Access DashAI
From anywhere in the app, click the DashAI icon in the bottom right:


Context and RAG
DashAI uses Retrieval-Augmented Generation (RAG). Retrieval-Augmented Generation (RAG) is an AI technique that combines a retrieval system with a generative model. Instead of relying only on what an external model was trained on, DashAI first searches the Zayo DynamicLink knowledge base. That retrieved context is then passed into the DashAI LLM so its answer is grounded in current, specific, and domain-accurate data. This reduces hallucinations and lets models handle topics they weren’t originally trained on.Use DashAI as a question and support bot
You can use the DashAI LLM as a support bot where you can ask troubleshooting questions, how-to questions, and any other questions about DynamicLink processes or concepts. For example:- “My latency to the AWS us-east-1 on-ramp seems high. What are the first steps to investigate?”
- “How do I add a new VLAN to my existing port?”
- “What is the difference between an E-Line and an E-LAN service?”
Use DashAI as an operational tool
You can perform CRUD (Create, Read, Update, Delete) operations on your network resources simply by telling DashAI what you want to do. This feature applies to a wide range of your DynamicLink resources, including:- L2 & L3 Connections (E-Line, E-LAN, etc.)
- Dedicated Internet Access (DIA)
- Cloud Connections (AWS, Azure, Google Cloud, etc.)
- Service Events & Alarms
- Performance Statistics
- Enable /Disable Services
- Set Security rules
You will always be presented with a confirmation prompt before execution. See Command verification below
Command structure and best practices
- Be specific: Include identifiers like circuit IDs, locations, or service names for clarity.
- State your intent clearly: Use action words like “create,” “show,” “get,” “update,” “change,” “increase,” or “delete.”
- Combine queries: You can ask for information and then act on it in a subsequent command.