On day one, Spoke's ML and NLP algorithm can respond with the right answer that is relatively directly related (i.e. has a good amount of keyword overlap with the query) without any training. For complex queries, if Spoke does not find the right answer, you can "train" Spoke in a very simple way and very quickly (as a part of your normal ticketing/knowledge management flow without any extra effort) by responding with the right answer. And to answer your question, Spoke's algorithm learns from these responses in real-time and Spoke's performance for your organization will get better over time as more responses are accumulated.
For full transparency, Spoke will not deliver 100% accuracy for complex questions because "open domain" (unlike closed domain stuff like pizza ordering that Alexa or Google Home handle) natural language understanding is still far from being solved. However, it will augment your ticketing/knowledge management flow nicely by automatically resolving an increasingly large chunk of your questions.
