Omnichannel concierge
Handles customer support interactions across phone, SMS, chat, email, and WhatsApp, with the product page also describing inbound and outbound support.
Lorikeet est un concierge client IA pour les équipes de support complexes. Il traite les demandes par téléphone, SMS, chat, e-mail et WhatsApp dans les outils et procédures existants, avec une tarification liée aux tickets résolus.
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.
Handles customer support interactions across phone, SMS, chat, email, and WhatsApp, with the product page also describing inbound and outbound support.
Uses customer context and memory to work through support issues end to end rather than only suggesting articles or deflecting to a help center.
Follows company SOPs and works inside existing systems such as Zendesk, Stripe, and internal APIs to complete workflows.
Adapts responses and behavior by channel, including threaded email handling, real-time chat, voice calls, short-form SMS, and rich WhatsApp messages.
Includes testing, simulations, evaluations, and reporting to measure and refine performance over time.
Offers guardrails and configurable behavior, with the pricing page listing custom guardrails and concierge actions across plans.
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.
Fintech, healthtech, and other regulated teams can route higher-stakes conversations through a workflow that follows SOPs and can escalate with the needed context.
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.
Operations leaders can use the testing, simulations, evaluations, and reporting features to measure ticket handling and improve the system over time.
Companies with growing ticket volume can use the outcome-based pricing model to align cost with resolved work rather than seats or platform fees.
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.
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.
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.
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.
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.
Les données de trafic sont fournies à titre indicatif uniquement.
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