Lorikeet
Automates complex customer support resolutions across chat, email, and voice channels
Lorikeet is an AI platform that builds universal concierges for customer support, resolving complex issues across chat, email, voice, SMS, and SDK channels. It integrates with systems like Zendesk and Stripe to execute workflows, following company SOPs for actions such as processing refunds or rescheduling appointments.
The tool achieves 97 percent accuracy in resolutions, leading to 97 percent faster handling and 30 percentage point improvements in CSAT scores. Lorikeet escalates unresolved cases to human teams with complete context, ensuring seamless handoffs.
Pricing operates on a per-successful-resolution basis, with plans including Starter for low-volume chat and email, Growth for higher volumes, and Enterprise for multi-channel custom needs.
Competitors include Zendesk for broad ticketing and Intercom Fin for messaging focus, but Lorikeet stands out in multi-step automation. Users report strong performance in fintech and healthtech, with examples like upgrading insurance policies or shipping medications express. Setup requires defining workflows, typically taking one to two weeks.
The architecture uses intelligent graphs to manage business logic, supporting multi-conditional judgments. The funding of $35 million in August 2025 supports global expansion. For implementation, map SOPs thoroughly and monitor initial resolutions to refine performance.
Homepage Screenshot 📸
Video Overview 🎬
What are the key features? ✨
- Workflow Automation: Executes multi-step processes like refunds or rescheduling by following defined SOPs and integrating with backend systems.
- Multi-Channel Support: Manages customer interactions seamlessly across chat, email, voice, SMS, and SDK for comprehensive coverage.
- Intelligent Escalation: Identifies unsolvable issues and hands off to human agents with full context and gathered data.
- System Integration: Connects directly to tools such as Zendesk and Stripe to retrieve data and perform actions in real time.
- Pay-Per-Resolution Pricing: Charges only for tickets successfully resolved, aligning costs with outcomes and reducing risk.
Who is it for? 🤔
Examples of what you can use it for 💡
- Fintech Support Agent: Automates account updates and fraud disputes by pulling transaction data from Stripe and confirming changes via email.
- Healthtech Patient Coordinator: Reschedules appointments and expedites medication shipments based on voice inputs and EHR integrations.
- E-commerce Customer Service Rep: Processes returns and upgrades orders through chat, linking directly to inventory systems for instant fulfillment.
- Insurance Policy Handler: Updates coverage details and issues refunds following SOPs, escalating edge cases to underwriters with summaries.
- Travel Booking Assistant: Manages flight changes and hotel upgrades across SMS and voice, coordinating with partner APIs for real-time availability.
Pros & Cons ⚖️
- 97% resolution accuracy
- Boosts CSAT by 30 points
- Pay only for successes
- Seamless multi-channel
- Requires workflow setup
- Custom pricing opacity
FAQs 💬
Ready to try Lorikeet?
Automates complex customer support resolutions across chat, email, and voice channels
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