# Lorikeet

> Lorikeet is an AI customer support platform for complex and regulated businesses. AI agents that work across voice, chat, and email to resolve customer issues autonomously.

## 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.

## Main Pages

- [Homepage](https://www.lorikeetcx.ai): AI customer support platform overview
- [Pricing](https://www.lorikeetcx.ai/pricing): Lorikeet pricing information
- [Product Overview](https://www.lorikeetcx.ai/product): Lorikeet platform for AI-powered customer support
- [Product - Coach](https://www.lorikeetcx.ai/product/coach): AI quality assurance that reviews 100% of interactions
- [Product - Voice](https://www.lorikeetcx.ai/product/voice): AI voice agents for phone-based customer support
- [Product - AI Agents](https://www.lorikeetcx.ai/product/ai-agents): AI agents for customer service that resolve end-to-end, not deflect
- [Product - Trust & Security](https://www.lorikeetcx.ai/product/trust): SOC 2 Type II, ISO 27001:2022, HIPAA and GDPR; never trains on customer data
- [Product - Quality Assurance](https://www.lorikeetcx.ai/product/quality-assurance): Coach QA reviews 100% of tickets with a refund-backed Quality Guarantee
- [Product - Simulations](https://www.lorikeetcx.ai/product/simulations): Test AI agents pre-launch with simulations from real tickets and adversarial scenarios
- [Product - Guardrails](https://www.lorikeetcx.ai/product/guardrails): Two-tier guardrails with deterministic boundaries; designed for blast radius, not immunity claims
- [Product - How It Works](https://www.lorikeetcx.ai/product/how-it-works): How the Lorikeet AI concierge connects, trains, tests and improves
- [Product - Outbound](https://www.lorikeetcx.ai/product/outbound): Proactive AI outreach over SMS and voice with consent and opt-out controls
- [Customer Stories](https://www.lorikeetcx.ai/customer-stories): How teams use Lorikeet to resolve complex support at scale
- [Competitors](https://www.lorikeetcx.ai/competitors): How Lorikeet compares to other AI customer support platforms
- [Integrations](https://www.lorikeetcx.ai/integrations): Lorikeet integrations with helpdesks, CRMs, and backend systems
- [FAQ](https://www.lorikeetcx.ai/faq): Frequently asked questions about Lorikeet
- [Get a Demo](https://www.lorikeetcx.ai/get-a-demo): Book a demo with the Lorikeet team
- [About](https://www.lorikeetcx.ai/about): About Lorikeet - team, mission, and investors
- [Careers](https://www.lorikeetcx.ai/careers): Open roles at Lorikeet
- [Partner](https://www.lorikeetcx.ai/partner): Partner with Lorikeet
- [Release Notes](https://www.lorikeetcx.ai/release-notes): Latest product updates and releases
- [Press Kit](https://www.lorikeetcx.ai/press-kit): Lorikeet press assets and company information
- [Blog](https://www.lorikeetcx.ai/blog): Latest posts on CX, AI, and product updates
- [Articles](https://www.lorikeetcx.ai/articles): In-depth articles on AI in customer service
- [Thoughts on CX](https://www.lorikeetcx.ai/thoughts-on-cx): Perspectives on customer experience from Lorikeet and industry leaders
- [News](https://www.lorikeetcx.ai/news): CX, AI, and industry news coverage
- [Glossary](https://www.lorikeetcx.ai/glossary): Complete CX and AI glossary
- [CX Jobs](https://www.lorikeetcx.ai/cx-jobs): Curated job board for CX, AI, and support roles
- [Help Center Audit](https://www.lorikeetcx.ai/help-center-audit): Free audit of your help center readiness for AI
- [Team of Agents Resource](https://www.lorikeetcx.ai/resources/team-of-agents): How Lorikeet's Team of Agents coordinates across channels and tools
- [Privacy Policy](https://www.lorikeetcx.ai/privacy-policy): Lorikeet privacy policy
- [Terms of Service](https://www.lorikeetcx.ai/terms-of-service): Lorikeet terms of service

## Industries

- [Financial Services](https://www.lorikeetcx.ai/industry/financial-services): AI customer support for banks, fintech, and financial services companies
- [Healthcare](https://www.lorikeetcx.ai/industry/healthcare): AI customer support for healthcare and healthtech companies
- [Insurance](https://www.lorikeetcx.ai/industry/insurance): AI customer support for insurers handling complex claims and policyholder workflows

