How AI Responses Work
Understand how Konrado.AI processes tickets and generates intelligent responses
Konrado.AI uses a multi-agent AI system to analyze support tickets and generate context-aware draft responses. Here's how the process works end-to-end.
Ticket Processing Flow
When a new ticket arrives from your support platform, the system follows this pipeline:
1. Ticket Reception
Your support platform (e.g., WHMCS) sends the ticket to Konrado.AI via webhook. The system captures:
- Ticket subject and body
- Customer information and account details
- Previous conversation history
- Associated services and products
2. Classification
An AI classifier analyzes the ticket to determine:
- Intent — What the customer is asking for (billing question, technical issue, general inquiry)
- Complexity — Whether this is a simple question or requires deeper investigation
- Priority — How urgent the request is based on content and context
3. Context Gathering
Based on the classification, the system gathers relevant context from multiple sources:
- Knowledge Base — Searches your indexed documentation, FAQ pages, and web content using semantic (vector) search to find the most relevant articles
- Server Integrations — Queries connected server and cloud office integrations (cPanel, DirectAdmin, Plesk, Proxmox, Solus2, Rackspace Cloud Office) for real-time customer account data, service status, and server metrics
- Ticket History — Reviews past interactions with the same customer for continuity
- Customer Data — Pulls account information, active services, and billing status from your support platform
4. Response Generation
With full context assembled, the AI generates a draft response that:
- Addresses the customer's specific question or issue
- References relevant documentation and knowledge base articles
- Includes technical details from server integrations when applicable
- Follows your custom instructions and brand voice (configured in Tweaking)
- Maintains conversation continuity with previous exchanges
5. Review and Send
The generated response is available for your team to review:
- In the Konrado.AI dashboard under the Tickets section
- In the browser extension widget directly within the WHMCS ticket page
Your team can accept the response as-is, edit it, or regenerate with different instructions before sending to the customer.
Multi-Agent Architecture
Under the hood, Konrado.AI uses specialized AI agents that collaborate:
| Agent | Role |
|---|---|
| Classifier | Analyzes incoming tickets and determines processing strategy |
| Knowledge Search | Performs semantic search across your indexed content |
| Context Builder | Gathers and assembles relevant data from all integrations |
| Response Writer | Generates the final customer-facing response |
| Quality Checker | Reviews the response for accuracy and tone before delivery |
This modular approach ensures each aspect of response generation is handled by a specialized component, resulting in higher quality outputs than a single monolithic prompt.
Continuous Improvement
The system improves over time through:
- Adaptation tracking — Monitors which responses your team uses, edits, or discards
- Knowledge base updates — Automatically refreshes indexed content daily
- Custom instructions — Your tweaking settings are applied to every response
- Feedback loops — Response quality metrics help identify areas for improvement
Learn more about configuring the AI in the Tweaking guide and managing your content in the Knowledge Base guide.