Monitoring AI tools
This Technical Preview is made available to customers free of charge for their evaluation and feedback; in general availability the functionalities of the preview may be subject to additional cost and/or licensing. As such, the Technical Preview, the documentation, and any updates are provided for limited evaluation only and on an ‘as-is’ and ‘as-available’ basis without warranty of any kind.
AI Drive dashboards offer detailed visibility into how AI tools are adopted, used, and perceived across your organization.
By combining operational data with sentiment and feedback, the AI Drive dashboards support a closed-loop optimization cycle—helping you scale AI adoption.
Analyzing global AI adoption from the overview dashboard
The AI tools overview dashboard aggregates insight across all AI tools, including both commercial and custom-built tools.
The system automatically monitors preconfigured AI tools out of the box—such as ChatGPT—through traffic pattern recognition, endpoint activity, and employee feedback.
The system estimates AI usage on desktop-type applications using the focus_time
field from the execution.events
. If the focus_time
opt-in field is not enabled, Nexthink cannot monitor user interactions with AI tools on desktop applications.

To analyze global AI adoption:
Navigate to AI Tools > AI tools overview from the main navigation.
Explore the top section of the AI tools overview dashboard with AI adoption, engagement metrics and benchmarking:
Weekly AI-engaged time per employee—with bar chart visualization.
Weekly active AI user percentages and average number of tools used per employee.
Percentage of inactive users who have not used AI tools in the last year.
AI-generated Insights with recommendations to address usage or enablement gaps.
Leverage AI usage details tables and widgets to sort AI adoption and engagement metrics by AI Tools in use, or break usage down by Department.
Visually break down AI usage patterns by department into behavior quadrants to identify where enablement or optimization is most needed:
Champions: high usage time and frequency.
Deep divers: high usage time, lower frequency.
Regulars: steady, moderate usage.
Explorers: low usage time and frequency.
The size of the circles in the quadrant chart represents the number of employees using Al tools in each department.
Review the Employee experience with AI tools, collected from built-in Nexthink campaigns.
View the average number of hours employees believe they save each week by using AI tools.
Execute Recommended actions to address employee-reported challenges when using AI tools. The system generates these actions based on campaign responses.
Identify successful Use cases based on employees' comments on AI tool usage in their daily work, for possible scalability.
Optionally, apply filters to the entire dashboard using the Department filter at the top of the page.
Examining the adoption of a specific AI tool
The system estimates AI usage on desktop-type applications using the focus_time
field from the execution.events
. If the focus_time
opt-in field is not enabled, Nexthink cannot monitor user interactions with AI tools on desktop applications.
Every AI tool features a dedicated dashboard that provides detailed insights into its usage and adoption metrics. This allows you to adjust license numbers, initiate enablement campaigns/training, or identify low usage areas.
To analyze the adoption of a specific AI tool:
From the navigation menu, select the specific AI tool of interest listed under AI Tools.
Explore the tool-specific dashboard, designed to resemble the layout of the AI Tools overview dashboard, combining tool-specific AI adoption, engagement metrics and benchmarking with:
AI usage details tables and widgets with tool-specific adoption breakdowns by Department.
Percentage of Churned users who have not used the specific AI tool in the last 30 days, but used it at least once in the last year.
Tool-specific available licenses.
AI-generated Insights with recommendations to address tool-specific usage and enablement gaps.
Leverage tool-specific advanced visualizations and benchmarking of AI-engaged time distribution and user-tool interactions, helping to better assess employee usage and feedback.
The AI-engaged time Distribution chart illustrates the percentage of employees using the AI tool within various time intervals (0–2 hours, 2–4 hours) up to—but not including—40 hours per week.
The AI interactions chart displays the time-series trend and the progression in the volume of interactions.
Visually break down tool-specific AI usage patterns by department into behavior quadrants to identify where enablement or optimization is most needed.
Champions: high usage time and frequency.
Deep divers: high usage time, lower frequency.
Regulars: steady, moderate usage.
Explorers: low usage time and frequency.
The size of the circles in the quadrant chart represents the number of employees using the specific Al tool in each department.
Review the Employee experience with the AI tool, collected from built-in Nexthink campaigns.
View the average number of hours employees believe they save each week by using the AI tool.
Execute Recommended actions to address employee-reported challenges when using the AI tool. The system generates these actions based on campaign responses.
Identify successful Use cases based on employees' comments on AI tool usage in their daily work, for possible scalability.
Optionally, apply filters to the entire dashboard using the Department or Application type—Web or Desktop version of the AI tool—at the top of the page.

Built-in campaigns for monitoring employees' perception of AI tools
Ensure all employee devices have Collector version 25.5.1
or later. This guarantees the correct deployment of built-in Nexthink campaigns.
To display the Employees' experience with AI tools in all AI tool dashboards, Nexthink uses built-in campaigns that you should enable and activate.
If needed, you can modify campaign settings for AI tools to exclude specific users from campaigns or disable the campaign entirely. Additionally, you can edit campaign sender information and preview the campaign.
Each campaign includes these three questions:
How much time has
[AI tool]
saved you over the past 7 days?Options: Time ranges (None, Less than 1h, 1-5h, 6-10h, 11-15h, 15-20h, More than 20h)
How could
[AI tool]
be more useful to you, and what could we do to help? (Free text input).What is the last thing you did, or tried to do, with
[AI tool]
? (Free text input).
Campaigns are sent under the following conditions:
Only employees actively using at least one monitored AI tool receive campaigns.
Each employee receives a campaign at most once every 90 days, and only for one of the tools they use.
A maximum of 5% of the employees receive a campaign on any given day.
Balancing AI adoption
Report adoption results of AI tool solutions to stakeholders and leadership:
Track employee-AI interaction trends to optimize the allocation of licenses/resources.
Measure employee response shifts after conducting recommended actions from AI tools Insights.
Validate the effectiveness of targeted communication or training for specific AI tools.
Track whether walkthroughs or Adopt guides drive measurable improvements.
Ultimately, you should observe tangible value increments as a result of AI tool adoption.
To maintain objectivity in reporting, follow Nexthink dashboards and insights to identify correlations and isolate variables. This way, you avoid over-attributing outcomes to AI tool adoption efforts without sufficient validation.
In addition, support observations with evidence-based frameworks such as statistical correlation measures, e.g., Pearson’s R or controlled comparisons (A/B testing).
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