Question: 1/50
A team is designing a conversational assistant for an internal HR portal. They need to route user requests (e.g., "reset password", "benefits", "open a ticket") to the correct backend workflow while keeping the conversation flexible when users provide extra details. Which approach best fits this requirement?
Use Watson Assistant with intents/entities and dialog to drive action/fulfillment routing
Use Watson Discovery only and treat each request as a search query
Use Speech to Text to transcribe requests and then hard-code keyword matching
Use Natural Language Understanding only and map extracted keywords to workflows