How to train your AI Assistant Aura

Aura, your AI assistant, is designed to provide personalized and accurate support for your customers. To achieve this, Aura is trained using carefully curated sources of information. Below is an overview of how you can train Aura to maximize its efficiency and ensure it aligns with your business needs.

1. Sources for Training Aura

Aura can be trained using the following sources:

Help Center Articles

Your existing help center articles serve as a foundational resource for Aura. By leveraging these articles, Aura can respond to customer queries with reliable, standardized, and well-verified information.

Canned Responses

Canned responses are pre-written replies used for frequently asked questions or recurring customer scenarios. Training Aura with these responses ensures consistency and speed in handling repetitive customer inquiries.

Chatflow Intents

If you’ve built custom chatflows to guide your customer interactions, you can define specific intents within these chatflows. These intents allow Aura to handle tailored scenarios, ensuring it understands the specific context of your business workflows and customer interactions.

AI Missions

Aura can also be trained through AI Missions, which are task-focused initiatives designed to help Aura achieve specific goals, such as:

• Automating repetitive tasks.

• Collecting data for analysis or insights.

• Supporting unique customer requirements.

2. What Aura Does Not Use for Training

At this time, Aura is not designed to learn directly from past customer support chats. This decision prioritizes:

• Accuracy: Customer chats often include context-specific or sensitive details that are unsuitable for generalization.

• Privacy: Avoiding the use of potentially sensitive information maintains the highest privacy standards for your customers.

This ensures that Aura’s responses remain appropriate, reliable, and free from unintentional bias.

3. Why Curated Sources Are Important

Using well-verified sources like help center articles and canned responses ensures that Aura provides:

• Consistency: Customers receive standardized information regardless of the agent or situation.

• Accuracy: Responses are based on trusted, reviewed, and up-to-date materials.

• Quality Control: Avoiding unstructured or sensitive data minimizes errors and enhances customer satisfaction.

4. Best Practices for Training Aura

To get the best results from Aura, consider the following tips:

• Keep Content Updated: Regularly review and update your help center articles and canned responses to reflect the latest information about your products or services.

• Organize Content Clearly: Ensure your help center articles are categorized logically and written in a clear, concise manner.

• Define Specific Intents: When creating chatflows, map out clear intents to guide Aura’s behavior in different scenarios.

• Leverage AI Missions Thoughtfully: Use AI Missions to address specific business goals or improve efficiency in routine tasks.

Need Assistance?

If you have questions about training Aura or need further guidance, feel free to contact our support team. We’re here to ensure Aura becomes a seamless extension of your support system.