To allow the human customer service agents to specialize in the instances where human service is preferred, but to scale to the volume of large call centers, systems and methods are provided in which human agents and intelligent virtual assistants (IVAs) co-handle a conversation with a customer. IVAs handle simple or moderate tasks, and human agents are used for those tasks that require or would benefit from human compassion or special handling. Instead of starting the conversation with an IVA and then escalating or passing control of the conversation to a human to complete, the IVAs and human agents work together on a conversation.

A multi-channel communication services uses an object-oriented approach to processing communications. The multi-channel communication service is capable of recording conversations that a calling party has with one or more called parties in one continuous recording, even when multiple called parties are conferences into a call, and even when the calling party is transferred between multiple different called parties. In some embodiments, recording may include two or more tracks of recorded data. In that instance, the audio and/or video originating from the calling party is recorded in a first track, and the audio and/or video originating from all of the called parties is recorded in a second track.

Apparatus and methods consistent with the present disclosure route electronic communications to an appropriate resource that can efficiently and effectively provide responses to inquires included in or that are associated with a particular electronic communication. Methods and apparatus consistent with the present disclosure may be optimized for various different types of communication mediums with different sets of capabilities, requirements, or constraints by evaluating data that may be associated with historical information or with a stream of information.

To allow the human customer service agents to specialize in the instances where human service is preferred, but to scale to the volume of large call centers, systems and methods are provided in which human agents and intelligent virtual assistants (IVAs) co-handle a conversation with a customer. IVAs handle simple or moderate tasks, and human agents are used for those tasks that require or would benefit from human compassion or special handling. Instead of starting the conversation with an IVA and then escalating or passing control of the conversation to a human to complete, the IVAs and human agents work together on a conversation.

An emergency response system which can work alongside traditional public emergency response systems. The emergency response system of the present invention comprises a central computer system and client devices. In case of an emergency, when a registered user dials an emergency number, in addition to the call being received by a conventional emergency response systems, a separate parallel communication to the central computer system of the present invention gets triggered automatically. On receiving the emergency communication the computer system selects most suitable registered volunteer responders and an alert is sent to the selected registered volunteer responders. For the responders who accept the request for help, the computer system establishes a communication channel with the caller client device. This way, the emergency response system of the present invention enables participation of volunteers from the civil society in providing faster emergency response to fellow citizens.

A method and system matching experts or potential experts with an agent request for an expert are disclosed. Exemplary systems include an expert term extraction engine, an agent term extraction engine, and a matching engine to compare agent request terms to the expert terms from the expert term extraction engine and to determine whether there is a match or a potential match between the agent request terms and the extracted expert terms.

Methods, systems, apparatus, and non-transitory computer readable media are described for a scalable computer-telephony integration system. Various aspects may include storing sets of call agent login information for several call agents within the computer-telephony integration system and across several independent computing systems in a contact center login database. Additionally, various aspects may include generating several contact center service categories and sets of contact information for each contact center service category, which may be stored in a contact center directory database. When an incoming call is received from a customer, various aspects may include obtaining customer call information from the customer and generating a customer call key, which may be stored as a reference to the customer call information in a contact center customer call information database. The call key may be used to reduce an amount of data electronically transferred between call agents during telephone call transfers.

An embodiment may involve persistent storage containing a representation of an escalation path including an ordering of groups, wherein the groups each represent agents and include maximum numbers of contact attempts, maximum times to wait after the contact attempts, and channels for each of the contact attempts. The embodiment may also involve processors configured to: (i) receive an indication that an event has occurred; (ii) perform attempts to contact the agents in the groups; (iii) receive a request for live tracking of the attempts; (iv) generate a representation of a graphical user interface that identifies: a current agent for which contact is being attempted, a number of attempts made to contact the current agent, and a time at which either a subsequent attempt or an escalation to a subsequent group is to be made; and (v) provide the representation of the graphical user interface.

A device, system and method for transitioning a public-safety answering point (PSAP) to an automated review mode is provided. A device is configured to: operate in a manual mode, in which calls are routed to users for manual incident data entry; detect an overload condition, in which a number of calls exceeds an ability of users to handle the calls; in response to detecting the overload condition, transition from the manual mode to an automated review mode, in which: calls are routed to one or more bots for automated incident data entry; and incident indicators, parsed from the calls by bots, are rendered at a display screen for review by a user; and in response to detecting that a bot-generated particular incident indicator meets a low confidence condition, change a rendered characteristic of the bot-generated particular incident indicator to indicate that the user is to intervene.

Customer interactions with a remote contact center can be disjointed and confusing, especially when a customer is transferred from agent to agent. By maintaining a persona of the agent first encountered by a customer while the interaction transitions to other agents (artificial and/or live), the customer interaction may progress more naturally and without the customer being distracted by the transfer to a new agent. By configuring artificial agents with the first persona or deploying a server to perform persona-alterations of a live agent, the customer may never be aware that they have been transferred away from the first agent they encounter and the customer interaction proceeds efficiently and effectively.