Caching event artifacts for communication session transmission via one or more engagement channels of a multimodal interface

A system comprising:

• at least one hardware processor;
• and
• at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
• compile, from one or more data streams associated with a primary entity, a history of interactions between the primary entity and one or more other entities;
• generate, based on the history of interactions, a set of primary entity properties associated with the primary entity,
• wherein each property in the set of primary entity properties is associated with one or more categories of events;
• and
• wherein the set of primary entity properties includes at least one of:
• a risk tolerance associated with the primary entity, a time horizon associated with the primary entity, an entity preference associated with the primary entity, an entity interaction composition associated with the primary entity, a liquidity profile associated with the primary entity, an engagement signal received from the primary entity, or an account permission associated with the primary entity;
• detect, by one or more AI agents, (i) occurrence of a first event and (ii) a category of the first event;
• in response to detecting the occurrence of the first event:
• select a subset of the set of primary entity properties,
• wherein each property in the subset of the set of primary entity properties is associated with the category of the first event;
• and
• assign, by the one or more AI agents, a first priority metric to the first event,
• wherein the first priority metric is based on the subset of the set of primary entity properties;
• and
• continuously monitor, by one or more artificial intelligence (AI) agents comprising a combination of hardware and/or software and executing one or more AI models, a plurality of sources to detect events associated with available interactions with one or more public entities,
• wherein the plurality of sources includes at least two of an Internet news source, a public entity value source, and an entity ownership source;
• detect, via the continuous monitoring of the one or more AI agents, (i) occurrence of a first event and (ii) a category of the first event;
• in response to detecting the occurrence of the first event:
• select a first subset of the set of primary entity properties,
• wherein each property in the first subset of the set of primary entity properties is associated with the category of the first event, and
• assign, by the one or more AI agents, a first priority metric to the first event,
• wherein the first priority metric is based on the first subset of the set of primary entity properties;
• in response to the first priority metric falling within a first predetermined metric range:
• generate, by the one or more AI agents, a first event artifact based on the first event and the set of primary entity properties;
• and
• select, by the one or more AI agents, one or more engagement channels of a multimodal interface accessible by the primary entity;
• and
• transmit to the primary entity, via the one or more engagement channels, the first event artifact, thereby initiating a communication session between the primary entity and the one or more AI agents,
• cache the first event artifact for future transmission during a communication session between the one or more AI agents and the primary entity;
• detect, by the one or more AI agents, (i) occurrence of a second event and (ii) a category of the second event;
• in response to detecting the occurrence of the second event:
• select a second subset of the set of primary entity properties,
• wherein each property in the second subset of the set of primary entity properties is associated with the category of the second event, and
• assign, by the one or more AI agents, a second priority metric to the second event,
• wherein the second priority metric is based on the second subset of the set of primary entity properties;
• in response to the second priority metric falling within a second predetermined metric range:
• generate, by the one or more AI agents, a second event artifact based on the second event and the set of primary entity properties;
• select, by the one or more AI agents, one or more engagement channels of a multimodal interface accessible by the primary entity;
• and
• transmit to the primary entity, via the one or more engagement channels, the first event artifact and the second event artifact, thereby initiating the communication session;
• receive from the primary entity, via the one or more engagement channels, a response associated with an action based on at least one of the first event artifact or the second event artifact;
• determine, by the one or more AI agents, an execution protocol for performing the action,
• wherein the execution protocol is either automatic execution of the action by the one or more AI agents, supervised action by the one or more AI agents, or transfer to an advisory entity;
• and
• cause performance of the action in accordance with the execution protocol.

A method comprising:

• compiling, from one or more data streams associated with a primary entity, a history of interactions between the primary entity and one or more other entities;
• generating, based on the history of interactions for each primary entity in a set of primary entities, a set of primary entity properties associated with the primary entity,
• wherein each set of primary entity properties is based on a history of interactions between the primary entity and one or more other entities;
• wherein each property in the set of primary entity properties is associated with one or more categories of events;
• continuously monitoring, by one or more artificial intelligence (AI) agents comprising a combination of hardware and/or software and executing one or more AI models, a plurality of sources to detect events associated with available interactions with one or more public entities,
• wherein the plurality of sources includes at least two of an Internet news source, a public entity value source, and an entity ownership source;
• detecting, via the continuous monitoring of the one or more AI agents, (i) occurrence of a first event and (ii) a category of the first event;
• by one or more AI agents, occurrence of a first event associated with one or more available interactions with one or more public entities;
• generating, by the one or more AI agents, a first event artifact based on the first event;
• and
• in response to detecting the occurrence of the first event, for each primary entity in the set of primary entities:
• assigning, by the one or more AI agents, a priority metric to the first event,
• wherein the priority metric is based on the set of primary entity properties associated with the primary entity;
• and
• in response to the priority metric falling within a first predetermined metric range:
• selecting, by the one or more AI agents, one or more engagement channels of a multimodal interface accessible by the primary entity;
• and
• transmitting to the primary entity, via the one or more engagement channels, the first event artifact;
• in response to detecting the occurrence of the first event:
• selecting a first subset of the set of primary entity properties,
• wherein each property in the first subset of the set of primary entity properties is associated with the category of the first event, and
• assigning, by the one or more AI agents, a first priority metric to the first event,
• wherein the first priority metric is based on the first subset of the set of primary entity properties;
• in response to the first priority metric falling within a first predetermined metric range:
• generating, by the one or more AI agents, a first event artifact based on the first event and the set of primary entity properties;
• and
• caching the first event artifact for future transmission during a communication session between the one or more AI agents and the primary entity;
• detecting, by the one or more AI agents, (i) occurrence of a second event and (ii) a category of the second event;
• in response to detecting the occurrence of the second event:
• selecting a second subset of the set of primary entity properties,
• wherein each property in the second subset of the set of primary entity properties is associated with the category of the second event, and
• assigning, by the one or more AI agents, a second priority metric to the second event,
• wherein the second priority metric is based on the second subset of the set of primary entity properties;
• in response to the second priority metric falling within a second predetermined metric range:
• generating, by the one or more AI agents, a second event artifact based on the second event and the set of primary entity properties;
• selecting, by the one or more AI agents, one or more engagement channels of a multimodal interface accessible by the primary entity;
• and
• transmitting to the primary entity, via the one or more engagement channels, the first event artifact and the second event artifact, thereby initiating the communication session;
• receiving from the primary entity, via the one or more engagement channels, a response associated with an action based on at least one of the first event artifact or the second event artifact;
• determining, by the one or more AI agents, an execution protocol for performing the action,
• wherein the execution protocol is either automatic execution of the action by the one or more AI agents, supervised action by the one or more AI agents, or transfer to an advisory entity;
• and
• causing performance of the action in accordance with the execution protocol.