A system, apparatus and method for automatic entity classification based on social media data is disclosed. An example system may include a social network data collection circuit to collect information about at least one entity involved in a bond transaction, and a condition classifying circuit to classify a condition of the at least one entity in accordance with a model and based on information from the social network data collection circuit, where the model is trained using a training data set of a plurality of outcomes related to the at least one entity. The system may further include an automated bond management circuit to manage an action related to the bond in response to the classified condition of the at least one entity.

A system, apparatus and method for automatic entity classification based on social media data is disclosed. An example system may include a social network data collection circuit to collect information about at least one entity involved in a bond transaction, and a condition classifying circuit to classify a condition of the at least one entity in accordance with a model and based on information from the social network data collection circuit, where the model is trained using a training data set of a plurality of outcomes related to the at least one entity. The system may further include an automated bond management circuit to manage an action related to the bond in response to the classified condition of the at least one entity.

Systems and methods using IOT input to validate a loan guarantee are disclosed. An example system may include an Internet of Things (IoT) data input circuit to interpret a loan guarantee parameter; an IoT data collection circuit to collect data using at least one algorithm that is configured to monitor IoT information collected from and about an entity involved in a loan in response to the loan guarantee parameter; and a guarantee validation circuit to validate a guarantee for the loan in response to the monitored IoT information.

Systems and methods using IOT input to validate a loan guarantee are disclosed. An example system may include an Internet of Things (IoT) data input circuit to interpret a loan guarantee parameter; an IoT data collection circuit to collect data using at least one algorithm that is configured to monitor IoT information collected from and about an entity involved in a loan in response to the loan guarantee parameter; and a guarantee validation circuit to validate a guarantee for the loan in response to the monitored IoT information.

Methods and systems for homeowner-directed risk mitigation for damage to a property associated with insurance-related events are provided. A smart home controller may analyze data received from a plurality of smart devices disposed on, or proximate to, a property as well as data received from an insurance provider. If it is determined that an actual or potential risk of property damage exists, the smart home controller may transmit an alert to a homeowner detailing the risk. The homeowner may respond to the alert by transmitting an instruction to mitigate or prevent damage associated with the risk back to the smart home controller. Subsequently, the smart home controller may transmit information about the actual or potential risks and any homeowner-directed mitigative actions to an insurance provider. The insurance provider may interpret the transmitted data and perform insurance activities, such as providing discounts and adjusting an insurance policy associated with the property.

Methods and systems for homeowner-directed risk mitigation for damage to a property associated with insurance-related events are provided. A smart home controller may analyze data received from a plurality of smart devices disposed on, or proximate to, a property as well as data received from an insurance provider. If it is determined that an actual or potential risk of property damage exists, the smart home controller may transmit an alert to a homeowner detailing the risk. The homeowner may respond to the alert by transmitting an instruction to mitigate or prevent damage associated with the risk back to the smart home controller. Subsequently, the smart home controller may transmit information about the actual or potential risks and any homeowner-directed mitigative actions to an insurance provider. The insurance provider may interpret the transmitted data and perform insurance activities, such as providing discounts and adjusting an insurance policy associated with the property.

Systems and methods for automatic classification of loan refinancing interactions and outcomes are disclosed. An example system may include a data collection circuit to collect a training set of loan interactions between entities, wherein the training set of loan interactions comprises a set of loan refinancing activities and a set of loan refinancing outcomes; an artificial intelligence circuit to classify the set of loan refinancing activities, wherein the artificial intelligence circuit is trained on the training set of loan interactions; and a robotic process automation circuit to perform a second loan refinancing activity on behalf of a party to a second loan, wherein the robotic process automation circuit is trained on the set of loan refinancing activities and the set of loan refinancing outcomes.

Systems and methods for automatic classification of loan refinancing interactions and outcomes are disclosed. An example system may include a data collection circuit to collect a training set of loan interactions between entities, wherein the training set of loan interactions comprises a set of loan refinancing activities and a set of loan refinancing outcomes; an artificial intelligence circuit to classify the set of loan refinancing activities, wherein the artificial intelligence circuit is trained on the training set of loan interactions; and a robotic process automation circuit to perform a second loan refinancing activity on behalf of a party to a second loan, wherein the robotic process automation circuit is trained on the set of loan refinancing activities and the set of loan refinancing outcomes.

Systems and methods for automatically restructuring debt are disclosed. An example system may include a data collection circuit to monitor and collect information about at least one entity involved in a loan; and a smart contract circuit to automatically restructure a debt related to the loan based on the monitored and collected information about the at least one entity involved in the loan.

Systems and methods for automatically restructuring debt are disclosed. An example system may include a data collection circuit to monitor and collect information about at least one entity involved in a loan; and a smart contract circuit to automatically restructure a debt related to the loan based on the monitored and collected information about the at least one entity involved in the loan.