Lorikeet Review (2026): Pricing, Features & Honest Verdict

TLDR

Lorikeet is an AI customer support concierge that resolves complex, multi-step tickets end-to-end across chat, email, voice, SMS and WhatsApp, built specifically for regulated fintech and healthtech companies. Best for: high-stakes support teams in fintech and healthcare. Price: From $1,500/mo plus per-resolution fees (free plan: no). Rating: 7.8/10

What is Lorikeet?

Lorikeet is an AI “customer concierge” that goes beyond answering FAQs. It resolves genuinely complex support cases end-to-end, making judgment calls, checking transactions and statuses, executing multi-step workflows, and escalating to a human only when it should. It runs 24/7 across phone, SMS, chat, email and WhatsApp, and plugs into tools like Zendesk, Stripe and internal APIs so it can actually take action rather than just deflect.

The company was founded in 2023 by Steve Hind, a former Stripe product lead, and Jamie Hall, an ex-Google Brain researcher. It came out of stealth in October 2024 and has since raised roughly $75 million, including a $35M Series A led by QED Investors, with backers like Blackbird, Square Peg and Canva co-founders Melanie Perkins and Cliff Obrecht. Named customers include Eucalyptus, Airwallex, Flex, Linktree and Magic Eden. The pitch is narrow on purpose: instead of being another generic support bot, Lorikeet targets industries where a wrong answer has real consequences.

What Are Lorikeet’s Key Features?

End-to-end resolution, not deflection

The core differentiator is that Lorikeet is designed to actually close tickets, not just triage them. It executes workflows, checks a customer’s transaction or account status, and takes actions across connected systems. Lorikeet cites metrics like 99% accuracy and 97% faster resolution from customers, and the model bills only when a ticket is genuinely resolved, which aligns the product with real outcomes.

Multi-channel and voice support

Lorikeet handles chat, email, SMS, WhatsApp and voice from one agent. Voice is a first-class channel with its own resolution pricing (for calls up to three minutes), so the same concierge that answers a live chat can pick up a phone call and drive sub-one-minute first responses.

Deep integrations and workflow execution

It connects to helpdesks like Zendesk, payment systems like Stripe, and internal APIs. That’s what lets it move beyond scripted answers into real work: issuing a status update, checking a payment, or routing a case with the right context. One crypto customer is cited as running across 10+ blockchains.

Compliance-first design for regulated industries

Because the target buyer is fintech, lenders, insurers, healthtech and betting operators, Lorikeet is built with compliance and accuracy front of mind. The customer defines and holds veto over what counts as a resolution, which is a meaningful control when you’re letting an AI take action on regulated accounts.

How Much Does Lorikeet Cost?

Lorikeet starts at $1,500/mo (Start, billed as $18,000/year) for teams under 5,000 monthly tickets, with a Scale plan at $4,000/mo ($48,000/year) for 5,000–20,000 tickets, and custom Enterprise pricing above that. On top of the platform fee, you pay per resolution: roughly $0.95 per chat, email or SMS resolution and $1.50 per voice resolution on Start, dropping to $0.80 and $1.20 on Scale. There are no per-seat charges and no implementation fees, and escalations to a human aren’t billed as resolutions.

That’s expensive next to seat-based tools. Intercom’s Fin AI agent, the closest mainstream competitor, charges about $0.99 per resolution but without Lorikeet’s multi-thousand-dollar platform floor. Lorikeet’s pricing only makes sense at volume in high-value industries, where a single mishandled fintech ticket can cost far more than the per-resolution fee.

Who Is Lorikeet Best For?

Lorikeet is built for a specific buyer: support and CX leaders at scaling fintechs, healthtechs, insurers and other regulated businesses that field thousands of complex, high-stakes tickets a month and can’t afford a bot that guesses.

Use Lorikeet if you run a fintech or healthtech with 5,000+ monthly tickets, your support cases require judgment and system actions (not just FAQ answers), and you want outcome-based pricing that only charges for real resolutions.

Skip Lorikeet if you’re a small team, a solo founder, or an early-stage SaaS with low ticket volume. The $1,500–$4,000/mo platform floor plus per-resolution fees will dwarf simpler tools, and you don’t need compliance-grade support automation yet.

Best Lorikeet Alternatives

Lorikeet sits in a crowded AI-support market, but few rivals focus as tightly on regulated, complex support. Here are the three most relevant alternatives.

Intercom Fin

Intercom’s Fin AI agent is the mainstream default, resolving support tickets at about $0.99 per resolution with a mature helpdesk behind it. It’s easier to adopt and cheaper to start with than Lorikeet, but it’s a generalist and less tailored to fintech-grade compliance and multi-step action-taking.

Decagon

Decagon is a well-funded enterprise AI support agent aimed at large brands, with strong workflow automation and custom pricing. It competes directly with Lorikeet for bigger accounts; the choice often comes down to industry fit and how each handles complex, regulated cases.

Sierra

Sierra, from ex-Salesforce and Google leaders, is a premium conversational AI agent platform with outcome-based pricing similar in spirit to Lorikeet. It’s enterprise-focused and highly capable, but it’s a broad platform rather than a fintech/healthtech specialist.

Final Verdict: Is Lorikeet Worth It?

Lorikeet is one of the sharpest AI support products we’ve looked at, precisely because it refuses to be everything to everyone. By focusing on complex, high-stakes support in fintech and healthtech, and by charging only when it actually resolves a ticket, it earns trust in exactly the industries where trust matters most. The founder pedigree (Stripe, Google Brain), the $75M in funding, and marquee customers like Airwallex and Eucalyptus are strong signals that this is a serious, durable product.

The catch is that it’s clearly not for everyone. The $1,500–$4,000/mo platform floor plus per-resolution fees puts it out of reach for small teams, and pricing is sales-led rather than self-serve. But if you’re a scaling regulated business drowning in complex tickets, Lorikeet is well worth a serious evaluation, and its outcome-based model means you’re mostly paying for results. For its target buyer, it’s a strong recommendation; for everyone else, look at cheaper generalists first.