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AI & automation (AIaaS)

Conversational UI — Conversational User Interface

What is Conversational UI?

Conversational UI (CUI) is an interaction design pattern where a person completes a task by typing or speaking in natural language — through chat or voice — instead of navigating fixed menus, forms, or button taps. The system parses free-form input, holds context across turns, and replies in kind, so a single back-and-forth thread replaces what a traditional graphical interface would spread across multiple screens or an IVR menu tree. Conversational AI is the technology that powers a conversational UI.

More detail

Conversational UI is the interface layer a person sees and interacts with; conversational AI is the underlying technology (NLP, dialog management, an LLM) that understands the input and generates the response — a chat widget or phone call is the CUI, the AI agent behind it is the conversational AI.

Because there's no fixed menu to browse, a well-designed conversational UI still needs guardrails: a clear fallback when the system doesn't understand, an easy path to reach a human, and visible confirmation before an action like a payment or booking actually executes.

On Orbit, conversational UI spans phone calls, SMS, WhatsApp, and web chat — the same AI agent framework and dialog context carry across channels, so a conversation can start in chat and hand off to voice without the person repeating themselves.

Frequently asked

What's the difference between conversational UI and conversational AI?
Conversational UI is the interface a person types or speaks into — a chat window or a phone call. Conversational AI is the underlying technology that parses natural language and generates a response. The UI is what the user sees; the AI is what powers it.
Is a chatbot with a fixed decision-tree menu a conversational UI?
Not really — a menu-driven bot still constrains input to a small set of buttons or keywords. A conversational UI specifically accepts open-ended, free-form language and lets the underlying system interpret intent, rather than requiring the person to pick from a preset list.

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