Abstract: The present disclosure relates generally to data migration and, more particularly, to a system and method for post migration payroll reconciliation. The method of migrating data includes: receiving, by a computer system, projected input codes of a first system for use by a payroll engine; receiving, by the computer system, actual input codes of a second system for use by the payroll engine; comparing, by the computer system, the projected input codes to the actual input codes to determine misalignment of input codes between the first system and the second system; and mapping the misaligned projected input codes to the actual input codes.

Abstract: A system can receive, via a chatbot interface, a textual input related to an electronic report. The system can generate, using a large language model, an output including a set of keywords, a rephrased version of the textual input, and an intent sentence. The system can filter, using the output from the large language model, an ontology stored in a database to generate a filtered ontology, including one or more ontology elements, intents, and examples. The system can generate, using the large language model and the filtered ontology, a plurality of actions that are compatible with the electronic report. The system can display, via the chatbot interface, the actions. The system can receive, via the chatbot interface, an indication to execute an action. The system can provide, responsive to the indication, instructions to execute the action on the electronic report to modify the electronic report.

Abstract: Filtering user intents corresponding to user utterances is provided. A list of allowed user intents is generated, using a natural language understanding model of a chatbot, based on identifying one or more of a set of user intents corresponding to a user utterance within a filtered user intent mapping table. It is determined whether a user intent having a highest confidence score in the set of user intents corresponding to the user utterance is contained in the list of allowed user intents. In response to determining that the user intent having the highest confidence score in the set of user intents corresponding to the user utterance is contained in the list of allowed user intents, content corresponding to the user intent having the highest confidence score is sent, using the chatbot, to a client device of a user who submitted the user utterance as a response to the user utterance.

Abstract: A system can receive textual input from a client device via a chatbot interface. The system can classify, by machine learning models, the textual input into categories, where the categories correspond to content-based categories and attribute categories. The system can determine, by the machine learning models, a polarity score for the textual input based on the categories. The system can detect, via a payroll processing system, a payroll-related event based on the polarity score and the profile. The system can identify, using the machine learning models, a churning event based on the payroll-related event. The system can generate, by the machine learning models, a command to adjust access control policies associated with the profile, where the command modifies access to a subset of payroll records maintained in a database.

Abstract: A multiple electronic signature platform is provided. A system determines, based on a first model, a constraint to electronically sign an electronic document. The system identifies a plurality of candidate electronic signatures linked with an entity that satisfy the constraint. The system generates, based on a second model established for the entity, a ranking of the plurality of candidate electronic signatures that satisfy the constraint. The system provides, based on the ranking, an indication of one or more electronic signatures of the plurality of candidate electronic signatures. The system constructs, responsive to a selection of an electronic signature of the one or more electronic signatures, a modified electronic document with the electronic signature.

Abstract: A system can receive textual input from a client device via a chatbot interface. The system can identify a profile data structure based on an identifier of the client device. The system can classify, by machine learning models, the textual input into categories, where the categories correspond to content-based categories and attribute categories. The system can determine, by the machine learning models, a polarity score for the textual input based on the categories. The system can input the categories, the polarity score, and the identifier into a payroll processing system to identify a payroll-related event and extract data corresponding to the payroll-related event. The system can provide the extracted data to the machine learning models to generate an output response data structure. The system can transmit the output response data structure to the client device to parse the output response data structure and present a corresponding message dialog.

Abstract: Disclosed are various embodiments for an automated process for configuring a client device for software development in a particular development environment defined by an organization. In one example, a computing device is configured to configure a development environment associated with an organization on the computing device. A developer tool application associated with the organization can be downloaded. The computing device can modify a targeted application associated with the developer tool application and generate documentation for the targeted application based at least in part on the modification of the targeted application. An error assessment of a software upload can be performed. The software upload can be transmitted to a code repository based at least in part on the error assessment indicating that the software upload is compliant with an error configuration file.

Abstract: A method, system, and computer program code for determining a tax incentive for an employer. A set of cards is displayed on the storyboard interface. Each card is related to a particular criterion for determining and eligibility of the employer for the tax incentive. In response to receiving a selection of a particular card, a set of modal windows, including a set of data fields that are relevant to a particular criterion, is displayed on the storyboard interface. Information for the employer is identified that is relevant to the particular criterion. The set of data fields it is populated based on a portion of the information. A tax incentive amount is calculated based on the portion of the information. A document it is generated for claiming the tax incentive. The document includes the portion of the employer information and the incentive amount.

Abstract: Providing an embedded resource management platform within a user interface frame is provided. A processor can create a user interface frame based on a resource management application provided by a resource management server, determine features of a third-party application and configure the user interface frame of the resource management application according to the features. The processor can provide the configured user interface frame for display within the third-party application and establish a secure communication channel for data exchange between the configured user interface frame and the resource management server in accordance with a security policy of the resource management server. The processor can create, for embedding with the third-party application, an application programming interface for the third-party application that is configured to call into a function of the resource management application via the secure communication channel.

