Suggest RMM Script to Run

This action allows Neo to suggest an appropriate RMM (Remote Monitoring and Management) script to run based on the ticket information and historical data of script usage.

Screenshot 2024 12 16 at 13.39.30

How it Works?

1

Neo analyzes the incoming ticket, extracting key information about the issue.

2

Neo searches through the RMM system’s script library and historical script usage data.

3

Based on the ticket details and past successful resolutions, Neo suggests the most appropriate RMM script to run.

Benefits

  • Efficiency
    Quickly identifies the most relevant script, saving time for technicians.
  • Consistency
    Ensures consistent approach to similar issues across different technicians.
  • Optimization
    Helps in identifying frequently used scripts, aiding in script library management.

FAQs

Neo uses natural language processing to understand the ticket’s content and context. It then compares this information with historical data on script usage and success rates for similar issues. The script with the highest relevance and success rate is suggested.

Yes, if custom or modified scripts are part of your RMM system’s library and have been used successfully in the past, Neo can suggest these as well. The system learns from all script usage, including custom ones.

If there’s no exact match, Neo will suggest the closest relevant script based on similar issues. It will also provide a note explaining why this script was chosen and any modifications that might be needed.

Neo is designed to integrate with various RMM systems. It adapts its suggestions based on the specific scripts and capabilities available in your particular RMM system.

Absolutely. Technicians can provide feedback on the effectiveness of suggested scripts. This feedback is incorporated into Neo’s learning process, improving future suggestions.

Neo’s knowledge base is continuously updated. As new scripts are added to your RMM system or existing scripts are modified, Neo incorporates this information into its suggestion algorithm.