AI Assistant Features

Purpose and Applications of AI Assistants

AI assistants can be widely applied across diverse industries and use cases, helping enterprises automate repetitive tasks and enhance operational efficiency, allowing teams to focus on high-value work and core competency development.

Below are common examples of AI assistant applications in enterprise workflows:

AI assistants can be applied across various industries, leveraging intelligent automation and real-time interaction advantages to help enterprises optimize processes, improve service quality, and enhance user experience. The following table lists common AI assistant application scenarios across different industries for reference.

Industry

Application Scenarios

E-commerce & Retail

Intelligent customer service, shopping recommendations, return processing

Finance & Insurance

Policy consultation, financial recommendations, risk Q&A

Education

Course assistance, learning diagnostics, language practice

Healthcare

Health consultation, appointment scheduling, patient education support

Government

Public service inquiries, policy Q&A, public feedback

Manufacturing

Internal knowledge management, maintenance operation guidance

Travel & Tourism

Itinerary recommendations, tour guidance, real-time Q&A support

Four Stages of MaiAgent AI Assistant Setup

The setup process for MaiAgent AI assistants can be divided into four major stages. Below is a brief explanation of the objectives and functions of each stage. Complete operational procedures will be introduced in detail in the following chapters.

1. Create a New AI Assistant

Customize AI assistants according to your needs by selecting appropriate language models, configuring RAG (Retrieval-Augmented Generation) sources, and defining the AI assistant's role and task positioning to create intelligent assistants that fit enterprise scenarios.

2. Provide Reference Materials for AI Assistant

Establish a comprehensive knowledge foundation for the AI assistant by setting up knowledge bases, creating FAQ sections, or importing web crawler data sources to further enhance the accuracy and practicality of responses.

3. Launch the AI Assistant

Decide whether to make the AI assistant publicly available or limit it to internal use only. If choosing public availability, it can be integrated through company website embedding, LINE, Messenger, or other channels, flexibly integrating into existing platforms.

4. Track AI Assistant Performance

Utilize all conversations, response quality, webhooks, and usage analytics features to track performance, serving as a basis for continuous optimization and experience enhancement of the AI assistant.