How is conversational AI different from a chatbot or broadcast?
Broadcast messaging is one-way: the same message goes out to everyone and there's no real handling of replies. Classic chatbots are slightly better but rely on rigid decision trees — say the wrong thing and they break.
Conversational AI understands free-form language, reads intent and context, and responds naturally turn by turn. It can ask clarifying questions, qualify a lead, and decide when to hand off to a human — holding a genuine dialogue instead of matching keywords.
Where does conversational AI work across channels?
Modern conversational AI is channel-agnostic. The same intelligence can run a text exchange over SMS, RCS or WhatsApp, a threaded email conversation, or a spoken Voice AI call — keeping context as the conversation moves between them.
That cross-channel continuity matters: a lead might reply by text, then take a voice call, then confirm by email, and the AI should treat it as one conversation rather than three disconnected interactions.
How does TextConvo apply conversational AI?
TextConvo uses signal-based conversational AI to qualify, route and convert leads across SMS, RCS, WhatsApp, email and Voice AI — orchestrating every reply from one decision engine and syncing outcomes to your CRM.
The goal is conversations that feel human and move the lead forward, not generic automation — which is why decisioning is driven by live signals rather than scripts.