Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for dynamic task routing. One of the methods includes: determining, for a task to be performed by a system that includes two or more entity tiers in a tier hierarchy, each tier of which including a multiple entities that can work on tasks and for processing a different complexity of tasks, a complexity of the task; determining whether the complexity of the task satisfies a complexity threshold; and in response to determining that the complexity of the task does not satisfy the complexity threshold, assigning the task to a default tier in the tier hierarchy to enable all of the entities in the default tier to work on different portions of the task.

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.

Abstract: According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.

Abstract: According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims. A risk transfer opportunity platform processor may, based on the received data, identify an insurance claim as being associated with a potential risk transfer opportunity. For the identified insurance claim, the risk transfer opportunity platform processor may automatically arrange for a potential risk transfer user interface to be displayed to a claim handler and may receive, via the potential risk transfer user interface, recovery details from the claim handler, including an overall total damage value and a high and low risk transfer value. A summary report may then be automatically generated for a plurality of insurance claims based in part on the recovery details received from the claim handler, and an indication of the summary report may be transmitted.

Abstract: According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims. A risk transfer opportunity platform processor may, based on the received data, identify an insurance claim as being associated with a potential risk transfer opportunity. For the identified insurance claim, the risk transfer opportunity platform processor may automatically arrange for a potential risk transfer user interface to be displayed to a claim handler and may receive, via the potential risk transfer user interface, recovery details from the claim handler, including an overall total damage value and a high and low risk transfer value. A summary report may then be automatically generated for a plurality of insurance claims based in part on the recovery details received from the claim handler, and an indication of the summary report may be transmitted.

Abstract: A system for assigning tasks to one of a plurality of workers. The system includes a processor configured to receive a first set of attributes related to a task. The processor is configured to determine whether the first set of attributes satisfies one of the stored exception rules. The processor is configured to determine whether the first set of attributes satisfies one of the stored escalation rules. The processor is configured to determine whether the first set of attributes satisfies one of the stored escalation rules after determining whether the first set of attributes satisfies the stored exception rules so that the task is driven down if one of the exception rules is satisfied even if the first set of attributes would have satisfied one of the escalation rules.

Abstract: A method for load balancing using a dynamic allowed deviation. The method includes identifying tasks to be assigned to workers and identifying a first set of attributes for each task. The method further includes the step of identifying a second set of attributes for each worker. The allowed deviation between the highest number of tasks assigned to a worker and the lowest number of tasks assigned to a worker based on the number of tasks being assigned during a predetermined time period is computed. Each of the plurality of tasks is assigned to a worker based on matching at the first set of attributes with the second set of attributes. The assigning of the tasks is conducted so that the difference between the highest number of tasks assigned to a worker and the lowest number of tasks assigned to a worker does not exceed the allowed deviation.

Abstract: A computer system for efficient processing of rules-based data. Computer-readable instructions cause one or more processors to generate one or more user interface displays including prompts for data indicative of employee data and jurisdiction; based on user inputs received in response, generate questions; based on responses to the questions and jurisdiction data, determine pay periods with prompts for employee wage data for each of the pay periods; determine gross wages in response to received employee wage data; determine average weekly wage data based on determined gross wages, and generate one or more formatted state forms including wage and average weekly wage data.

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.

Abstract: According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

Abstract: According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

Abstract: A computer system for efficient processing of rules-based data. Computer-readable instructions cause one or more processors to generate one or more user interface displays including prompts for data indicative of employee data and jurisdiction; based on user inputs received in response, generate questions; based on responses to the questions and jurisdiction data, determine pay periods with prompts for employee wage data for each of the pay periods; determine gross wages in response to received employee wage data; determine average weekly wage data based on determined gross wages, and generate one or more formatted state forms including wage and average weekly wage data.

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims. A risk transfer opportunity platform processor may, based on the received data, identify an insurance claim as being associated with a potential risk transfer opportunity. For the identified insurance claim, the risk transfer opportunity platform processor may automatically arrange for a potential risk transfer user interface to be displayed to a claim handler and may receive, via the potential risk transfer user interface, recovery details from the claim handler, including an overall total damage value and a high and low risk transfer value. A summary report may then be automatically generated for a plurality of insurance claims based in part on the recovery details received from the claim handler, and an indication of the summary report may be transmitted.