Start Simple: Low-Hanging Fruits
The most simple but powerful use case is making the AI assistant search the internal knowledge base and answer questions. Identify communication channels where repetitive questions are most frequently asked, such as HR inquiries, compliance questions, or product-related queries. By focusing on these channels, you can maximize the efficiency and effectiveness of the AI assistant, ensuring that it addresses common issues promptly and reduces the workload for team members.
Starting small allows you to test the AI assistant's capabilities and understand its limitations. As you gain confidence, you can gradually expand its use to more complex tasks.
Preparing Knowledge Base
To create effective AI assistants, you need a strong knowledge base. Gather FAQs, process documentation, or common workflows that the assistant can reference when responding to user inquiries.
A well-prepared knowledge base ensures that your AI assistant can provide accurate and helpful responses. Regularly update this knowledge base to keep it relevant and reflective of any changes in your processes or policies.
Storing the knowledge base in a content management system, such as Google Drive or Notion, is highly effective. By integrating these services into Runbear, you can keep the AI assistant's knowledge base up-to-date, ensuring that it always has access to the latest information and can provide accurate responses.
Tips for Better Knowledge Base Management
- Maintain a Clear Hierarchy: A well-structured document hierarchy helps the AI understand different sections and improves the relevance of its responses. Use different levels of headings and paragraphs to maintain clarity.
- Limit the Knowledge Scope: More information does not always mean better quality. Too much irrelevant data can confuse the AI when selecting the most relevant information. Instead of putting all information into one assistant, create multiple AI assistants with focused, relevant knowledge for different purposes.
- Use Paragraphs over Tables: Paragraphs are more effective than tables for the AI to understand as a knowledge base. Tables are better suited for use as databases rather than for conveying information to the AI.