The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

Computer-implemented detection of anomalous telephone calls, for example detection of interconnect bypass fraud, is disclosed. A telephone call associated with user devices is analyzed remote from the user devices. A first set of multiple features, for example Mel Frequency Cepstral Coefficients, is derived from a call audio stream. The first set is converted to an embedding vector, for example via a model based on a Universal Background Model comprising a Gaussian Mixture Model, which model is preferably configured based on a training plurality of first sets of multiple features derived form a corresponding training plurality of audio streams. Occurrence, or probability of occurrence, of an anomalous telephone call is determined based on the embedding vector, for example via a back-end classifier, such as a Gaussian Backend Model, which classifier is preferably configured based on labels associated with the training plurality of audio streams.

A device, method and system for changing communication infrastructure based on call security level is provided. A device determines a call security level of a call occurring at a first communication infrastructure; the first communication infrastructure associated with a first security level; the call security level determined from one or more of; a profile of a caller on the call; and audio on the call. In response to determining that the call security level and the first security level are misaligned, the device causes the call to change to a second communication infrastructure associated with a second security level aligned with the call security level.

A method of providing a recent call list of calls recently received or initiated by a telecommunications device where information on recent services which are services recently handled by or using the telecommunications device other than calls are incorporated as entries in a recent call list of the telecommunications device. Each entry can be formed by a data structure being composed of a plurality of data fields. Each data field can include a data value. An entry representing a recent service other than a call in the recent call list can include a service code identifying a recent service as a data value. A device, system, and apparatus can be configured to utilize or execute the method.

An embodiment of the system for publishing events of a telephony application to a client includes a call router that generates events from the telephony application and an event router that manages the publication of events generated by the call router and that manages the subscription to events by clients. The system can be used with a telephony application that interfaces with a telephony device and an application server

A server can receive a plurality of records at a databases such that each record is associated with a phone call and includes at least one request generated based on a transcript of the phone call. The server can generate a training dataset based on the plurality of records. The server can further train a binary classification model using the training dataset. Next, the server can receive a live transcript of a phone call in progress. The server can generate at least one live request based on the live transcript using a natural language processing module of the server. The server can provide the at least one live request to the binary classification model as input to generate a prediction. Lastly, the server can transmit the prediction to an entity receiving the phone call in progress. The prediction can cause a transfer of the call to a chatbot.

A system and method is provided for providing searchable customer call indexes. Consistent with disclosed embodiments, a system may receive call information associated with telephone conversations between callers and a vendor, the call information including an audio recording or transcript for each telephone conversation. The system may also identify one or more keywords from the audio recordings or transcripts and index the call information into one or more indexes based on the identified keywords. Finally, the system may determine search results responsive to a search query based on the indexing. In some embodiments, changes to customer service may be identified based on the search results.

An agent control device configured to execute a plurality of agents and including a processor, the processor being configured to store an interruptibility list that stipulates interruptibility of execution for each function of one given agent being executed or for an execution status of the one given agent; request execution of each of the agents at a prescribed trigger, or request execution of another given agent at a specific trigger, reference the interruptibility list in order to set permissibility information relating to executability of the other given agent in conjunction with execution of the one given agent; and perform management such that, in a case in which there is a request at the specific trigger for execution of the other given agent while the one given agent is executing, the other given agent is executed based on the request.

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for collecting call data, feeding call data to applications, and providing advanced call features.

A method for identifying a fraudulent phone number is provided. The method includes receiving a user report dataset indicating fraudulent activity corresponding to a phone number, and responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number. The method further includes tagging the record to identify the phone number as being associated with fraudulent activity.