Why Leading Brands
Choose Lorikeet
The only platform that combines enterprise-grade AI with continuous post-deployment engineering to deliver measurable customer experience outcomes
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The Lorikeet Difference
Most solutions optimize for different outcomes and knowing the category helps you evaluate faster. Here's what sets us apart in the customer experience landscape.
10 questions to evaluate an agentic AI platform for CX
1. Can it execute multi-step workflows, not just answer questions?
2. Can it take real actions in systems of record?
3. Does it preserve context across channels?
4. How does it handle escalation and human handoff?
5. What are the guardrails for policy and compliance?
6. What's the true measure of resolution quality?
7. What does post-deployment iteration look like?
8. Can it maintain audit trails and explain reasoning?
9. Have you tested with difficult real-world cases?
10. Can it meet your security and data requirements?
Lorikeet vs common alternatives
Lorikeet is a team of specialist agents coordinated by one orchestrator—built to resolve complex cases by taking real actions across your systems.
Fin
Performance
Optimized for end-to-end resolution (acts in tools)
Fast, out-of-the-box automation inside Intercom ecosystem
Team of agents - agentic workflow
AI agents capable of spawning other agents to coordinate with third parties
A single assistant inside Intercom; strongest for common intents vs coordinated specialist agents.
Coach (QA, insights, action-taking)
Lorikeet Coach analyses 100% of all tickets for quality score, identifies root causes and takes action to improve performance
Fin offers a CX Score built using ML, scored based on specific factors determined by Fin
Configurability
Update playbooks, routing, actions, and guardrails without heavy services
Self-serve for common changes; deeper customization varies by plan/setup
Complex work
Multi-step workflows + clean escalation
Best for common intents; deeper actions vary
Deployment speed
Within days for simple FAQs and within a few weeks for complex integrations with PM and Eng support included
Very fast if you already use Intercom
Pricing
Outcome-aligned (pay for successful resolutions from <$0.80 per resolution)
Varies by Intercom plan/add-ons ($0.99 per resolution in most cases)
Best fit
Teams with complex, regulated use cases, needing workflow execution across systems
Teams standardized on Intercom
Decagon
Performance
Orchestrated resolution + real actions
Enterprise agents + operating procedures
Coach (QA, insights, action-taking)
Lorikeet Coach analyses 100% of all tickets for quality score, identifies root causes and takes action to improve performance
Watchtower enables ticket monitoring through standard reports and analytics
Configurability
Ops-friendly iteration on playbooks, routing, actions, and controls
Customizable; iteration speed depends on how procedures are authored/tested
Complex work
Multi-step actions + clear handoffs
Strong on complex; scaling/debugging varies
Deployment speed
Fast pilot → reuse to scale
Typically longer enterprise rollout
Pricing
Outcome-aligned (pay for success)
Enterprise pricing (less transparent)
Best fit
Fast time-to-value + repeatable scaling
Enterprises investing in longer build cycles
Zendesk AI Agents
Performance
Workflow-driven resolution that takes actions across systems
Ticketing + automation suite; isn't built for complex-end-to-end resolution
Coach (QA, insights, action-taking)
Lorikeet Coach analyses 100% of all tickets for quality score, identifies root causes and takes action to improve performance
Rules/flows/macros; AI varies by Zendesk setup
Configurability
Iteration by ops teams: playbooks, routing, escalation, actions
Configuration is available only within Zendesk ecosystem; complex logic can become rule-heavy
Complex work
Multi-step workflows + clean escalation
Cross-system cases often require humans or custom tooling
Deployment speed
Fast pilot → reuse to scale
Fast if you’re already on Zendesk; heavier if redesigning flows
Pricing
Outcome-aligned (pay for success positioning)
Suite/add-on pricing (seats, plans, AI tiers)
Best fit
Teams that want resolution across tools without rip-and-replace
Teams standardized on Zendesk optimizing inside the suite
Sierra
Performance
Resolution via orchestrator + actions
Enterprise agent build programs
Coach (QA, insights, action-taking)
Lorikeet Coach analyses 100% of all tickets for quality score, identifies root causes and takes action to improve performance
Sierra Simulations focuses on upfront agent testing, with standard reporting and analytics
Configurability
Iterate without turning every change into a custom project
Deep customization; changes often require more implementation effort
Complex work
Multi-step workflows + confirmation
Strong for enterprise complexity
Deployment speed
Fast pilot → scale by reuse
Slower initial rollout (change mgmt)
Pricing
Outcome-aligned (pay for success)
Enterprise pricing
Best fit
Teams wanting speed + governance + scale
Large orgs ok with heavier implementation
Salesforce Agentforce
Performance
Workflow-driven resolution that takes real actions across systems
Simple automations and guided workflows inside Salesforce
Agentic depth
One orchestrator + specialists coordinating multi-step work
Best for bounded tasks; “agentic” behavior is limited by predefined flows
Coach (QA, insights, action-taking)
Lorikeet Coach analyses 100% of all tickets for quality score, identifies root causes and takes action to improve performance
Standard reporting and analytics, not a conversational interface for coaching
Configurability
Configure playbooks, routing, actions, and guardrails without heavy services
Configure primarily via Salesforce flows/rules; deeper cases often need more build workSalesforce
Cross-channel continuity
Configure primarily via Salesforce flows/rules; deeper cases often need more build workSalesforce
Strong in Salesforce surfaces; cross-channel continuity varies by setup
Complex work
Handles complex, multi-step requests with escalation + confirmation
Struggles as complexity grows beyond simple workflows and clean data
Deployment speed
Fast pilot → scale by reuse
Fast for simple use cases if you’re already on Salesforce
Pricing
Outcome-aligned (pay for success)
Platform + add-on pricing (licenses/usage), not outcome-based
Best fit
Teams that need real resolution across tools and high complexity
Teams doing light automation primarily within Salesforce
Kustomer AI
Performance
Orchestrate without replacing systems
Suite-first CRM + ticketing
Coach (QA, insights, action-taking)
Lorikeet Coach
Standard analytics
Configurability
Coordinate actions across systems without rip-and-replace
Strong inside suite; cross-system orchestration may need more integration work
Complex work
Cross-system workflows + escalation
Strong in-suite; cross-system varies
Deployment speed
Fast to integrate; fastest via pilot
Slower if migrating/consolidating
Pricing
Outcome-aligned (pay for success)
Suite pricing (seats/modules)
Best fit
Keep your stack; add resolution layer
Consolidate onto one service CRM suite
