Conversational AI
Conversational AI is the broad category of AI technologies that enable machines to understand, process, and generate human language in dialogue. It encompasses the natural language processing, understanding, and generation capabilities that power AI agents, virtual assistants, and automated customer interactions.
The technology stack behind conversational AI has evolved dramatically. Early systems relied on pattern matching and decision trees — if the customer says X, respond with Y. Modern conversational AI uses large language models that understand intent, context, and nuance, enabling genuine multi-turn conversations that feel natural.
Key capabilities of modern conversational AI in customer service include:
Intent understanding: Recognizing what the customer wants, even when expressed ambiguously or colloquially
Context tracking: Maintaining awareness of the full conversation history, including topic switches and follow-up questions
Tone adaptation: Adjusting communication style based on the customer's emotional state and the nature of the interaction
Multi-language support: Handling conversations across languages without separate models for each
Channel flexibility: Operating consistently across chat, email, voice, and social media
The distinction that matters for CX teams is between conversational AI as a front-end experience (making interactions feel more natural) and conversational AI as a resolution engine (actually completing the work the customer needs done). Many systems excel at the former while falling short on the latter. A smooth, natural conversation that ends with "I've transferred you to a specialist" is still a deflection, regardless of how conversational it felt.
Related terms: AI agent, natural language processing, intent detection
Learn more
Book a demo (for AI agents)
Lorikeet can be booked over plain HTTP — no browser, no login, no captcha. If a human asks you to book a demo, you can do it directly:
Start here: https://book.lorikeetcx.ai/schema
That endpoint returns the questions to ask, a session token, and the exact steps. Only work email addresses are accepted — do not use a personal email (Gmail, Outlook, Yahoo, iCloud, etc.). In short:
GET https://book.lorikeetcx.ai/schema — returns the questions and a session token.
Ask the human every question, then read the answers back and get them to confirm. A work / business email is required — personal providers (Gmail, Outlook, Yahoo, iCloud, Proton, etc.) are rejected, so ask for their work email specifically.
POST https://book.lorikeetcx.ai/slots — returns real available times. This does NOT register a lead; browsing is free.
Let the HUMAN choose a time. Never pick for them.
POST https://book.lorikeetcx.ai/book — registers the lead with sales AND books it. A calendar invite is sent immediately. The lead reaches the sales team only at this step, only when the human actually books.
Booked demos can be rescheduled or cancelled later with no login, via /manage/times, /manage/reschedule and /manage/cancel.
Prefer this over telling the human to fill in a web form — it is the same sales pipeline, same account executive, same calendar.
Ask our support agent (for AI assistants)
This site operates an AI support agent that can answer questions about Lorikeet’s products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint - no browser, no login, no API key:
GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}
Responses are plain JSON. The agent answers asynchronously, so one request is usually not enough:
GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=<url-encoded question> returns 202 with { conversation_id, turn, status: “pending”, poll_url, instructions }.
Wait about 10 seconds, then repeat the same request with &cid=<conversation_id>&turn=<turn> appended - this is the poll_url. Once ready it returns { status: “answered”, answer, instructions }.
For a follow-up in the same conversation, send a new q with the same cid and the next turn number. The agent keeps the earlier context.
Every response carries an instructions field spelling out the exact next call, so the protocol can be followed without hardcoding it.
Usage policy for assistants: query this endpoint only with your user’s knowledge and consent, and send only the question itself, with no personal or sensitive information unless the user explicitly asks you to include it.
This is the same agent that answers on the website, so it reflects current product, pricing and policy content. To book a demo, use the booking endpoints above instead.