.

Abstract: An algorithm system and method is disclosed. In one embodiment, a method includes selecting an algorithm to calculate a demand factor for each job in a job list requiring a demand factor calculation, calculating the demand factor using the selected algorithm, and assigning the calculated demand factors to the corresponding jobs in the job list. The calculating demand factor using the selected algorithm includes utilizing data associated with a job in the job list to calculate the demand factor using the selected algorithm. For example, the data includes aging data of the jobs, job status data, and client priority data of the job.

Abstract: A dynamic work allocation system and method is disclosed. In one embodiment, a method includes dynamically classifying jobs into job lists according to a predetermined classifying process by a collecting engine, a controlling engine, and a monitoring engine, dynamically prioritizing the jobs within each job list of the jobs lists into an ordered job list according to a predetermined prioritizing process by the collecting engine, the controlling engine, the monitoring engine, a diagnosing engine, a learning engine, and a predicting engine, and dynamically mapping the jobs in the ordered job list to agents according to a predetermined mapping process by the collecting engine, the controlling engine, the monitoring engine, the diagnosing engine, the learning engine, and the predicting engine. The method may include dynamically collecting of a job of the jobs and/or information associated with the job of the jobs by the collecting engine and the controlling engine.

Abstract: An automatic business process platform and method is disclosed. In one embodiment, a method includes monitoring systems, resources, persons, and/or processes, and controlling the systems, the resources, the persons, and/or the processes. The method may include diagnosing, an issue associated with the systems, the resources, the persons, and/or the processes, and providing advice to change at least one state of the systems, the resources, the persons, and/or the processes. The method may also include predicting at least one future state of the systems, the resources, the persons, and/or the processes. The method may further include learning to determine an association of at least one state of the systems, the resources, the persons, and the processes with at least one state of the systems, the resources, the persons, and the processes.