Lorikeet
AI-native customer support platform built specifically for regulated, technical B2B SaaS (fintech, healthtech) with full audit trails on every decision.
🔗 Visit Lorikeet
Description
A support chatbot for a shopping site can get away with a wrong answer now and then. A support agent for a fintech or healthtech app can't — a mistake there can mean a compliance problem, not just an annoyed customer. Lorikeet builds AI customer-support agents specifically for that harder case: companies where every answer the AI gives needs to be explainable and traceable after the fact, not just "probably right." Lorikeet handles support across email, chat, voice, SMS and WhatsApp, integrates with tools like Zendesk, Salesforce, Stripe and HubSpot, and includes a "Coach Agent" that reviews 100% of tickets for quality rather than a random sample. Its explainable-AI design keeps a full audit trail for every resolution, and it offers SOC2, ISO27001 and HIPAA BAA coverage at higher tiers — compliance features aimed squarely at fintech and healthtech buyers rather than general e-commerce support.
💬 Our review
The short version: Lorikeet is what you'd pick over a general AI support tool if a wrong answer from your support bot could create a compliance headache, not just a bad customer experience.
The audit-trail and 100%-ticket-QA design (via its Coach Agent) is the real differentiator here — most AI support platforms sample a subset of conversations for review; reviewing all of them and keeping an explainable trace of why the AI answered the way it did is specifically built for industries where a regulator or auditor might ask to see it later. HIPAA BAA availability at higher tiers signals it's genuinely built for healthtech, not just claiming compliance as a checkbox. Pricing is outcome-based (per resolved ticket, from roughly $0.80-$1.50 depending on channel) rather than per-seat, which is fairer for support-heavy teams but harder to forecast than a flat subscription. The honest caveat: it's a newer, more narrowly focused product than Decagon, so its integration ecosystem and proven scale are smaller — a company in an unregulated industry (retail, consumer apps) likely doesn't need the compliance overhead Lorikeet is built around and would get more general-purpose polish from Decagon or Intercom Fin instead.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pros
Built specifically for regulated industries (SOC2, ISO27001, HIPAA BAA)
100% ticket QA via Coach Agent, not sample-based review
Explainable AI with full audit trails on every resolution
Outcome-based pricing, no per-seat charges
Cons
Narrower focus and smaller proven scale than Decagon
Overkill (and cost) for unregulated industries that don't need the compliance layer
❓ Frequently asked questions
- Why would a company pick Lorikeet over a general AI support tool?
- Because it's built specifically for regulated industries — fintech and healthtech — with compliance features (HIPAA BAA, SOC2, ISO27001) and a fully auditable trail for every AI decision, which general-purpose tools don't prioritize.
- How does its quality assurance work?
- A built-in Coach Agent reviews 100% of tickets, not a random sample, and every resolution has a traceable, explainable decision path.
- How is it priced?
- Outcome-based, per resolved ticket — no per-seat fees. Tiers range from a ~$1,500/mo Start plan for under 5,000 tickets to custom Enterprise pricing for 20,000+.
- Is it worth the money compared to alternatives?
- If you're in fintech or healthtech, the compliance and audit-trail features can justify a premium over a general tool like Decagon or Intercom Fin, since a support mistake in those industries carries regulatory risk, not just reputational cost. Outside regulated industries, that overhead isn't worth paying for.
- Which tool should you pick for your case?
- Regulated fintech/healthtech B2B SaaS: Lorikeet. Large consumer company at broad scale: Decagon. Already on Intercom as your helpdesk: Intercom Fin. General e-commerce support: Ada.