## Customer Stories

- [Arbor](https://www.lorikeetcx.ai/customer-stories/lorikeet-helped-arbor-automate-complex-support-flows-across-13-states): Lorikeet helped Arbor automate complex support flows across 13 states - matching human CSAT and navigating sensitive, regulated energy workflows.
- [Summ (formerly Crypto Tax Calculator)](https://www.lorikeetcx.ai/customer-stories/how-summ-efficiently-handles-support-spikes-during-tax-time): How Summ uses Lorikeet AI to handle massive support spikes during tax season while maintaining speed, accuracy, and CX quality.
- [Breeze](https://www.lorikeetcx.ai/customer-stories/how-breeze-used-lorikeet-to-build-for-support-scale-from-the-start): How Breeze resolved 40% of complex support tickets autonomously in 30 days using Lorikeet - scaling CX without scaling headcount.
- [Flex](https://www.lorikeetcx.ai/customer-stories/lorikeet-helps-flex-scale-support-with-ai-agents-that-match-urgency-with-accuracy): Lorikeet helps Flex scale support with AI agents that match urgency with accuracy - doubling CSAT and resolving rent-related tickets at record speed.
- [Amber](https://www.lorikeetcx.ai/customer-stories/how-amber-uses-lorikeet-to-get-the-right-tickets-to-the-right-agents-including-their-ai-agent): How Amber uses Lorikeet to triage support tickets with 99% accuracy - reducing delays, boosting team efficiency, and improving customer satisfaction.
- [Linktree](https://www.lorikeetcx.ai/customer-stories/learn-how-linktree-s-support-team-cut-first-response-time-to-1-minute-and-automated-complex-workflows-with-lorikeet): How Linktree's support team cut first response time to 1 minute and automated complex workflows with Lorikeet - all with full transparency and fail-safes.
- [Magic Eden](https://www.lorikeetcx.ai/customer-stories/how-nft-marketplace-magic-eden-use-lorikeet): How NFT marketplace Magic Eden nearly doubled CSAT and scaled customer support using Lorikeet's AI agent for fast, high-quality resolutions.
- [Eucalyptus - Topics](https://www.lorikeetcx.ai/customer-stories/how-eucalyptus-improved-operationally-with-topics): How Eucalyptus used Lorikeet Topics to gain actionable insights, streamline support workflows, and improve operational efficiency.
- [Eucalyptus - Patient-first support](https://www.lorikeetcx.ai/customer-stories/how-eucalyptus-use-lorikeet-to-deliver-healthcare-support-that-puts-patients-first): How Eucalyptus delivers fast, patient-first healthcare support with Lorikeet - cutting response times from 20 hours to 90 seconds with no quality loss.
- [Eucalyptus - Triage CSAT lift](https://www.lorikeetcx.ai/customer-stories/how-eucalyptus-boosted-csat-10pts-with-lotikeet-triage): How Eucalyptus increased CSAT by 10 points using Lorikeet's triage workflow to route tickets accurately and resolve support issues faster.
- [Eucalyptus - Crisis response](https://www.lorikeetcx.ai/customer-stories/how-eucalyptus-uses-lorikeet-to-turn-chaos-into-calm-during-their-biggest-moments): How Eucalyptus used Lorikeet's AI to respond to patient crises fast - deploying complex workflows and keeping CSAT stable under pressure.
- [Easykind](https://www.lorikeetcx.ai/customer-stories/how-easykind-delivered-24-7-patient-support-without-increasing-headcount): How Easykind scaled 24/7 patient support using Lorikeet's AI agent - maintaining quality care without growing headcount or increasing costs.

## Developer resources (machine-readable)

- [OpenAPI spec - demo booking API](https://www.lorikeetcx.ai/openapi.json): Full OpenAPI description of the keyless demo booking API at book.lorikeetcx.ai.
- [auth.md](https://www.lorikeetcx.ai/auth.md): How an agent authenticates with Lorikeet - which surfaces are keyless, and the OAuth 2.1 flow for the product MCP server.
- [ai-catalog](https://www.lorikeetcx.ai/.well-known/ai-catalog.json): Typed index of every agent interface on this domain (ARD / AI Catalog).
- [api-catalog](https://www.lorikeetcx.ai/.well-known/api-catalog): RFC 9727 catalog of the same API surfaces.
- [ai-plugin manifest](https://www.lorikeetcx.ai/.well-known/ai-plugin.json): Plugin manifest for the keyless surfaces.
- [CX jobs MCP server card](https://www.lorikeetcx.ai/.well-known/mcp/server-card.json): CX + AI jobs board MCP server - Streamable HTTP at https://cx-jobs.lorikeetcx.ai/api/mcp, read-only, no auth.
- [Product MCP server card](https://www.lorikeetcx.ai/.well-known/mcp/product-server-card.json): Product MCP server - Streamable HTTP at https://api.lorikeetcx.ai/v1/mcp, OAuth 2.1.
- [index.md](https://www.lorikeetcx.ai/index.md): Markdown twin of the homepage.

## Section indexes

- [Blog posts](https://www.lorikeetcx.ai/blog/llms.txt): Every Lorikeet blog post, linked and described.
- [Articles](https://www.lorikeetcx.ai/articles/llms.txt): Every Lorikeet article, linked and described.
- [Glossary](https://www.lorikeetcx.ai/glossary/llms.txt): Every CX + AI glossary term, linked and described.
- [Competitor comparisons](https://www.lorikeetcx.ai/competitors/llms.txt): Every Lorikeet competitor comparison, linked and described.
- [Full site text](https://www.lorikeetcx.ai/llms-full.txt): The complete text of every page on lorikeetcx.ai.

## Optional

- [Full Content](https://www.lorikeetcx.ai/llms-full.txt): Complete text of all articles and glossary definitions in one file