Ox AI meeting companion

The challenge was trying to visualize a response by a customer service agent tending to customers who need quick responses while speaking with them live online. How can you create a non-intrusive way of learning how to best respond while still staying engaged with your customer? In answering this question I learned how exactly a customer service agent reacts to a customer in a number of different situations. A common factor is that there is a lot of information said back and forth that is worth capturing, with keywords being the focus. There are also times when you don't know exactly how to respond but there is a certain way your company may want you to respond so how can that be readily available for an agent to see, select, and share as quickly as possible? And finally, how do we show positive progress of the events that are happening? As a result it took multiple iterations and testing building and tearing down in order to deliver a solution that can start as our jumping point, especially being a startup.