Servicenow, Inc.

Gaurav Goyal

Ashita Narayan

Kakarla V V D L Narayana

Wenhua Li

Scott Michael Rhodes

Shipra Gupta

Yong Liang

Vani Banaji

Chaitanya Saragadam

Balaji Cuttackam

Adam Wesley Moguel

Chinmayee Nagaraju

Avishek Dalal

Daniel Li-Shuan Wu

Lalit Kumar

Vinay Mohan

Ravi Ambati

Kristopfer P Krueger

Mohammed Furqan

Pradeep Kumar Gouribhatla

Vivien Wai Mun Leong

Rahul Bharadwaj

Philip Casini

Nidhi Srinivas

Prashanti Nilayam

Yuko Araki

A method includes determining a definition of a capability, where the definition indicates an input, an output, and an operation performed by the capability on the input to generate the output. The method also includes determining models configured to provide the capability, providing the definition of the capability to an application builder configured to provide a model-independent representation of the capability, and determining a mapping that indicates, for each respective model of the models, one or more attribute values that cause the respective model to be executed to provide at runtime the capability to a software application defined using the application builder, where the mapping is unmodifiable by the application builder. The method further includes, in response to reception from the software application of a request to provide the capability, providing the capability to the software application in accordance with the mapping.

Unified framework for configuration and deployment of platform intelligence

A chat message is received from a user to a primary virtual agent service. A secondary virtual agent service to handle the chat message is automatically evaluated and selected. The secondary virtual agent service is selected from a plurality of candidate secondary virtual agent services that includes at least one virtual agent service provided by a third-party entity external to an entity providing the primary virtual agent service. The chat message is transformed from a first format of the primary virtual agent service to a second format of the selected secondary virtual agent service. The chat message is forwarded in the second format to the selected secondary virtual agent service.

Integrated secondary virtual agents

An indication from a live agent in a communication session with a user to invoke a specified automated agent interactive conversation flow is received. The communication session with the user is transitioned from the live agent to the specified automated agent interactive conversation flow. During the specified automated agent interactive conversation flow, the live agent retains control over the communication session. An indication of an interaction of the user with the specified automated agent interactive conversation flow is provided. The communication session with the user is returned back to the live agent.

Invokable automated agent for interactive workflows

Persistent storage contains a state machine for a request routing process and a plurality of requests related to the request routing process. One or more processors are configured to apply the state machine through operations including: obtaining a request from the plurality of requests; providing, to a criticality detection application and to an intent detection application, a representation of the request, wherein the criticality detection application is configured to detect a criticality of the request, and wherein the intent detection application is configured to determine a semantic intent of the request; receiving, from the criticality detection application and the intent detection application, respective indications of a detected criticality of the request and a detected intent of the request; determining whether to route the request to a channel that is one of a live agent, a virtual agent, or a search-based application; and routing the request to the channel as determined.

Hybrid request routing system

A system includes persistent storage containing predefined user interface (UI) component templates and a representation of a web page that includes a runtime UI component configured to reserve an empty portion of the web page to be populated by UI components generated at runtime. The system also includes a processor configured to perform operations, including receiving, from a client device, a request for the web page, and determining, based on the request, that the web page includes the runtime UI component. The operations also include determining runtime parameter values associated with the request, and determining, based on the runtime parameter values and the predefined UI component templates, context-specific UI components to populate the empty portion of the web page. The operations further include generating a context-specific representation of the web page based on the context-specific UI components, and transmitting, to the client device, the context-specific representation.

Low-code / no-code layer for interactive application development

Analytic data about digital chat conversations taking place within a digital workflow environment is tracked and stored. The analytic data tracks conversation progression states between individual node elements of at least one digital chat conversation flow design. A specification of an interested event for the analytic data is received. Data associated with the interested event is extracted and provided for analysis.

Digital chat conversation and virtual agent analytics

An indication of an actionable notification to be sent to a user is received. A communication channel among a plurality of communication channel options for the user is selected based at least in part on a previous communication history with the user. The actionable notification is sent to the user via the selected communication channel at a time selected based on an activity status of the user.

Sending actionable notifications to users

A chat message from a user to a primary chat bot service is received. A secondary chat bot service is automatically evaluated and selected to handle the chat message, wherein the secondary chat bot service is selected from a plurality of candidate secondary chat bot services that includes at least one chat bot service provided by a third-party entity external to an entity providing the primary chat bot service. The chat message is forwarded to the selected secondary chat bot service.

Primary chat bot service and secondary chat bot service integration

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San Jose, CA, United States of America

Gaurav Goyal