An alarm management system includes a control arrangement, an alarm device, a blockchain, a blockchain application, and a plurality of nodal access sites. The arrangement includes a processor and a storage medium. The device is configured to output an event signal to the control arrangement. The blockchain is stored in the medium, and includes a plurality of transaction types. Each transaction type includes at least one linked transaction, and the at least one linked transaction is time stamped. The blockchain application is stored in the medium, and is executed by the processor, and is configured to time stamp each one of the transactions. The blockchain is applied by the application to determine a current associated transaction with any one of the transaction types, and output data associated with the current transaction. The plurality of nodal access sites are configured to receive and output the data associated with the current transaction.

An alarm management system includes a control arrangement, an alarm device, a blockchain, a blockchain application, and a plurality of nodal access sites. The arrangement includes a processor and a storage medium. The device is configured to output an event signal to the control arrangement. The blockchain is stored in the medium, and includes a plurality of transaction types. Each transaction type includes at least one linked transaction, and the at least one linked transaction is time stamped. The blockchain application is stored in the medium, and is executed by the processor, and is configured to time stamp each one of the transactions. The blockchain is applied by the application to determine a current associated transaction with any one of the transaction types, and output data associated with the current transaction. The plurality of nodal access sites are configured to receive and output the data associated with the current transaction.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

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.

A system and method for facilitating foreclosure on collateral is disclosed. An example system may include a lending agreement storage circuit structured to store a plurality of lending agreement data comprising at least one lending agreement, wherein the lending agreement comprises a lending condition data comprising terms and condition data of the at least one lending agreement related to a foreclosure condition on at least one asset that provides a collateral condition related to a collateral asset for securing a repayment obligation of the at least one lending agreement; a data collection services circuit structured to monitor the lending condition data and to detect a default condition based on a change to the lending condition data; and a smart contract services circuit structured to interpret the default condition and communicate a default condition indication that initiates a foreclosure procedure based on the collateral condition and the default condition.

A system and method for facilitating foreclosure on collateral is disclosed. An example system may include a lending agreement storage circuit structured to store a plurality of lending agreement data comprising at least one lending agreement, wherein the lending agreement comprises a lending condition data comprising terms and condition data of the at least one lending agreement related to a foreclosure condition on at least one asset that provides a collateral condition related to a collateral asset for securing a repayment obligation of the at least one lending agreement; a data collection services circuit structured to monitor the lending condition data and to detect a default condition based on a change to the lending condition data; and a smart contract services circuit structured to interpret the default condition and communicate a default condition indication that initiates a foreclosure procedure based on the collateral condition and the default condition.