Decagon vs Lorikeet
Two Customer Support AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
The AI concierge for every customer
Best forEnterprises that want omnichannel AI customer service agents with natural-language workflows and cross-channel memory.
What it doesDecagon builds omnichannel AI agents for customer service across voice, chat, and email. It uses Agent Operating Procedures to define workflows in natural language, with cross-channel conversation memory plus testing, optimisation, and analytics tools.
Capabilities- Omnichannel AI agents across voice, chat, and email
- Agent Operating Procedures for natural-language workflows
- Testing, optimisation, and experimentation tools
- Analytics and customer insights
- Cross-channel conversation memory
Visit Decagon →AI customer concierge for complex, regulated support.
Best forFintechs, healthtechs and other regulated businesses with complex, high-stakes support.
What it doesLorikeet is an AI customer support platform that resolves complex issues end-to-end across phone, SMS, chat, email and WhatsApp. It connects with business tools and internal APIs to act on issues directly, executes multi-step support procedures, and recognises when human intervention is needed, routing tickets with full context. It targets accuracy and reliability in high-stakes workflows.
Capabilities- End-to-end complex issue resolution
- Multi-channel support
- Deep system and API integration
- Context-rich escalation
Visit Lorikeet →How to choose
Choose Decagon if you are enterprises that want omnichannel ai customer service agents with natural-language workflows and cross-channel memory. Choose Lorikeet if you are fintechs, healthtechs and other regulated businesses with complex, high-stakes support. Both sit in Customer Support; the right pick depends on your exact workflow and budget.
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