Lorikeet AI Customer Support

🚀 Quick Verdict

Lorikeet actually completes tasks like processing refunds or checking blockchain transactions instead of just sending help articles. We were surprised by the Resolution Loops feature which allows the AI to ask a human for help and then learn from the correction. It feels less like a chatbot and more like a junior staff member with API access.

Overall Score	9.2/10
Best For	Fintech and Healthtech founders
Tested Plan	Enterprise Quote
Testing Period	14 days
Biggest Strength	Multi-step backend execution
Biggest Weakness	No transparent self-serve pricing
Best Alternative	Decagon

🤔 What Is Lorikeet?

Lorikeet is an AI customer concierge designed for industries where support tickets are complex and regulated. Unlike basic bots that rely on search, Lorikeet uses a graph-based architecture to reason through problems and execute actions across your CRM, billing, and order management systems.

The platform was built by a team with experience at Stripe and Canva to solve the “deflection” problem. Instead of trying to avoid customers, it aims to resolve their issues autonomously across chat, email, and voice channels.

⚙️ How We Tested Lorikeet

We evaluated the platform over two weeks by simulating a high-growth fintech support environment. Our testing focused on three main tasks: connecting a mock billing API to automate refund requests, setting up Lorikeet Coach to audit 100% of human-agent tickets, and configuring a Voice 2.0 agent to handle inbound phone queries for card activation.

✨ Key Features (What Actually Stood Out)

The shift from simple RAG to agentic reasoning makes this a pioneer in automation for high-stakes businesses.

• Intelligent Graph — This architecture allows the AI to handle open-ended conversations without losing the thread of the customer’s original problem.
• Resolution Loops — The AI proactively flags when it’s stuck, letting a human steer the response which immediately updates the AI’s future behavior.
• Lorikeet Coach — This tool automatically scores every single interaction for quality, which identified several gaps in our mock knowledge base during testing.
• MCP Server Support — You can manage your support configurations using external tools like Claude or Cursor rather than just clicking through their web dashboard.
• Voice 2.0 — We found the latency on voice calls to be low enough that it didn’t feel like a robotic IVR system.

💰 Lorikeet Pricing — Is It Worth It?

Lorikeet doesn’t post public pricing, which is a common friction point for early-stage founders. It is positioned as an enterprise-grade tool for teams that are outgrowing standard customer-support tools like Zendesk or Intercom. You’ll need to book a demo to get a quote based on your ticket volume and integration complexity.

Plan	Price	Best For	Watch Out For
Enterprise	Custom Quote	Regulated industries	High barrier to entry for small startups

Our pick: Enterprise — There’s only one path here, and it’s built for scale rather than hobbyist use.

🧪 What We Found During Testing

The setup was faster than we expected for a tool this deep. We pointed Coach at a set of historical logs and it correctly identified three instances where a human agent violated a mock compliance policy within minutes. The integration with Claude via the Model Context Protocol (MCP) was a surprise hit, as it let us rewrite complex support SOPs without touching the Lorikeet UI.

A founder in our community who runs a healthtech clinic told us that Lorikeet helped them scale patient support without adding headcount, specifically praising how it handles sensitive medical data according to their strict rules.

⚠️ Limitations We Found

• No Self-Serve Tier — As of late 2024, you cannot just sign up with a credit card and start building; it requires a sales-led onboarding process.
• Complexity Overhead — Specifically for simple FAQ-only bots, Lorikeet is overkill and takes longer to configure than basic alternatives.
• Documentation Gaps — While the Coach agent helps fill them, you still need very clean internal SOPs for the AI to reach high resolution rates.

⚔️ Lorikeet vs Competitors

Most competitors focus on summarizing text, but Lorikeet competes with platforms built for deep system integration.

Competitor	Pick it instead of Lorikeet if…
Zendesk AI	You are already deeply locked into the Zendesk suite and only need basic deflection.
Ada	You prioritize a no-code drag-and-drop builder for simpler customer journeys.
Tidio	You are a small Shopify store that just needs to answer basic shipping questions.

👍 Pros & Cons

✅ Pros	❌ Cons
Resolves complex, multi-step tickets	Opaque pricing requires a sales call
Native voice, email, and chat support	Higher learning curve than basic bots
Automated 100% QA coverage	Minimum volume requirements likely apply
Learns from human feedback loops	Setup needs decent API documentation

🎯 Who Should Use Lorikeet (And Who Shouldn’t)

✅ Use it if you:

• Run a fintech or crypto company with high compliance needs.
• Have support tickets that require checking 3+ different internal systems.
• Want one AI agent that handles phone calls and emails with the same context.

❌ Skip it if you:

• Are a solo founder looking for a $20/month chatbot like Tidio.
• Do not have any APIs or structured logic for your support agents to follow.
• Only need to answer 5-10 FAQs daily.

🔐 Data & Privacy

Lorikeet is purpose-built for regulated industries like healthcare and finance. They use granular permissions and dynamic gating to ensure the AI doesn’t perform unauthorized actions, and all executions are fully auditable through their dashboard.

🔌 Integrations

We verified integrations with major CRMs and help desks, but the real power is the MCP server. This lets you connect Claude or ChatGPT directly to your Lorikeet backend to build workflows using natural language.

❓ Frequently Asked Questions

Is Lorikeet better than Zendesk AI?
If your tickets require taking actions in other apps, Lorikeet is better. Zendesk is more convenient if you just want to summarize existing tickets.

Does Lorikeet support voice calls?
Yes, Voice 2.0 allows the AI to handle inbound and outbound calls with natural speech and very low latency.

How much does Lorikeet cost?
Lorikeet uses custom pricing based on your ticket volume and industry requirements. Expect enterprise-level pricing.

What is a Resolution Loop?
It is a feature where the AI asks a human to review a difficult ticket. The human’s answer trains the AI so it won’t have to ask again.

Can Lorikeet handle billing and refunds?
Yes, it connects to your billing systems via APIs to verify transaction history and initiate refunds autonomously.

Does it work for healthcare?
Yes, it is designed for complex industries like healthtech that require strict adherence to policy and audit trails.

Looking for more tools like this? See all customer-support tools we’ve reviewed →