Use cases
Consult the following use cases for information about how to achieve value with BMC Helix Virtual Agent.
Use case | Business value | Products used |
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Enables users to interact with BMC Helix Virtual Agent in natural language and request services in BMC Helix Digital Workplace Advanced Catalog or search for knowledge articles in a conversational interface. |
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Enables users to interact with BMC Helix Virtual Agent in natural language and create cases in BMC Helix Digital Workplace Advanced Catalog or search for knowledge articles in a conversational interface. |
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Enables administrators and application business analysts to create multiple specialized chatbots on a single BMC Helix Innovation Suite environment. |
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Enables an administrator to embed the BMC Helix Virtual Agent UI in any application that is not developed on BMC Helix Innovation Suite. |
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Enables an administrator to provide live chat capability for users by configuring BMC Helix Virtual Agent. |
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Enables an administrator to eliminate the need for end users to answer obvious questions by providing the data to BMC Helix Virtual Agent. BMC Helix Virtual Agent uses this data in appropriate context during a chat conversation. |
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Enables administrators to easily chat-enable and import services from BMC Helix Digital Workplace Catalog to chatbot. |
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Enables an administrator to localize chatbot conversations by leveraging real-time translation providers such as Google Cloud Translation Service or Microsoft Translator Speech API. |
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Enables users to interact with BMC Helix Virtual Agent and request services in their locale. |
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Enabled end users to view and dismiss in-app notifications or broadcasts from chatbot without navigating to BMC Helix Digital Workplace Advanced. |
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Enable administrators and application business analysts to use Automation Anywhere Robotic Process Automation (RPA) to automate any task or a manual flow within your application or business process by using the Automation Anywhere connector. |
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Enables administrators to provide chatbot capabilities for an application so that the chatbot correctly responds to user queries, understands the chat context, and performs tasks on behalf of the end users. You must train IBM Watson Assistant to work with your data by creating intents, entities, and dialog in IBM Watson Assistant (that serve as training data for chatbot). |
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