How to Build a Technical Support Chatbot Agent
An AI agent that helps you scale support operations by using high-performance troubleshooting automation.
Connectors and tools
Airtable
Google Drive
Created by
xpander.ai
Built for
Enterprises that need to scale support
Support teams in product companies
Useful links
Challenge
This agent primarily solves the knowledge silo and scalability bottleneck in enterprise support operations. It addresses the challenge of dependency on senior experts by automating the retrieval and synthesis of fragmented documentation across disparate integrations. Among the others, this ensures that junior representatives receive consistent, accurate solutions immediately, reducing the operational overhead of escalating routine queries and streamlining management processes.
How the AI agent works
Below is how the agent works:
1. Customer question: This is the entry point where the user (customer or support rep) enters their question, initiating the autonomous agent workflow.
2. Knowledge search: The orchestration layer searches for relevant information to answer the question using the Google Drive integrated tool.
3. AI-powered answer generation: An enterprise-grade AI model combines the original question and the retrieved results to generate a helpful, concise answer.
4. Write to Airtable: The agent prepares and writes the instruction into a specified Airtable base and table.
Key benefits
- Streamlined orchestration: Simplifies the complexity of managing multiple data sources through parallel workflow execution.
- Scalable architecture: The modular design allows for easy scaling and addition of new tools or knowledge bases without disrupting the core logic.
