Naoma AI Demo Agent V2 - Turns website traffic into booked, qualified meetings
Your book-a-demo button converts 1-2% of visitors. The rest leave. Naoma replaces the form with an AI account executive that runs the demo right then: it walks the prospect through your live product, answers questions, qualifies them and books the meeting.
It remembers returning visitors, picks up where they left off, and writes every session back to your CRM. 50,000+ demos run for B2B SaaS teams. Now self-serve: upload your product and knowledge base test the agent today.
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MyWebAR.com
Naoma AI Demo Agent
MyWebAR.com
@dmitry_zakharov_ai thanks, will check it out
Lovely product. Congrats on the launch @dmitry_zakharov_ai 😄
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!
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.
Dial
@dzmitry_ivanouski that's the honest answer I'd expect - "discover during the conversation" is more flexible than a hard rule, but it also means the routing decision quality is only as good as whatever the agent picks up on mid-conversation. is there a fallback if it misjudges and routes someone too early or too late, or does that only get caught after the fact in review?
Naoma AI Demo Agent
@galdayan sure, we use enrichment + the discovery the agent done for postprocessing the session and making the verdict
Dial
@dzmitry_ivanouski got it, so enrichment plus discovery feed the same verdict rather than one overriding the other after the fact. that answers the mechanism - the part I was actually probing was whether a misjudged verdict ever gets caught before a human looks at the transcript, or if review is the only backstop. either way, appreciate you walking through it.