Artificial intelligence systems and methods providing enhanced prediction of information relevant to a conversation are disclosed. The method includes monitoring a conversation between a requestor and a provider. The method also includes determining metadata and text of the conversation. The method further includes determining a regional status of the requestor based on the metadata and text of the conversation, regional information, and regional classification rules. Additionally, the method includes determining a local status of the requestor based on the text of the conversation, the regional status, local information, and local classification rules. Moreover, the method includes determining suggestions based on the regional status, the local status, transactional status information, and transactional classification rules. Further, the method includes providing the suggestions to a user-interface device of the provider.

Incoming calls are received from audio capable devices. A call processing server receives an incoming call from an audio-capable device to a destination number, and detects availability for an ancillary source device linked to the audio-capable device. A set of data is provided to the ancillary source device. The set of data specifies graphical menu options for functions supported by the call processing server. The ancillary source device provides an indication of a selection of one of the graphical menu options. In response to the indication, a call transfer for the incoming call is implemented.

A system and method for producing audio messages for use in a contact center. A customer may specify message content, and provide a voice specification, which may identify a preferred voice artist and other aspects of the audio message including the language, accent and tone of the message. The service may produce the recording and provide it to the customer.

A system and method for producing audio messages for use in a contact center. A customer may specify message content, and provide a voice specification, which may identify a preferred voice artist and other aspects of the audio message including the language, accent and tone of the message. The service may produce the recording and provide it to the customer.

Incoming calls are received from audio capable devices. A call processing server receives an incoming call from an audio-capable device to a destination number, and detects availability for an ancillary source device linked to the audio-capable device. A set of data is provided to the ancillary source device. The set of data specifies graphical menu options for functions supported by the call processing server. The ancillary source device provides an indication of a selection of one of the graphical menu options. In response to the indication, a call transfer for the incoming call is implemented.

Incoming calls are received from audio capable devices. A call processing server receives an incoming call from an audio-capable device to a destination number, and detects availability for an ancillary source device linked to the audio-capable device. A set of data is provided to the ancillary source device. The set of data specifies graphical menu options for functions supported by the call processing server. The ancillary source device provides an indication of a selection of one of the graphical menu options. In response to the indication, a call transfer for the incoming call is implemented.

The invention provides a method, system, and a software program product for assisting a user and/or managing tasks of the user, by a mobile secretary cloud application configured to operate in a mobile client device and cloud server network. The mobile secretary cloud application reads data from another software application and operates at least one of another application and a third application based on the read data. Further, Artificial intelligence is utilized by the mobile secretary cloud application for operating another application and the third application.

The invention provides a method, system, and a software program product for assisting a user and/or managing tasks of the user, by a mobile secretary cloud application configured to operate in a mobile client device and cloud server network. The mobile secretary cloud application reads data from another software application and operates at least one of another application and a third application based on the read data. Further, Artificial intelligence is utilized by the mobile secretary cloud application for operating another application and the third application.

The present disclosure provides method and apparatus for responding in a voice conversation by an electronic conversational agent. A voice input may be received in an audio upstream. In response to the voice input, a primary response and at least one supplementary response may be generated. A primary voice output may be generated based on the primary response. At least one supplementary voice output may be generated based on the at least one supplementary response. The primary voice output and the at least one supplementary voice output may be provided in an audio downstream, wherein the at least one supplementary voice output is provided during a time period adjacent to the primary voice output in the audio downstream.

Receiving a telephone call to an auto-attendant, artificial intelligence, or person takes place. While this phone call is being conducted, a speech to text transcription is created and sent in real-time to another person at another network node. This person can read the transcript and interact with the phone call by sending his or her own commands, text, or speech to be made part of the phone call.