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.

A system may include a non-transitory computer-readable storage medium storing instructions for execution and one or more processors that execute the instructions. The instructions may cause the one or more processors to configure at least one parameter of a crowdsourcing request related to obtaining information relating to a collateral for a loan, publish the crowdsourcing request related to obtaining the information relating to the collateral for the loan to a group of information suppliers, collect and process a response from an information supplier of the group of information suppliers, where the response includes information on a condition of the collateral for the loan, process the response provided by the information supplier to determine whether an information supply event relating to the response is successful, and respond to a determination of a successful information supply event.

A system and method for automated blockchain custody service for managing a set of custodial assets includes a blockchain service circuit structured to interpret a plurality of access control features corresponding to parties associated with a secured loan; a data collection circuit structured to receive first collateral data from at least one sensor associated with the collateral used to secure the loan; receive second collateral data regarding an environment of the collateral from an IoT circuit; and associate the first collateral data and second collateral data with a unique identifier associated with the item of collateral, wherein the blockchain service circuit is structured to store the unique identifier and associated collateral data as blockchain data; a smart contract circuit structured to create a smart lending contract; and a secure access control circuit structured to receive access control instructions from a lender of the loan via an access control interface.

Systems and methods for automatic consideration of jurisdiction in loan related actions are disclosed. An example system may include a data collection circuit to determine location information corresponding to each entity involved in a loan; a jurisdiction definition circuit to determine a jurisdiction for at least one of the entities in response to the location information; and a smart contract circuit to automatically undertake a loan-related action for the loan based at least in part on the jurisdiction for at least one of the entities.

Systems and methods for automatic loan classification are disclosed. An example system may include a data collection circuit to collect a training set of interactions from at least one entity related to at least one loan transaction; an automated loan classification circuit trained on the training set of interactions to classify at least one loan negotiation action; and a robotic process automation circuit trained on a training set of a plurality of loan negotiation actions classified by the automated loan classification circuit and a plurality of loan transaction outcomes to negotiate terms and conditions of a new loan on behalf of a party to the new loan.

Systems and methods for crowdsourcing a condition of collateral are disclosed herein. An example system may include a set of crowdsourcing services by which a crowdsourcing request is communicated to a group of information suppliers and by which responses to the crowdsourcing request are collected and processed to provide a reward to at least one successful information supplier. The example system may further include an interface to the set of crowdsourcing services that enables configuration of parameters of the crowdsourcing request, wherein the crowdsourcing request and the parameters are configured to obtain information related to a condition of a set of collateral for the loan. The example system may further include a set of publishing services that publish the crowdsourcing request.

A system that varies the terms and conditions of a subsidized loan includes a blockchain service circuit structured to interpret a plurality of access control features corresponding to a plurality of parties associated with a loan; a data collection circuit structured to interpret entity information corresponding to a plurality of entities related to a lending transaction corresponding to the loan; a smart contract circuit structured to specify loan terms and conditions relating to the loan; and a loan management circuit structured to interpret loan related events in response to the entity information, the plurality of access control features, and the loan terms and conditions, wherein the loan related events are associated with the loan; and implement loan related activities in response to the entity information, the plurality of access control features, and the loan terms and conditions, wherein the loan related activities are associated with the loan.

Systems and related methods include an Internet of Things data collection circuit structured to collect information about at least one entity involved in at least one transaction comprising at least one bond, a condition classifying circuit structured to classify a condition of the at least one entity in accordance with a model and based on information from the Internet of Things data collection circuit, wherein the model is trained using a training data set of a plurality outcomes related to the at least one entity, and an event processing circuit structured to undertake an action related to the at least one transaction in response to the classified condition of the at least one entity.

Systems and methods for crowdsourcing data collection for condition classification of bond entities are disclosed. An example system may include a crowdsourcing data collection circuit to collect information about entities involved in a set of bond transactions and a training data set of outcomes related to the entities. The example system may include a condition classifying circuit to classify a condition of a set of issuers using the information from the crowdsourcing data collection circuit and a model, where the model is trained using the training data set of outcomes related to the set of issuers. The example system may also include an automated agent circuit to perform an action related to a debt transaction in response to the classified condition of at least one issuer of the set of issuers.