Communication signal controller architecture for deploying multimodal conversational interfaces

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:
• obtain, by a communication session signal controller coupled to one or more artificial intelligence agents, data indicating an occurrence of an event associated with at least one entity,
• wherein the at least one entity is associated with one or more available operations between the one or more artificial intelligence agents and the at least one entity,
• wherein each artificial intelligence agent corresponds to a respective computer-executable operation set configured to be autonomously executed by the respective artificial intelligence agent on a respective software application set;
• obtain, from an entity property repository, a primary entity property set associated with a primary entity;
• determine, by the one or more artificial intelligence agents, one or more selected operations of the one or more available operations by:
• filtering, based at least in part on the primary entity property set, the one or more available operations to identify one or more potential operations with the at least one entity,
• wherein the one or more potential operations are available to be performed by the one or more artificial intelligence agents on behalf of the primary entity,
• generating, for each of the one or more potential operations, a respective policy-alignment output,
• wherein each policy-alignment output is generated based at least in part on the primary entity property set, an execution risk metric of the respective potential operation, and a respective policy ruleset,
• wherein each policy-alignment output characterizes a degree of alignment between a respective potential operation and the primary entity property set and a degree of adherence between the respective potential operation and the respective policy ruleset, and
• identifying, based on the policy-alignment output, one or more selected operations of the one or more potential operations;
• generate a communication artifact,
• wherein the communication artifact comprises a description of (a) the event, (b) the one or more selected operations, and (c) a degree of alignment between the one or more selected operations and at least one property of the primary entity property set,
• wherein the communication artifact includes at least two of:
• text, audio data, image data, or video data;
• transmit, by the communication session signal controller to an endpoint, the communication artifact,
• wherein transmitting the communication artifact causes an initiation of a communication session between the primary entity and the one or more artificial intelligence agents via the endpoint;
• and
• store, in an append-only data structure, a trace log comprising (a) an indication of the event associated with the at least one entity, (b) an indication of the one or more selected operations, and (c) a cryptographic commitment over at least a portion of the communication artifact.

A computer-implemented method comprising:

• receiving, by a communication session signal controller coupled to one or more artificial intelligence agents, an occurrence of an event associated with at least one entity,
• wherein the entity is associated with one or more available operations between the one or more artificial intelligence agents and the at least one entity,
• wherein each artificial intelligence agent corresponds to a respective computer-executable operation set configured to be autonomously executed by the respective artificial intelligence agent on a respective software application set;
• obtaining, from an entity property repository, a primary entity property set associated with a primary entity;
• determining, by the one or more artificial intelligence agents, a selected operation associated with the at least one entity by:
• filtering, based at least in part on the primary entity property set, the one or more available operations to identify one or more potential operations with the at least one entity,
• wherein the one or more potential operations are available to be performed by the one or more artificial intelligence agents on behalf of the primary entity,
• generating, for each of the one or more potential operations, a respective policy-alignment output,
• wherein each policy-alignment output is generated based at least in part on the primary entity property set, an execution risk metric of the respective potential operation, and a respective policy ruleset,
• wherein each policy-alignment output characterizes a degree of alignment between a respective potential operation and the primary entity property set and a degree of adherence between the respective potential operation and the respective policy ruleset, and
• identifying, based on the policy-alignment output, a selected operation of the one or more potential operations;
• generating a communication artifact,
• wherein the communication artifact comprises a description of (a) the event, (b) the selected operation, and (c) a degree of alignment between the selected operation and at least one property of the primary entity property set,
• wherein the communication artifact includes at least two of:
• text, audio data, image data, or video data;
• transmitting, by the communication session signal controller to an endpoint, the communication artifact,
• wherein transmitting the communication artifact causes an initiation of a communication session between the primary entity and the one or more artificial intelligence agents via the endpoint;
• generating a trace log entry,
• wherein the trace log entry comprises (a) an indication of the event associated with the at least one entity, (b) an indication of the selected operation, and (c) a cryptographic commitment over at least a portion of the communication artifact;
• and
• storing the trace log entry in an append-only data store.