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<< Click to Display Table of Contents >> Raynet One > 2026.1 > User Guide > First impressions > Recurring areas and elements > AI Chat AI Chat Visual Insights |
AI Chat can generate not only textual responses but also structured data previews and visual insights based on user queries.
By analyzing data from the Raynet One inventory, the assistant can present results as tables, charts, and summarized metrics. This allows users to quickly understand trends, distributions, and key indicators within their IT environment.
The following examples illustrate typical questions that can trigger visual insights within AI Chat.
The following examples illustrate typical questions that can be used in AI Chat to analyze inventory data and generate visual insights such as charts, tables, and summarized metrics.
•"Show me the distribution of operating systems in my environment."
•"Show me the top 10 most installed software products."
•"How many devices have critical vulnerabilities?"
•"Summarize the licenses extracted from uploaded contracts and highlight potential optimization opportunities."
•"Analyze my software inventory and identify products that are over-licensed or under-licensed. Show the results as a chart and highlight the top optimization opportunities including estimated cost savings."
When the AI assistant retrieves data from your system, it may present the information in various formats:
•Data grids showing tabular information.
•Dashboards with summary statistics.
•Pie charts for visual data representation.
•Plain text summaries and explanations.
For detailed examples demonstrating how these queries translate into practical analysis scenarios, see AI Chat Use Cases.