Abstract: The present disclosure relates generally to systems and processes for position fulfillment and, more particularly, to systems and methods of identifying and matching human resources to an open employment position within an organization. The method includes: obtaining, by a computer system, one or more profiles from one or more data sources; analyzing, by the computer system, the one or more profiles to parse attributes and find similarities and/or recurring occurrences in the parsed attributes; normalizing the parsed attributes based on the at least one similarities and recurring occurrences; and matching the normalized attributes to attributes of an open position.

Abstract: A machine learning (ML)-based service performance digital assistant is provided. The system can include a computing system with a processor and memory that can analyze an electronic transcript from audio samples of a client-service communication and detect a trigger phrase related to the performance event of an application using a first ML model. The system can generate, based on the trigger phrase, a search query using a second ML model trained on data corresponding to performance events. The system can select, based on the search query, an electronic resource via a search engine and send it to the provider device during the ongoing communication session between the client and the service device.

Abstract: A system can include one or more memory devices that can store instructions thereon. The instructions can, when executed by one or more processors, cause the one or more processors to receive training data to indicate correlations between a plurality of parameters of a plurality of entities and a plurality of metrics of the plurality of entities, train a machine learning model to identify the correlations between the plurality of parameters and the plurality of metrics, detect a selection to indicate a change to a first parameter associated with a first entity of the plurality of entities, identify a second plurality of metrics associated with the first parameter, transmit a first Application Programming Interface (API) call to receive first values associated with the second plurality of metrics, generate a prediction to indicate a plurality of changes to the first values, generate and display a user interface.

Abstract: The technical solution provides automated generating of customized applications using ledger metadata templates with user-defined elements for the customized application. The solution can identify a ledger comprising a plurality of parameters for a plurality of elements of an application and construct a plurality of metadata corresponding to the plurality of elements using the plurality of parameters. The solution can adjust, based on a validation rule for an element, a metadata corresponding to the element. The solution can select a plurality of functions corresponding to the plurality of elements and generate, using the plurality of functions, a version of the application configured based at least on the plurality of metadata comprising the adjusted metadata.

Abstract: A method, system, and computer program product are provided for generating an external payroll policy for a payroll system. A legacy schema is identified for execution by a legacy payroll system. A set of functions and rules is identified within a processing flow of the legacy schema. The external payroll policy is generated in a selected format type, according to a processing flow of the functions and rules that were identified within the legacy schema.

Abstract: A method, apparatus, system, and computer program code for data reconciliation and task processing implemented in a dashboard interface. A dashboard interface is displayed having a number of tabs that correspond to categorical processing steps for the task, vertically arranged along an edge of the dashboard. The number of tabs include at least an overview tab, a configuration tab, a reconciliation tab, and a transaction tab. A number of selectable parameters are retrieved selected from the configuration tab. Data is aggregated and processed across multiple database tables according to the selected parameters. The aggregated data is displayed on the dashboard interface as a series of cards arranged horizontally according to a logical sequence of user interactions. At least one card includes a visualization of the aggregated data that is displayed in a progressive format that enables a user to drill-down into data details of a selected segment of the visualization.

Abstract: Asynchronous messaging on an instant messaging system is provided. The method comprises receiving an instant message from a send addressed to a recipient on the instant messaging system and determining a current user status of the recipient. Responsive to a determination the recipient is currently available, the instant messaging system sends the instant message to the recipient in real time. Responsive to a determination the recipient is currently unavailable, the instant messaging system, according to sender preferences, sends the instant message to the recipient via an alternative communication system or stores the instant message in a queue until triggered to send the instant message when the current user status of the recipient changes to available.

Abstract: A method, computer system, and computer program product for consolidating financial transactions of an employee in a payment technology gateway. The payment technology gateway comprises an electronic wallet linked to a payment technology application and a paycard linked to the payment technology application. The payment technology gateway is configured to be a single gateway through which the employee conducts financial transactions on a number of accounts using the electronic wallet and the paycard. Each financial transaction is validated by the payment technology gateway.

Abstract: A method, apparatus, system, and computer program code for accessing data using a dynamic API. A computer system receives, from a requesting service, a request to access data contained in one or more data sets organized into a set of domains. The request is received according to a target schema of the requesting service. The computer system identifies an endpoint configuration for a domain that provides access to the data that was requested. The endpoint configuration is generated from an API description describing the target schema that is published by the domain. The computer system decorates the endpoint configuration with additional information identified from metadata documents corresponding to the data set. The A computer system translates the request into a common schema, and retrieving the data from the domain according to the common schema.

Abstract: A method, apparatus, system, and computer program code for automatic data retrieval and validation. A computer system generates an audit file including a set of data objects. The computer system validates the data objects with a compliance policy by deploying a set of software bots to interact at a user level with a set of application programs. In response to validating the data objects, the computer system reflects validation results into a user interface.