Abstract: Embodiments herein recite a method including receiving a request to create a secure loan dataset, retrieving one or more data records associated with a user profile and a secure loan dataset associated with a first user, the one or more data records comprising at least a triggering employment status attribute that causes the server to execute a financial transaction associated with the secure loan dataset; mapping one or more data records associated with the user profile and the secure loan dataset; monitoring data associated with a modification to the triggering employment status attribute of a plurality of users of an enterprise; training a predictive model using the data associated with the plurality of users; executing the predictive model to predict data associated with the triggering employment status attribute; and generating a notification that includes a likelihood of the triggering employment status attribute.

Abstract: Embodiments herein recite a method comprising upon receiving an input from a computing device submitting a request for a transaction and indicating an employment triggering status, web-crawling, by a server, a plurality of online resources to identify a message containing at least one keyword related to the employment triggering status configured to cause the server to execute a transaction associated with a secure loan dataset of the computing device; appending, by the server, the message to the request; and generating, by the server, a stop signal for the transaction associated with the secure loan dataset when the message conflicts with the input.

Abstract: Embodiments herein recite a method including in response to receiving an indication of a first electronic communication session with a user computing device, retrieving, by a server, an identifier of a user operating the user computing device; retrieving, by the server, a secure loan dataset for the user, the secure loan dataset comprising at least a triggering employment status attribute that causes execution of a transaction associated with the secure loan dataset; executing, by the server using at least one of the attribute or data associated with the secure loan dataset, a computer model to determine a digital product attribute for the user; and routing, by the server, the first electronic communication session to an agent thereby establishing a second electronic communication session between the user computing device and an agent computing device operated by the agent.

Abstract: Embodiments herein recite a method including displaying, by a server, an input element on a graphical user interface configured to instruct the server to generate a secure loan dataset having a triggering employment status attribute that causes the server to execute a transaction associated with the secure loan dataset; receiving, by the server, a negative selection associated with the input element; executing, by the server, a computer model using at least one attribute of a user to simulate one or more scenarios in which the triggering employment status is modified; and dynamically revising, by the server, the graphical user interface to display data associated with at least one scenario simulating at least one modification of the triggering employment status.

Abstract: Computer systems and methods for generating portable and data-agnostic annuity datasets are disclosed where a central server generates multiple instructions to receive annuity dataset data records, participant attributes, and annuity attributes for a plurality of annuity datasets from employer servers and recordkeeper servers; integrates different annuity datasets by mapping the data fields of each respective annuity dataset and creating uniform data-agnostic annuity datasets; continuously monitors a performance value for each data-agnostic annuity dataset; and dynamically modifies recordkeepers when the performance value of annuity datasets do not satisfy a pre-determined threshold by modifying recordkeeper data records.

Abstract: Computer systems and methods for generating portable and data-agnostic annuity datasets are disclosed where a central server generates multiple instructions to receive annuity dataset data records, participant attributes, and annuity attributes for a plurality of annuity datasets from employer servers and recordkeeper servers; integrates different annuity datasets by mapping the data fields of each respective annuity dataset and creating uniform data-agnostic annuity datasets; continuously monitors a performance value for each data-agnostic annuity dataset; and dynamically modifies recordkeepers when the performance value of annuity datasets do not satisfy a pre-determined threshold by modifying recordkeeper data records.