Lorikeet
vs
Lorikeet vs Fin
Lorikeet vs Decagon
Lorikeet vs Decagon
vs
Decagon
AI concierge that takes action
AI concierge that takes action
AI concierge that takes action
Why teams switch from Decagon to Lorikeet: Teams choose Lorikeet when they want an agent that can take real actions across systems, including multi-agent architecture that can coordinate with third parties. Lorikeet deploys agent Product Managers and engineering support to help you ramp fast and specializes in complex and compliant industries - fintech, healthtech and more.
The Lorikeet difference:
→ Action-taking, not just FAQ - including agentic coordination between third parties
→ Agent Concierge and customer memory across all channels (voice, SMS, chat, email)
→ Ops-friendly configurability - more knobs and dials available out of the box
→ Pay only per successful resolution - not per interaction
See it in action.
See it in action.
See it in action.
Trusted by CX leaders in fintech, health tech and complex industries
Customers love us
Lorikeet is preferred over Decagon for performance, configurability and compliance
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner in every metric."
Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner in every metric."
Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner in every metric."
Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner in every metric."
Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
Customers love us
Lorikeet is preferred over Decagon for performance, configurability and compliance
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
Customers love us
Lorikeet is preferred over Decagon for performance, configurability and compliance
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
"We ran POCs with Fin AI, Decagon, and Lorikeet. Measuring on quality of responses, ability to customize and integrate with other tools and cost, Lorikeet was the clear winner"
Jiaona Zhang
Former Linktree CPO
"We tested AI solutions head-to-head and Lorikeet was a winner
in every metric."Lindsay Boland
CX AI Product Lead at Flex
"Lorikeet has consistently outperformed bigger, hype-ier companies in helping us deliver best-in-class support to our community. The Lorikeet team are obsessed with their customers AND their customers' customers."
Noah Kotlove
CEO of Berry Street
Lorikeet
vs
Decagon
See how Lorikeet stacks up
| Lorikeet | Decagon | |
|---|---|---|
Agentic workflows | Yes, Orchestrated resolution + complex actions | Yes - RAG, natural language workflows |
Integration with Intercom | ||
Low latency voice AI | ||
Agentic workflows, not just FAQ | ||
Configurable for complex, regulated use cases | ||
Price by resolution | Yes - <0.80 | Yes - 0.99 |
You define satisfactory 'resolution' | No, Fin's definition of resolution | |
PM and Engineering support | ||
Customer memory after interruption | ||
Proactive Coach to improve quality | ||
A/B testing and QA features |
Built for complexity and compliance
Unlike Decagon, you can use Lorikeet for the most complex, regulated use cases where customers need action taking
Built for complexity and compliance
Unlike Decagon, you can use Lorikeet for the most complex, regulated use cases where customers need action taking
Built for complexity and compliance
Unlike Decagon, you can use Lorikeet for the most complex, regulated use cases where customers need action taking
Built for complexity and compliance
Unlike Decagon, you can use Lorikeet for the most complex, regulated use cases where customers need action taking
Plugs easily into any ticketing system
Instant integration with Intercom, Zendesk, Front, Hubspot, and any other ticketing system available
Plugs easily into any ticketing system
Instant integration with Intercom, Zendesk, Front, Hubspot, and any other ticketing system available
Plugs easily into any ticketing system
Instant integration with Intercom, Zendesk, Front, Hubspot, and any other ticketing system available
Endlessly configurable agents
Unlike Decagon, we deploy AI PMs and engineering teams to enable agentic-action taking across multiple agents
Endlessly configurable agents
Unlike Decagon, we deploy AI PMs and engineering teams to enable agentic-action taking across multiple agents
Endlessly configurable agents
Unlike Decagon, we deploy AI PMs and engineering teams to enable agentic-action taking across multiple agents
Endlessly configurable agents
Unlike Decagon, we deploy AI PMs and engineering teams to enable agentic-action taking across multiple agents
Agentic workflows
Lorikeet
Yes, Orchestrated resolution + complex actions
Decagon
Yes - RAG, natural language workflows
QA, analytics and agent coaching
Lorikeet
Yes - Lorikeet Coach
Decagon
Limited - Watchtower
(not conversational AI)
Multi-agent action-taking
Lorikeet
Yes - team of agents
Decagon
Limited - single agent actions
Deploy in days
Lorikeet
Yes
Decagon
No - longer rollout
Priced based on successful resolution
Lorikeet
Yes - <$0.80/resolution
Decagon
No - priced per interaction
Configurability w/ PM and Eng team included
Lorikeet
Yes
Decagon
Limited customisation
Best fit
Lorikeet
Fast time-to-value + repeatable scaling
Decagon
Enterprises investing in longer build cycles
10 questions to evaluate an agentic AI platform for CX
1. Can it execute multi-step workflows, not just answer questions?
1. Can it execute multi-step workflows, not just answer questions?
1. Can it execute multi-step workflows, not just answer questions?
2. Can it take real actions in systems of record?
2. Can it take real actions in systems of record?
2. Can it take real actions in systems of record?
3. Does it preserve context across channels?
3. Does it preserve context across channels?
3. Does it preserve context across channels?
4. How does it handle escalation and human handoff?
4. How does it handle escalation and human handoff?
4. How does it handle escalation and human handoff?
5. What are the guardrails for policy and compliance?
5. What are the guardrails for policy and compliance?
5. What are the guardrails for policy and compliance?
6. What's the true measure of resolution quality?
6. What's the true measure of resolution quality?
6. What's the true measure of resolution quality?
7. What does post-deployment iteration look like?
7. What does post-deployment iteration look like?
7. What does post-deployment iteration look like?
8. Can it maintain audit trails and explain reasoning?
8. Can it maintain audit trails and explain reasoning?
8. Can it maintain audit trails and explain reasoning?
9. Have you tested with difficult real-world cases?
9. Have you tested with difficult real-world cases?
9. Have you tested with difficult real-world cases?
10. Can it meet your security and data requirements?
10. Can it meet your security and data requirements?
10. Can it meet your security and data requirements?
See your workflows resolved live
© 2026 Lorikeet. All rights reserved.
ABN: 53 669 390 149
See your workflows resolved live
© 2026 Lorikeet. All rights reserved.
ABN: 53 669 390 149
See your workflows resolved live
© 2026 Lorikeet. All rights reserved.
ABN: 53 669 390 149