Lorikeet by Lorikeet | AI Agents

Specialized agent

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By Lorikeet

Lorikeet is an advanced AI agent specifically designed to transform customer support by addressing complex and high-stakes interactions with remarkable efficiency. Founded in 2023 by Steve Hind and Jamie Hall, former executives at Google and Stripe, Lorikeet stands out from conventional chatbots and support models due to its unique AI architecture and powerful workflow engine. This allows Lorikeet to operate similarly to a human customer support agent, enabling companies to provide more effective and reliable support solutions.

Features

The Lorikeet AI agent comes equipped with a range of features that enhance its customer support capabilities. These features allow it to perform complex tasks, integrate with existing systems, and adapt to various business needs while maintaining high levels of customer satisfaction.

Feature	Description
Complex Workflow Execution	Utilizes human-like reasoning to execute multi-step processes and solve intricate customer problems.
Integration with Existing Workflows	Seamlessly integrates into company workflows for a natural conversational experience while adhering to business rules.
Customizable and Scalable	Handles custom scenarios and scales to manage high volumes of support requests without sacrificing quality.
High CSAT and Efficiency	Improves customer satisfaction scores and reduces response times significantly through effective triaging capabilities.
Industry Suitability	Ideal for fintech and healthtech industries due to its ability to manage high-stakes interactions and precise business logic.
Training and Review	Trained on company-specific content and continuously improved through error analysis and training adaptations.

Use cases

Lorikeet can be effectively utilized across various scenarios within customer support, particularly in sectors that require intricate problem-solving capabilities. Here are some examples:

Fintech Support: Assisting customers with issues related to delayed transactions or compromised accounts, offering tailored solutions based on business rules and customer history.
Healthtech Queries: Handling urgent medical inquiries and escalating them to qualified personnel quickly, ensuring timely and effective responses in critical situations.
Order Management: Managing complex order-related issues such as replacements or refunds, while providing customers with real-time updates and resolutions.
Policy Clarifications: Explaining complex policies or procedures to customers in a clear and concise manner, ensuring understanding and satisfaction.

How to get started

To begin utilizing the Lorikeet AI agent for your customer support needs, interested parties can reach out directly to the company for more information. Potential users may also explore available trials or access a GitHub repository if provided. Engaging with Lorikeet's team will facilitate a better understanding of how the AI agent can be integrated into existing systems and workflows.

Lorikeet Pricing Information

The pricing information for Lorikeet is not available.

Features

Feature

Description

Complex Workflow Execution

Utilizes human-like reasoning to execute multi-step processes and solve intricate customer problems.

Integration with Existing Workflows

Seamlessly integrates into company workflows for a natural conversational experience while adhering to business rules.

Customizable and Scalable

Handles custom scenarios and scales to manage high volumes of support requests without sacrificing quality.

High CSAT and Efficiency

Improves customer satisfaction scores and reduces response times significantly through effective triaging capabilities.

Industry Suitability

Ideal for fintech and healthtech industries due to its ability to manage high-stakes interactions and precise business logic.

Training and Review

Trained on company-specific content and continuously improved through error analysis and training adaptations.

Use cases

Lorikeet can be effectively utilized across various scenarios within customer support, particularly in sectors that require intricate problem-solving capabilities. Here are some examples:

Fintech Support: Assisting customers with issues related to delayed transactions or compromised accounts, offering tailored solutions based on business rules and customer history.

Healthtech Queries: Handling urgent medical inquiries and escalating them to qualified personnel quickly, ensuring timely and effective responses in critical situations.

Order Management: Managing complex order-related issues such as replacements or refunds, while providing customers with real-time updates and resolutions.

Policy Clarifications: Explaining complex policies or procedures to customers in a clear and concise manner, ensuring understanding and satisfaction.

How to get started