Consult the following use cases for information about how to achieve value with BMC Helix Chatbot.
Enables users to interact with BMC Helix Chatbot in natural language and request services in BMC Helix Digital Workplace Advanced Catalog or search for knowledge articles in a conversational interface.
|Self-service through BMC Helix Chatbot in BMC Helix Business Workflows|
Enables users to interact with BMC Helix Chatbot in natural language and create cases in BMC Helix Digital Workplace Advanced Catalog or search for knowledge articles in a conversational interface.
|Utilizing multiple chatbots for each line of business|
Enables administrators and application business analysts to create multiple specialized chatbots on a single BMC Helix Platform environment.
|Leveraging BMC Helix Chatbot UI in your application|
Enables an administrator to embed the BMC Helix Chatbot UI in any application that is not developed on BMC Helix Platform.
|Leveraging live chat capability|
Enables an administrator to provide live chat capability for users by configuring BMC Helix Chatbot.
|Leveraging application data to add context in a chat conversation|
Enables an administrator to eliminate the need for end users to answer obvious questions by providing the data to BMC Helix Chatbot. BMC Helix Chatbot uses this data in appropriate context during a chat conversation.
|Localizing chatbot conversations by using real-time translation||Enables an administrator to localize chatbot conversations by leveraging real-time translation providers such as Google Cloud Translation Service or Microsoft Translator Speech API.|
Enables users to interact with BMC Helix Chatbot and request services in their locale.
|Utilizing chat-enabled services from BMC Helix Digital Workplace Advanced in BMC Helix Chatbot|
Enables administrators to easily chat-enable and import services from BMC Helix Digital Workplace Catalog to chatbot.
|Leveraging machine learning metrics to improve chatbot predictability||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).|