Why teams switch from Decagon to Lorikeet: Teams choose Lorikeet when they want an agent that can take real actions across systems, including multi-agent architecture that can coordinate with third parties. Lorikeet deploys agent Product Managers and engineering support to help you ramp fast and specializes in complex and compliant industries - fintech, healthtech and more.
The Lorikeet difference:
→ Action-taking, not just FAQ - including agentic coordination between third parties
→ Agent Concierge and customer memory across all channels (voice, SMS, chat, email)
→ Ops-friendly configurability - more knobs and dials available out of the box
→ Pay only per successful resolution - not per interaction
Trusted by CX leaders in fintech, health tech and complex industries
What is
?
Decagon is an AI customer service platform that automates support interactions using conversational AI. Founded in 2023, it's designed for tech-forward companies looking to deflect support volume with an AI agent that integrates with their knowledge base and tools. Decagon focuses on chat-based automation for mid-market companies.
What is Lorikeet?
Lorikeet is an agentic AI platform built for CX teams in complex, regulated industries. Unlike deflection-first tools, Lorikeet agents take real action processing refunds, updating customer records, booking appointments, and closing tickets end-to-end across voice, chat, email, and SMS. Teams get dedicated PM and engineering support, and pay only for resolutions they define as successful.
Lorikeet
vs
Decagon
See how Lorikeet stacks up
10 questions to evaluate an agentic AI platform for CX
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.