A device that is configured to assign users to an issue cluster based on issue types for the users. The device is further configured to identify available agents and to assign each available agent to one or more knowledge area clusters based on knowledge scores. A knowledge score indicates an expertise level for an agent in a knowledge area. The device is further configured to identify an issue cluster that is associated with an issue type and to identify a user from the issue cluster. The device is further configured to identify a knowledge area cluster that is associated with the issue type and to identify an agent from the knowledge area cluster. The device is further configured to establish a network connection between a user device associated with the user and a user device associated with the agent.

Methods, systems, and apparatus are provided for operating a contact center operation control assistant system. An oral request from a user is captured using a virtual assistant executing on a smart device. An intent of the oral request is identified using a natural language understanding (NLU) platform. A request to a contact center platform is generated by invoking an application programming interface (API) based on the identified intent. An API response is received from the contact center platform in response to the API request. The API response is packaged into a sentence and provided to the user of the smart device using the virtual assistant.

Apparatus for the transfer of sensitive information between two parties facilitated by an intermediary, the apparatus adapted to: receive from the first party voice signals and data signals; determine a parameter relating to an estimate of the time required for sensitive information to be determined from the data signals received from the first party; transmit to the intermediary the received voice signals and the parameter; determine sensitive information from the received data signals; and transmit the sensitive information to the second party. A corresponding method is also provided.

The present invention is a system and method of routing incoming communications to a CSR and providing guidance to the CSR based on the incoming communication using feedback information such as sentiment feedback, survey feedback, and feedback from actions taken by CSRs based on skill level. A CEC system receives an incoming communication, analyzes the communication and creates metadata based off of the analysis. The metadata is used by the RAE routing module to route the communication to an appropriate party. The metadata is also used by the GAE guidance module to determine the guidance to provide to the CSR. The CSR then performs an action based on the guidance. The CEC system continues to monitor the interaction until the interaction is completed. The communication metadata, the communication, the guidance, and the CSRs action are all provided to a RAS rules analysis module wherein the RAS analyzes the data and automatedly updates the rules (RAR and GAR) according to the analysis.

The present invention relates to communications methods and apparatus for determining whether a received call originated from an artificial intelligence system and the call handling procedures to be used on the received call based on whether or not the call was determined to have been originated from an artificial intelligence system. An exemplary method embodiment includes the steps of: receiving a first call; determining whether said first call originated from an artificial intelligence system; and when said first call is determined to have originated from an artificial intelligence system performing one or more artificial intelligence call handling operations.

A company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent. In some instances, a first communications session may be started between a first user and a second user. During the first communications session, one or more communications may be processed to select an intent of the first user and a value of an information item communicated by the first user. An automated workflow may be selected to continue assisting the first user, and the first user may be transferred to a second communications session with the automated workflow. The automated workflow may be initialized with the value of the information item that was provided during the first communications session so that the first user does not need to repeat information.

Certain aspects of the disclosure are directed to customization of a contact center, using a data communications server. According to a specific example, the data communications server includes circuitry configured and arranged to provide data communications services to a plurality of remotely-situated client entities. The data communications server further provides a graphical user interface (GUI) for each respective remotely-situated client entity, the GUI including a display of communications-based campaigns, interactive voice response (IVR) tools, and data analytics. Moreover, the data communications server provides a display on the GUI including selectable components to create for the associated remotely-situated client entity, a customization for handling incoming data communications by the data communications server. Accordingly, the data communications server may handle communications for the associated remotely-situated client entity according to the provided customization.

Methods, computer program products, and systems are presented. The methods, computer program products, and systems can include, for instance: determining, in performance of an interactive voice response (IVR) session, prompting data for presenting to a user, and storing text based data defining the prompting data into a data repository; presenting the prompting data to the user; receiving return voice string data from the user in response to the prompting data; generating a plurality of candidate text strings associated to the return voice string of the user; examining the text based data defining the prompting data; augmenting the plurality of candidate text strings in dependence on a result of the examining to provide a plurality of augmented candidate text strings associated to the return voice string data; and evaluating respective ones of the plurality of augmented candidate text strings associated to the return voice string data; and selecting one of the augmented candidate text strings as a returned transcription associated to the return voice string data.

A system described herein may provide a technique for a multi-modal interaction experience with a User Equipment (“UE”) via multiple concurrent presentation modes. Such multiple modes may include a voice call with an interactive voice response (“IVR”) system, as well as the simultaneous presentation of information and/or selectable options at a UE associated engaged in the voice call with the IVR system. The information may be presented via a graphical user interface at the UE that is engaged in the call with the IVR system. In this manner, the UE may provide a multi-modal experience to a user, in which the user can simultaneously interact with the IVR system via the call, and can also receive or provide further interactions related to call via the GUI.

Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.