Real-time agent assist
A system for real-time agent assist in a crisis scenario according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the system to receive an information request from a contact center client, evaluate the information request using natural language understanding to determine a knowledge fragment associated with the information request, analyze the knowledge fragment based on a crisis knowledge base of the system with respect to at least one of a confidence in the knowledge fragment, a veracity of the knowledge fragment, a frequency of the knowledge fragment, or a proximity of the knowledge fragment to the crisis scenario, and generate a response to the contact center client in response to analysis of the knowledge fragment based on the crisis knowledge base.
1. A system for real-time agent assist in a crisis scenario, the system comprising:
at least one processor; and
at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the system to:
receive an information request from a contact center client;
evaluate the information request using natural language understanding to determine a knowledge fragment associated with the information request;
analyze the knowledge fragment based on a crisis knowledge base of the system to determine (i) a confidence value indicative of a confidence that the knowledge fragment corresponds with the crisis scenario, (ii) a veracity value indicative of a veracity of the knowledge fragment, (iii) a frequency value indicative of a rate at which the knowledge fragment has been referenced over a period of time, and (iv) a proximity value indicative of a physical proximity of the contact center client to the crisis scenario; and
generate a response to the contact center client in response to analysis of the knowledge fragment based on the crisis knowledge base;
wherein the crisis knowledge base is created ad hoc in response to a determination of an existence of the crisis scenario.
2. The system of claim 1 , wherein to analyze the knowledge fragment based on the crisis knowledge base comprises to analyze the knowledge fragment using an artificial intelligence system.
3. The system of claim 1 , wherein to receive the information from the contact center client comprises to receive the information with a chatbot.
4. The system of claim 1 , further comprising a contact center system, wherein the contact center system comprises the at least one processor and the at least one memory.
5. A method for real-time agent assist in a crisis scenario, the method comprising:
receiving, by a contact center system, an information request from a contact center client;
evaluating, by the contact center system, the information request using natural language understanding to determine a knowledge fragment associated with the information request;
analyzing, by the contact center system, the knowledge fragment based on a crisis knowledge base of the contact center system to determine (i) a confidence value indicative of a confidence that the knowledge fragment corresponds with the crisis scenario, (ii) a veracity value indicative of a veracity of the knowledge fragment, (iii) a frequency value indicative of a rate at which the knowledge fragment has been referenced over a period of time, and (iv) a proximity value indicative of a physical proximity of the contact center client to the crisis scenario; and
generating, by the contact center system, a response to the contact center client in response to analyzing the knowledge fragment based on the crisis knowledge base;
wherein the crisis knowledge base is created ad hoc in response to determining an existence of the crisis scenario.
6. The method of claim 5 , wherein the crisis scenario involves at least one of a humanitarian crisis or an enterprise crisis.
7. The method of claim 5 , further comprising interrogating the contact center client regarding one or more characteristics of the knowledge fragment.
8. The method of claim 7 , further comprising updating the crisis knowledge base in response to interrogating the contact center client regarding the one or more characteristics of the knowledge fragment.
9. The method of claim 5 , wherein analyzing the knowledge fragment based on the crisis knowledge base comprises analyzing the knowledge fragment using an artificial intelligence system.
10. A method for real-time agent assist in a crisis scenario, the method comprising:
receiving, by a contact center system, an information request from a contact center client during a contact center interaction;
evaluating, by the contact center system, the information request using natural language understanding to determine a knowledge fragment associated with the information request;
analyzing, by the contact center system during the contact center interaction, the knowledge fragment based on a crisis knowledge base of the contact center system to determine (i) a confidence value indicative of a confidence that the knowledge fragment corresponds with the crisis scenario, (ii) a veracity value indicative of a veracity of the knowledge fragment, (iii) a frequency value indicative of a rate at which the knowledge fragment has been referenced over a period of time, and (iv) a proximity value indicative of a physical proximity of the contact center client to the crisis scenario; and
generating, by the contact center system, a response to the contact center client in response to analyzing the knowledge fragment based on the crisis knowledge base;
wherein the crisis knowledge base is created ad hoc in response to a determination of an existence of the crisis scenario.