AI anxiety is rising almost everywhere. Except in support.
What you'll learn:
Read the report.
2,015
consumers surveyed
3
countries (US, UK, CA)
95%
recent AI-support users
Methodology: Verified Prolific panel, fielded July 2026. United States, United Kingdom, and Canada. Roughly 95% used an AI support agent in the last 3 months. No gating.
Trusted by CX leaders in fintech, health tech and complex industries
The five findings
Support is the exception to AI anxiety.
2:1
improving vs souring on AI support over the past year (38.2% more positive vs 19.3% more negative), against a falling general AI trend.
71%
would be satisfied with AI once it resolves the issue correctly and quickly. Only 9.5% still hold out for a human. The human preference is conditional on the outcome.
69%
say an excellent AI support experience makes a brand more memorable, against only 3.8% who say less. Good AI support is a brand asset in its own right.
We tested AI solutions head-to-head and Lorikeet was a winner in every metric.
Lindsay Boland, Customer Service AI Product Lead, Flex
What’s inside.
Ten sections from the report. Five findings front-loaded. Two real customer deployments. Data-led, no padding.
01
Executive summary: the five findings, front-loaded
02
Methodology: 2,015 recent AI-support users across the US, UK, and Canada
03
The support exception: sentiment improving 2 to 1 against a falling general trend
04
Quality tracks industry: Amazon, and the 2.6x vs 3.2x inverse split
05
The conditional human: 71% satisfied once AI solves the problem
06
Brand memorability: 69% say great AI support is memorable
07
The second chance: 47% retry the AI after a first-try failure
08
In practice: Flex (fintech) and Eucalyptus (digital health)
09
Key implications: five concrete plays plus the numbers that matter
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.