We’re excited to share an upgrade to the LogicMonitor support experience: a newly enhanced AI-powered support agent built to deliver faster, more accurate answers and a smoother overall workflow.
As you know, we've continuously updated our support experience based on customer feedback. This improved AI support agent brings three key advancements:
1. Smarter Knowledge Retrieval and Intent Detection
The AI support agent better understands your questions and pulls the most relevant content from our support knowledge base. This results in clearer, more consistent guidance, especially for how-to and troubleshooting topics. In addition, with intent detection, the AI support agent will more efficiently connect you with our support team if unable to answer your inquiry.
2. Knowledge Gap Agent for Continuous Improvement
When the AI support agent identifies missing or incomplete documentation, it flags the gap and suggests improvements. This helps us keep our articles aligned with real customer needs and supports continuous, scalable improvement of the AI support agent.
3. A Modern, Streamlined Chat Interface
We’ve redesigned the support chat experience to make conversations more readable, easier to navigate and more efficient at routing to our teams.
When to Use the AI Support Agent
The AI support agent performs best when your question can be answered by LogicMonitor’s support documentation. If you’re looking to understand how something works, why something behaves a certain way, or what best practices to follow, the AI support agent is a strong first stop.
Best Use Cases for the AI Support Agent
- “How do I do X in LogicMonitor?”
- “I’m not receiving data on my Linux/Windows/network device—what should I check?”
- “What are best practices for alert tuning or managing devices?”
For these types of questions, the AI support agent can get you to the right answer quickly.
When the AI Support Agent Won’t Have the Context It Needs
The AI support agent does not have access to customer portal data or internal configuration details. For environment-specific questions, you’ll still want to work directly with our support team.
Limitations for the AI Support Agent:
- “I’m receiving alert LMD7896453—what does this mean for my deployment?”
- “Build me a custom DataSource for my environment.”
- “Who won the 1996 SuperBowl?”
In these cases, the AI support agent should route you to our support team.
Always Able to Connect You to a Human
If at any point you prefer to work directly with our support team, you can simply type:
“create a case”, “chat with engineer”, “live agent”, or anything similar.
In addition, when the AI support agent provides a response to a technical question, you’ll have the option to get routed to our support team via the button “No I need more help”.
The AI support agent will offer your chat/ticket options and then route your inquiry to our team accordingly.
Why This Matters
Our aim is to reduce friction, provide faster access to answers, and help you resolve issues more efficiently. By using the AI support agent for documentation-driven questions and switching to a human when needed, you’ll get a more streamlined end-to-end experience.
Community Manager