Abstract: During a communication session with a caller, a representative can enter information into a claim loss reporting tool to generate a loss report associated with an insurance claim. A dialogue advisor can cause the claim loss reporting tool to suggest questions that the representative should ask, and/or actions the representative should take, during the communication session. The dialogue advisor can make such suggestions, during the communication session, based at least in part on confidence levels of simulated destination predictions that correspond with destination predictions a claim router would make according to the same information associated with the loss report.

Abstract: Candidate function data can include data for multiple candidate functions that may indicate whether insurance claims are likely to involve certain issues, such as comparative negligence issues. A real-time claim identifier can use the candidate function data to determine, in near real-time, if claim data for a new insurance claim submitted to an insurance company satisfies at least one of the candidate functions. If the claim data satisfies at least one of the candidate functions, the insurance claim can be assigned to a corresponding destination in the insurance company, such as a department that processes comparative negligence claims, for further processing.

Abstract: Variants of an application, such as user interface variants and/or logic variants, can be used in a production environment as part of a designed experiment. An experiment manager can cause the application to operate based on different variants for different users and/or instances of input data. Synchronous and/or asynchronous results can be collected that indicate impacts of the variants at the application and/or other downstream systems. Such asynchronous and/or synchronous results can be used to prove or disprove a hypothesis associated with the designed experiment.

Abstract: Candidate function data can include data for multiple candidate functions that may indicate whether insurance claims are likely to involve certain issues, such as comparative negligence issues. A real-time claim identifier can use the candidate function data to determine, in near real-time, if claim data for a new insurance claim submitted to an insurance company satisfies at least one of the candidate functions. If the claim data satisfies at least one of the candidate functions, the insurance claim can be assigned to a corresponding destination in the insurance company, such as a department that processes comparative negligence claims, for further processing.

Abstract: A claim assignment system can cause insurance claims to be assigned among different groups within an insurance company. The claim assignment system can have a rules engine and a machine learning engine that both recommend a group to which a claim can be assigned. The claim assignment system can be configured to select the group for the claim based on a recommendation from the machine learning model if a confidence level of the machine learning assignment recommendation meets or exceeds a threshold value, and otherwise select the group for the claim based on the assignment recommendation from the rules engine.