A virtual assistant system for communicating with customers uses human intelligence to correct any errors in the system AI, while collecting data for machine learning and future improvements for more automation. The system may use a modular design, with separate components for carrying out different system functions and sub-functions, and with frameworks for selecting the component best able to respond to a given customer conversation. The system may have agent assistance functionality that uses natural language processing to identity concepts in a user conversation and to illustrate that concepts within a graphical user interface of a human agent so that the human agent can more accurately and more rapidly assist the user in accomplishing the user's conversational objectives.

Apparatuses and methods concerning providing a data-communications virtual assistant are disclosed. As an example, one apparatus includes a data-communications server. The data-communications server is configured to process user-data-communications between a client station and another station participating in data-communications via the data-communications services where the client station is associated with one client entity. The server is also configured to identify a context for each respective user-data-communication between the client station and the participating station, where the context data corresponds to at least one communications-specific characteristic associated with the user-data-communications, and to retrieve structured and unstructured data relating to previous data-communications provided by the data-communications server. The server is also configured to provide the integrated contact center to particular end users based on the identified context, and including data generated from the retrieved structured and unstructured data.

A computerized method for enhancing agent's efficiency in a contact center by orchestrating a multi-agent to multi-contact attribute-based routing while maintaining seamless contact interaction is provided herein. The computerized method includes receiving a request for service and in response may operate an orchestration engine. The orchestration engine derives contact related information from the communication channel to yield at least one contact attribute and according to a preconfigured set of rules and the agent's availability state, performs attribute-based routing of the request for service to one or more agents and designates a primary agent out of the one or more agents to handle the request for service, and when the orchestration engine can't find a human agent having a proficiency as defined in the computerized system, the orchestration engine is designates as a primary agent, a bot agent.

Methods and systems described in this disclosure receive a request for assistance from a device associated with a user, launch a conversational virtual assistant on the device, determine at least one potential subject of the request based on information associated with the user and a tab or webpage from which the conversational virtual assistant is launched, receive a verification of the subject of the request, create a contact menu with options for receiving the assistance, and receive a selection of one of the options.

Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.

Methods and systems described in this disclosure receive a request for assistance from a device associated with a user, launch a conversational virtual assistant on the device, determine at least one potential subject of the request based on information associated with the user and a tab or webpage from which the conversational virtual assistant is launched, receive a verification of the subject of the request, create a contact menu with options for receiving the assistance, and receive a selection of one of the options.

Apparatuses and methods concerning providing a data-communications virtual assistant are disclosed. As an example, one apparatus includes a data-communications server. The data-communications server is configured to process user-data-communications between a client station and another station participating in data-communications via the data-communications services where the client station is associated with one client entity. The server is also configured to identify a context for each respective user-data-communication between the client station and the participating station, where the context data corresponds to at least one communications-specific characteristic associated with the user-data-communications, and to retrieve structured and unstructured data relating to previous data-communications provided by the data-communications server. The server is also configured to provide the integrated contact center to particular end users based on the identified context, and including data generated from the retrieved structured and unstructured data.

Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.

A computerized method for enhancing agent's efficiency in a contact center by orchestrating a multi-agent to multi-contact attribute-based routing while maintaining seamless contact interaction is provided herein. The computerized method includes receiving a request for service and in response may operate an orchestration engine. The orchestration engine derives contact related information from the communication channel to yield at least one contact attribute and according to a preconfigured set of rules and the agent's availability state, performs attribute-based routing of the request for service to one or more agents and designates a primary agent out of the one or more agents to handle the request for service, and when the orchestration engine can't find a human agent having a proficiency as defined in the computerized system, the orchestration engine is designates as a primary agent, a bot agent.

A computerized method for enhancing agent's efficiency in a contact center by orchestrating a multi-agent to multi-contact attribute-based routing while maintaining seamless contact interaction is provided herein. The computerized method receives a request for service and in response may operate an orchestration engine. The orchestration engine derives contact related information from the communication channel to yield at least one contact attribute and according to a preconfigured set of rules and the agent's availability state, perform attribute-based routing of the request for service to one or more agents and designate a primary agent to handle the request for service and one or more agents as secondary agents. once an interaction between the one or more agents and the contact has commenced the computerized method sends information related to the handled request to the one or more designated secondary agents' and enable them to participate in the interaction via a display.