Why teams compare Sierra and Lorikeet: both run AI agents across voice, chat and email, both serve financial services and healthcare, and both charge on outcomes rather than seats. The difference is scale and how you buy. Sierra is built for Fortune 1000 companies and agrees its rates with each customer. Lorikeet publishes its plan fees and per-resolution rates, with a Start plan for teams under 5,000 tickets a month.
The Lorikeet difference:
Published pricing: plans from $2,100 a month, billed annually, and per-resolution rates from $0.90 on Scale
Escalations and unresolved tickets are not charged, and you do not pay for a ticket you are unhappy with
Works inside Intercom, Zendesk, Salesforce, Front, HubSpot and Help Scout, so there is nothing to migrate
SOC 2 Type II and ISO 27001:2022, plus HIPAA with signed BAAs and GDPR
Trusted by CX leaders in fintech, health tech and complex industries
What is
?
Sierra is a San Francisco-founded conversational AI platform co-founded by Bret Taylor, former Co-CEO of Salesforce, and Clay Bavor, who previously led Google Labs. It launched in February 2024, builds a single agent across voice, chat, SMS, WhatsApp, email and ChatGPT, and pioneered outcome-based pricing for AI agents. Sierra says 40% of the Fortune 50 partner with it, and it reported passing $100M in ARR in November 2025.
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
Sierra
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.