conversational AI

definition

Conversational AI is software that holds a real, two-way conversation with a person and acts on what it hears. It understands free speech, works out intent, and either answers or takes an action. Modern systems replace two older approaches at once: the press-1 IVR menu and the scripted, keyword-matching chatbot.

The shift is from matching to understanding. An IVR forces the caller into your tree. A conversational agent lets the caller talk normally, then does the work.

how-conversations-work

A good conversation is more than transcription plus a reply. The agent has to take turns cleanly, handle interruptions, remember what was said, pull the right fact from your knowledge base, call a tool when it needs live data, and know when to hand off to a human. SpeechifyAI agents do all of this in one runtime, per-caller memory included, within a call and across calls.

surfaces

The same agent runs three places. On the phone, inbound and outbound, over a provisioned number or your own SIP trunk. In the browser, through an embeddable widget. In your app, through the SDK. One configuration, three surfaces, the same knowledge and workflows behind all of them.

workflows

The common shapes: customer support that resolves the call, a virtual receptionist that routes and books, sales qualification that scores and hands off, and outbound campaigns that remind and follow up. Each of the industry pages has a real sample call for its vertical, from appointment rescheduling in healthcare to first-notice-of-loss in insurance.

intelligence

Three things make the answers trustworthy. The knowledge base grounds every response in your own content. Per-caller memory keeps context so people do not repeat themselves. And deterministic workflows script the exact steps where a regulation or policy requires it, so the flexible parts stay conversational and the strict parts stay correct.

pricing-note

One all-in rate, $0.07/min on Pro, LLM and telephony included. Full detail on the pricing page.