AI assistant features

Purpose and Uses of the AI Assistant

The AI assistant can be widely applied across various industries and use cases to help companies automate repetitive tasks, improve operational efficiency, and allow teams to focus on high-value work and developing core strengths.

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

AI assistants can be applied across many industries to leverage intelligent automation and real-time interaction, helping businesses optimize processes, improve service quality, and enhance user experience. The following lists common AI assistant use cases by industry for reference.

Industry	Use Cases
E-commerce & Retail	Intelligent customer service, shopping recommendations, return process handling
Finance & Insurance	Policy consultation, financial product recommendations, risk Q&A
Education	Course assistant, learning diagnostics, language practice
Healthcare	Health consultation, appointment scheduling, patient education support
Government Agencies	Public service inquiries, policy Q&A, citizen feedback
Manufacturing	Internal knowledge management, maintenance operation guidelines
Travel & Tourism	Itinerary recommendations, guided tours, real-time Q&A support

MaiAgent AI Assistant Setup in Four Stages

The MaiAgent AI assistant setup process can be divided into four major stages. The following briefly explains each stage's goals and functions; full operational steps will be detailed in the subsequent sections.

1. Create a New AI Assistant

Customize the AI assistant as needed: select an appropriate language model, configure RAG (retrieval-augmented generation) sources, and define the assistant's role and task positioning to build an intelligent assistant that fits the company's scenario.

2. Provide Reference Materials for the AI Assistant

Establish a solid knowledge base for the AI assistant by configuring knowledge sources, creating an FAQ, or importing data via web crawlers, thereby improving reply accuracy and usefulness.

3. Launch the AI Assistant

Decide whether to make the AI assistant publicly available or limit it to internal use. If public, integrate it into existing platforms via embedding on the company website or connecting through channels like LINE or Messenger.

4. Track AI Assistant Performance

Use all conversation logs, reply quality, Webhooks, and usage analysis features to track performance and serve as the basis for continuous optimization and experience improvement.

Before creating an AI assistant, you might want to read a few helpful articles!

🗣️How to choose an LLM (large language model)?

🔎What is RAG (Retrieval-Augmented Generation)?

👨‍👩‍👧‍👦What are role instructions?