Lorikeet AI is a modern, enterprise-ready AI concierge platform built to act as a smart, always-on teammate. It integrates directly with tools your team already uses—like Slack, Notion, Zendesk, Intercom, Gmail—and takes action based on customer or team inputs.
Unlike traditional AI chatbots that focus on deflecting tickets, Lorikeet is designed to own the outcome: resolve the issue, close the loop, and leave your customer delighted.
Whether it’s refunding a payment, updating a CRM entry, or assigning tasks to the dev team—Lorikeet automates complex workflows and handles communication across departments. All this, with a human-like touch and enterprise-grade logic.
Quick Info
| Tool Name | Lorikeet AI |
|---|---|
| Tool Type | AI Concierge |
| Category | AI Customer Experience Automation |
| Key Feature | Outcome-first automation with existing tools |
| Pricing | Custom (Based on Scale & Use Case) |
| Official Site | lorikeetcx.ai |
Lorikeet AI Overview
Lorikeet gives every company the ability to deliver universal concierge service to their customers. With a strong belief that customers deserve proactive, intelligent, and personalized assistance, Lorikeet goes far beyond basic automation.
Traditional bots copy-paste help docs. Lorikeet understands the context, takes decisive actions, and engages across multiple platforms—24/7. Whether through Slack, email, or a customer support platform, it offers resolution, not just replies.
Their mission is not just to respond but to redefine what customer experience means. That means owning full workflows, from intake to resolution—without humans needing to babysit the AI.
Lorikeet AI Features
✅ Task Automation Across Tools
Lorikeet is deeply integrated with your SaaS stack—Zendesk, Intercom, Notion, Gmail, and more—allowing it to not just reply, but to do the work across your systems.
✅ Natural Conversations, Smart Actions
It communicates like a human, understands intent, asks clarifying questions, and then takes action—whether it’s updating a ticket, emailing a customer, or pinging a team on Slack.
✅ Escalation Intelligence
When it can’t solve an issue, Lorikeet enriches the ticket with all the context before escalating. This means faster resolutions and fewer human hours spent digging.
✅ Custom Workflow Logic
Every team operates differently. Lorikeet allows businesses to set custom rules, triggers, and logic for how the AI handles certain requests or processes.
✅ Enterprise Readiness
With data security, access controls, and team-based permissions, it fits comfortably into enterprise environments without introducing risk.
Lorikeet AI Mission
Lorikeet’s mission is bold and simple: to give every company a universal concierge—one that knows the user’s context, communicates naturally, and takes actions for them across any channel.
It’s a response to a broken model where bots send users on wild goose chases through help articles. Lorikeet, instead, acts on behalf of the user, instantly and intelligently.
They’re not just focused on support. Lorikeet also enables teams to provide proactive, lifecycle-based communication, breaking the boundaries between customer support, operations, and internal tooling.
Lorikeet AI Team
Lorikeet is founded by Steve and Jamie—both experienced in building complex, high-scale systems.
- Steve led product at Stripe and Watershed, building tools to manage financial reporting and carbon accounting.
- Jamie was a research lead at Google Brain, contributing to core AI breakthroughs like LaMDA and Meena, focusing on large language model grounding and human-like response generation.
Their approach? Start with the hardest problems—complex, customer-facing use cases—and build AI that can solve them at scale.
The rest of the team includes former talent from Stripe, Google, Atlassian, Dropbox, Canva, Salesforce, and more. The culture emphasizes real-world outcomes over AI hype, with a focus on diversity, research grounding, and user empathy.
Lorikeet AI Use Cases
- Automated Support: Triage and resolve tickets in Zendesk, Intercom, or Slack.
- Team Coordination: Post updates, assign tasks, and send reminders across ops teams.
- Customer Engagement: Proactively reach out about updates, delays, or actions needed.
- Sales Enablement: Follow up on leads, enrich CRM entries, and handle email flows.
Pros & Cons
✅ Pros
- Outcome-first automation mindset
- Works across the full stack of tools
- Strong enterprise security and control
- Deep AI grounding and explainability
- Great for both reactive and proactive CX
❌ Cons
- No public self-serve pricing or onboarding
- Still evolving advanced multi-agent capabilities
- Requires integration setup and workflow design
Final Verdict
Lorikeet AI is not a chatbot—it’s a digital teammate. One that owns its tasks, works across your tools, and understands when to escalate. For teams tired of superficial automation, Lorikeet offers a deep, action-oriented solution that bridges AI and operations.
If you’re scaling support, automating operations, or just want your internal processes to run smoother—Lorikeet may be the agent of change your team needs.
