Lorikeet

Lorikeet is an AI customer concierge for complex support teams that handles customer requests across phone, SMS, chat, email, and WhatsApp while working inside existing tools and SOPs. It uses outcome-based pricing tied to resolved tickets.

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AI customer concierge for complex support

Lorikeet is an AI customer concierge for complex support operations. It is presented as a product for ambitious fintech and healthtech teams, with messaging that centers on resolving customer problems end to end across a customer’s lifecycle rather than only answering simple questions.

The site describes Lorikeet as working across phone, SMS, chat, email, and WhatsApp, while operating inside existing tools and workflows. It is designed to follow a team’s SOPs, take actions in connected systems, and escalate to humans when it cannot complete a task on its own.

Core capabilities

Omnichannel concierge

Handles customer support interactions across phone, SMS, chat, email, and WhatsApp, with the product page also describing inbound and outbound support.

Context-aware resolution

Uses customer context and memory to work through support issues end to end rather than only suggesting articles or deflecting to a help center.

Action-taking workflows

Follows company SOPs and works inside existing systems such as Zendesk, Stripe, and internal APIs to complete workflows.

Channel-specific execution

Adapts responses and behavior by channel, including threaded email handling, real-time chat, voice calls, short-form SMS, and rich WhatsApp messages.

Testing and analytics

Includes testing, simulations, evaluations, and reporting to measure and refine performance over time.

Configurable controls

Offers guardrails and configurable behavior, with the pricing page listing custom guardrails and concierge actions across plans.

Where Lorikeet fits

Transactional customer requests
A support team can use Lorikeet to reschedule appointments, update delivery dates, or process other account-level requests that require context and action across systems.
Complex, compliance-sensitive support
Fintech, healthtech, and other regulated teams can route higher-stakes conversations through a workflow that follows SOPs and can escalate with the needed context.
Omnichannel service
Teams that support customers by phone, chat, email, SMS, and WhatsApp can keep one system across channels instead of maintaining separate handling logic for each one.
Support optimization and QA
Operations leaders can use the testing, simulations, evaluations, and reporting features to measure ticket handling and improve the system over time.
Volume-based support automation
Companies with growing ticket volume can use the outcome-based pricing model to align cost with resolved work rather than seats or platform fees.

Pros and Cons

Pros

Supports multiple customer channels, including voice and WhatsApp, in addition to chat, email, and SMS.
Works inside existing systems and SOPs rather than forcing a separate support process.
Can resolve or advance tickets end to end and escalate with context when needed.
Pricing is outcome-based, with charges tied to resolved tickets rather than seat counts or platform fees.
Includes testing, simulations, evaluations, and reporting in the product and pricing pages.

Cons

The source does not provide a full implementation walkthrough or technical setup guide.
Some integration detail is listed only at a high level, so readers may need a demo to confirm fit with specific systems or workflows.

FAQ

Who is Lorikeet for?

Lorikeet is positioned for support teams that need to automate complex, end-to-end customer issues across channels. The site emphasizes complex industries such as fintech and healthtech, and it is designed for support leaders evaluating AI automation.

Which channels does Lorikeet support?

The product pages show Lorikeet working across phone, SMS, chat, email, and WhatsApp. The overview page also describes inbound and outbound support, while the product page breaks out behavior by channel.

How does Lorikeet connect to existing workflows?

Lorikeet is configured to follow a team’s SOPs and work inside existing tools such as Zendesk, Stripe, and internal APIs. The pricing page also lists ticket platform integrations including Zendesk, Intercom, HubSpot, Front, and Salesforce.

How is Lorikeet priced?

Lorikeet’s pricing is outcome-based: the pricing page says customers pay only for tickets that are successfully resolved, and if they are unhappy with how a ticket was handled, they do not pay for that ticket.

What support is available for implementation?

The source does not spell out setup steps in detail, but it does indicate engineering support is included. Lower tiers mention implementation support, and the pricing page says enterprise customers receive a custom team across the contract term.

Quick Facts

Category: AI customer support / concierge
Platform type: Cloud software
Primary users: CX, support, and operations teams in complex industries
Channels: Phone, SMS, chat, email, WhatsApp
Pricing model: Pay per resolved ticket
Integrations: Zendesk, Intercom, HubSpot, Front, Salesforce, Stripe, and internal APIs