I am implementing a chatbot channel integrated with a text prediction model in Prediction Studio. My requirement is:

When the user enters a free-text question and the best predicted topic does not reach the defined confidence threshold, we want to trigger the fallback response.

In that fallback message, we would like to either:

Reuse the default Pega fallback response configured in the channel, or Create a new topic/intent dedicated to handling fallback cases.

Additionally, under the fallback message, we want to dynamically display the top N topics returned by the model (with the highest confidence, even if below the threshold) as suggested options for the user to choose from.

Question: Is there a product-supported way in Pega to:

Invoke the default fallback when the confidence threshold is not met, and at the same time expose the top predicted topics (with their scores) as suggested quick replies?

Or do I need to implement a custom flow/topic to handle this scenario?

Environment: Prediction Studio NLP model + Chatbot Channel.