Agentic AI
Agentic AI refers to artificial intelligence systems that can autonomously plan, reason, and take actions to achieve goals — rather than simply responding to individual prompts. In customer service, agentic AI systems can decompose a complex customer request into steps, decide which actions to take (checking an account, issuing a refund, updating a record), execute those actions across multiple backend systems, and verify the outcome — all within a single interaction.
This is a meaningful departure from earlier generations of AI in customer service, which could classify intent or suggest responses but couldn't actually do anything. An agentic system doesn't just understand that a customer wants to reschedule a shipment — it checks inventory, finds available dates, updates the order, and confirms the change.
The distinction matters because it shifts AI from a deflection tool (intercepting simple queries before they reach humans) to a resolution tool (completing the actual work the customer needs done). Agentic systems can handle multi-step processes, maintain context across a conversation, and make decisions based on business rules.
That said, agentic AI in customer service raises important questions about guardrails, auditability, and control. An autonomous system taking real actions on customer accounts needs clear boundaries around what it can and cannot do, full logging of its reasoning, and the ability for human teams to configure and override its behavior. The more capable the system, the more critical the governance.
Related terms: AI agent, AI guardrails, AI audit trail, human-in-the-loop
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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.