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A financial institution is implementing Dialogflow to develop a chatbot for their mobile application. After reviewing chat logs, customer requests have been categorized by intent. It was found that 70% of these requests are straightforward, requiring 10 or fewer intents, while the remaining 30% involve more complex queries. The institution is seeking advice on which intents to prioritize for automation. What would be the most effective strategy?
A
Prioritize automating the more complex requests first, as these consume a significant amount of the agents' time.
B
Focus on automating a mix of both simple and complex intents to ensure comprehensive coverage.
C
Automate intents that include unique or less common terms to prevent confusion in the chatbot's understanding.
D
Begin with automating the 10 intents that account for 70% of the requests, enabling live agents to dedicate more time to complex queries.