If you followed Naoma a year ago, you knew us as a sales conversation analytics tool. We connected to your CRM, analyzed rep calls, and surfaced patterns from top performers so the rest of the team could learn from them.
It worked. Teams liked the insights.
But we kept noticing the same thing: the real bottleneck wasn't after the demo. It was getting to the demo in the first place and what happened in those first few minutes before a rep ever joined.
Qualified buyers were waiting 3 6 days for a demo slot. Many dropped off. The ones who showed up often hadn't been properly qualified. Sales reps were spending half their week running intro demos for people who were never a fit.
Dial
saw further down that it routes qualified leads to a human rep after qualification, which answers the question I was about to ask. curious how "qualified enough to route" gets decided though - is that a hard rule set per customer, or does the agent itself judge when a conversation is getting into territory it shouldn't handle alone?
Naoma AI Demo Agent
@galdayan "qualified enough to route" verdict is based on customers qualification rules.
Naoma AI Demo Agent
@galdayan thanks for the support and for the question.
We agree with the customer what does qualified mean to them specifically, and agent will try to discover that during the conversation.
This is exactly where AI should be working! Turning passive interest into live conversations before the prospect even thinks about leaving. Congrats on launch 🚀
Naoma AI Demo Agent
Naoma AI Demo Agent
@dmitry_matveev thank you for the kind comment!
Naoma AI Demo Agent
@dmitry_matveev thanks! You got the idea 100% right!