Systems and methods for intelligently routing a member of an organization to a single point-of-contact within an optimized, secure network to address all the member's healthcare needs are described. The disclosed intelligent routing configurations transform and process, in real-time, vast amounts of member data to generate aggregated diagnoses and a member score specific to each member's household. The scores, among other things, are used to determine an identification of special needs and an appropriate advocate within the organization to route the member, and its account file containing real-time member and household level data.

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.

The disclosed embodiments illustrate method and system for establishing a communication channel between computing devices in a customer care environment. The method includes receiving a first input from a customer-computing device associated with the customer. The received first input is compared with one or more pre-stored datasets. Based on the comparison, a plurality of options corresponding to each of a plurality of levels of one or more workflows is rendered on a user interface displayed on a display screen of the customer-computing device. A second input is received for one of the rendered plurality of options. The second input is representative of at least a preference of the customer for a service associated with a workflow. Based on at least the received second input, a communication channel is established between the customer-computing device and an agent-computing device associated with the customer care agent.

Associating callers of a contact center with their social media identity may provide mutual benefits to the caller and contact center. For example, a business operating a contact center can receive information about their current and potential customers and customers can receive additional information, incentives, or other perks by allowing access to their social media profile. When a caller initially calls a contact center, they are prompted, and possibly incentivized, to check into a virtual venue. The caller may then be known, via an associated social media identity, to the contact center. The virtual venue may then receive access to comments and other posts, such as endorsements, provided by connects to the social media identity and process the call in accordance with the sentiment or utilize the social media network for post-call follow-up.

Systems and methods are disclosed for generating a dynamic customized script to facilitate communication between a user and a service provider. The method includes receiving, via an interactive voice response (IVR) system, a request from a mobile device associated with at least one user. The contextual information associated with at least one user is processed, in real-time, based, at least in part, on the request. A dynamic customized script specific to the request is generated, in real-time, based, at least in part, on the processing of the contextual information. The request is routed, via the IVR system, to an agent from a pool of agents of the service provider. A presentation of the dynamic customized script is generated in a user interface of a device associated with the agent, wherein the dynamic customized script is step-by-step guidance to the agent for handling the request of at least one user.

Arrangements for automatically detecting bi-directional artificial intelligence (AI) communications and automatically negotiating (i.e., switching to alternative) direct digital communications.

In an example embodiment, a solution is provided that introduces a second level IVR component controlled by a call control service that also controls a first IVR component. Controlling the IVR components using this call control service (which also interfaces with client software operated by a human agent) allows for data collected during the IVR sessions or during a live session with the human agent to be shared among the components. This also acts to eliminate the need for a traditional “transfer” of a call from a human agent to an IVR or vice versa, which would often be accompanied by audible clicks or beeps discernable to the caller.

Provided are a call deflection and response system and method, wherein a voice call from a caller device is received, a skill group is determined to resolve an issue associated with the call, and a text response to the issue is sent to the caller device, providing a context-based personalized response. A caller leaves a detailed voicemail explaining an issue needing resolution, which is electronically transcribed and then run through a classifier to determine concepts and intents associated with the call. Based on the concepts and intents, responsibility for the call and associated files are transferred to a particular skill group on a chat platform for resolution. A chat entity from the appropriate skill group determines and provides an issue response via text message to the caller device, e.g., to the caller's mobile phone.

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

In some implementations, a cloud computing system that executes a function may receive an indication of an electronic communication to occur between a customer and an agent. The cloud computing system that executes the function may determine a classification of the electronic communication based on a first set of rules stored in a database of the cloud computing system and attributes associated with the electronic communication. The cloud computing system that executes the function may select, based on the classification of the electronic communication, a target queue from a plurality of potential queues to be associated with the electronic communication based on a second set of rules stored in the database. The cloud computing system that executes the function may select the agent from a plurality of potential agents for the electronic communication based on an association between the agent and the target queue.