The approval step is probably the part I find most interesting. Having an AI assistant suggest or prepare changes is useful, but keeping a human in control before those changes go live seems important when the agent is handling real customers.

I can also see the biggest time savings coming from routine tasks like checking conversation trends, updating knowledge, and reviewing performance rather than completely replacing the existing settings workflow.The difference between a useful feature and something teams genuinely rely on usually becomes clearer after months of real usage.

• This reply was modified 3 days, 2 hours ago by  Chiamaka.