Guidewire Software, Inc.

Seshadhri Pakshi Rajan

Luis Arturo Diaz

Matthew Carl Hamilton

Applying funds is disclosed. A set of interfaces for configuring filtering criteria and receiving user configurations of the filtering criteria is displayed. Fund information pertaining to a fund that is to be applied to one or more receivables under an insurance policy account is received. A set of eligible receivables is identified based on filtering information included in the fund information and a set of preconfigured filtering criteria. A set of ranked receivable partitions to which the fund is applied is established based on a set of preconfigured priority criteria and using the fund information and information associated with the set of eligible receivables. The fund is applied to the ranked receivables partitions according to the rankings.

Fund allocation configuration

Insurance billing includes receiving a plurality of exceptions arising out of one or more billing events and associated with one or more billed parties; categorizing the plurality of exceptions into a plurality of exception groups based at least in part on one or more types of exceptions; determining, for an exception group corresponding to a particular type of exception, a plurality of exception metrics for each of one or more corresponding billed parties; presenting, to the user, a selectable plurality of exception groups; and in response to a user selection of a particular exception group, presenting to the user one or more billed party identifiers of the one or more corresponding billed parties in the particular exception group and the plurality of exception metrics determined for each of the one or more corresponding billed parties.

Method and apparatus pertaining to metrics-based prioritization of billing exceptions

A computer-based billing system presents, via an end-user interface, a plurality of exceptions as have occurred with respect to corresponding billing events as pertain to a plurality of billed parties while also presenting exceptions metrics as pertain to this plurality of exceptions. These exceptions metrics include at least one age-related metric, at least one financial-related metric, and at least one count-related metric. These teachings then further provide for permitting the end user to selectively prioritize the presenting of the plurality of exceptions as a function of at least one of these exceptions metrics.

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Belmont, CA, United States of America

Seshadhri Pakshi Rajan