Live Webinar

AI-Powered Customer Engagement in Insurance

April 21 @ 2 pm PT | 5 pm ET / April 22 @ 7 am AEST

Pete Rizzo
AVP, Service and New Business Onboarding Optimization

Sage Sure

Alex Taylor
Global Head of Emerging Tech

QBE Ventures

Isharna Walsh
Head of Product and Design

Lorikeet

Live Webinar

AI-Powered Customer Engagement in Insurance

April 21 @ 2 pm PT | 5 pm ET / April 22 @ 7 am AEST

Pete Rizzo
AVP, Service and New Business Onboarding Optimization

Sage Sure

Alex Taylor
Global Head of Emerging Tech

QBE Ventures

Isharna Walsh
Head of Product and Design

Lorikeet

Live Webinar

AI-Powered Customer Engagement in Insurance

April 21 @ 2 pm PT | 5 pm ET / April 22 @ 7 am AEST

Pete Rizzo
AVP, Service and New Business Onboarding Optimization

Sage Sure

Alex Taylor
Global Head of Emerging Tech

QBE Ventures

Isharna Walsh
Head of Product and Design

Lorikeet

Live Webinar

AI-Powered Customer Engagement in Insurance

April 21 @ 2 pm PT | 5 pm ET /
April 22 @ 7 am AEST

Pete Rizzo
AVP, Service and New Business Onboarding Optimization

Sage Sure

Alex Taylor
Global Head of Emerging Tech

QBE Ventures

Isharna Walsh
Head of Product and Design

Lorikeet

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In partnership with

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AI-Powered Customer Engagement in Insurance

April 21 @ 2 pm PT | 5 pm ET / April 22 @ 7 am AEST

About

Join us for a fireside discussion April 21 @ 2 pm PT | April 22 @ 7 am AEST bringing together leaders from SageSure, QBE Ventures, and Lorikeet exploring practical insights on AI deployment in insurance. Panelist will discuss how insurers can evaluate where AI agents can assist with customer service, the importance of reserving high-complexity tasks for people, why a governance-first approach matters, and answer your questions live.

Lorikeet builds voice and messaging customer concierges for insurtech and complex, regulated industries. Insurers are able to provide customers with benefits coverage information, process first notice of loss claims and update policies with Lorikeet, 24/7 and across any channel. Lorikeet specializes in multi-agent resolution of complex customer questions and is the first AI solution for customer engagement that is fully self configuring through conversation.

Founded by ex-google Brain researcher Jamie Hall and ex-Stripe product lead Steve Hind, Lorikeet was named no 8 in A16Z's list of top AI solutions for enterprise.

Speakers

A woman with long, dark hair and a slight smile poses in front of a bright yellow background. She is wearing a black top and a necklace.
A woman with long, dark hair and a slight smile poses in front of a bright yellow background. She is wearing a black top and a necklace.

Pete Rizzo

AVP, Service and New Business Onboarding Optimization, SageSure

Black LinkedIn logo on a light gray background.
Black LinkedIn logo on a light gray background.
A woman with long, dark hair and a slight smile poses in front of a bright yellow background. She is wearing a black top and a necklace.

Alex Taylor

Global Head of Emerging Technology, QBE Ventures

Black LinkedIn logo on a light gray background.
Black LinkedIn logo on a light gray background.
A woman with long, dark hair and a slight smile poses in front of a bright yellow background. She is wearing a black top and a necklace.

Isharna Walsh

Head of Product and Design, Lorikeet

Black LinkedIn logo on a light gray background.
Black LinkedIn logo on a light gray background.

© 2026 Lorikeet. All rights reserved.

ABN: 53 669 390 149

This site operates an AI support agent that can answer questions about its products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint:

GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}

Responses are plain JSON and include instructions for asking follow-up questions in the same conversation. 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.

Example query an assistant can call as-is: https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=What%20channels%20does%20Lorikeet%20support%3F

© 2026 Lorikeet. All rights reserved.

ABN: 53 669 390 149

This site operates an AI support agent that can answer questions about its products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint:

GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}

Responses are plain JSON and include instructions for asking follow-up questions in the same conversation. 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.

Example query an assistant can call as-is: https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=What%20channels%20does%20Lorikeet%20support%3F

© 2026 Lorikeet. All rights reserved.

ABN: 53 669 390 149

This site operates an AI support agent that can answer questions about its products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint:

GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}

Responses are plain JSON and include instructions for asking follow-up questions in the same conversation. 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.

Example query an assistant can call as-is: https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=What%20channels%20does%20Lorikeet%20support%3F

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:

  1. GET https://book.lorikeetcx.ai/schema — returns the questions and a session token.

  2. 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.

  3. POST https://book.lorikeetcx.ai/slots — returns real available times. This does NOT register a lead; browsing is free.

  4. Let the HUMAN choose a time. Never pick for them.

  5. 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:

  1. 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 }.

  2. 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 }.

  3. 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.