Monitoring AI adoption
Monitor aggregated insights across all AI tools, including both commercial and custom-built tools.
The system automatically monitors preconfigured AI tools, such as ChatGPT, Claude, Gemini, etc., through traffic pattern recognition and endpoint activity.
If AI Tools dashboards show missing or incomplete data, your Nexthink administrator should verify and validate AI Tools requirements.
Accessing the AI adoption dashboard
Select AI Tools > AI Tools Overview from the navigation panel to open the AI adoption tab.
Preparing dashboard data for your use case
Use custom filters and benchmarking options to filter dashboard widgets and reflect AI adoption data that matches your organization's target groups.
Breakdown AI adoption data by your employee groups
Filter the AI adoption dashboard data to analyze usage according to your organization structure or employee groups.
To filter the AI adoption dashboard by employee groups:
Contact your Nexthink administrator to configure user organization fields. Custom filters become available after setting up user organization fields in Nexthink.
After creating and enriching user organization fields, filter AI adoption dashboards using the custom filters automatically added at the top of the page.
Custom filters replace the default Department filter in all AI Tool dashboards to avoid conflicts between the defined organizational structure and the default Department data.
Filters are interconnected—selecting a value in one narrows the others to match, in any order. Non-matching values stay visible but are not selectable. Mismatched filter selections show a warning icon.
Configuring and enriching user organization fields is required for monitoring AI tools based on your specific organizational structure.
Benchmark adoption data against industry peers
By default, the system benchmarks your AI usage data against the entire Nexthink customer base, easily identified in the dashboard by red and green colored indicators.
However, you can compare AI adoption metrics against organizations similar to yours, such as those in the Financial or Energy and Utilities sectors—to name a few.
To update dashboard benchmarking to match a specific industry, from the AI adoption dashboard:
Select Configure benchmark from the top-right corner of the AI adoption dashboard.
Based on the descriptions, select the industry to benchmark that best matches your organization, then Save configuration.
Industry sectors for benchmarking AI tools
(System default) All industries – Entire Nexthink customer base
Consumer Goods – Retail and packaged goods, including food and beverages
Energy and Utilities – Power, oil, gas, and infrastructure providers
Financial – Banking, insurance, and investment services
Healthcare and Pharmaceuticals – Hospitals, care providers, and drug manufacturers
Industrials – Manufacturing, engineering, and heavy industry
IT – Software, hardware, and digital service providers
Organizations – Government, public sector, and non-profits
Services – Consulting, education, retail, and hospitality
The industry-specific benchmark configuration automatically applies to all AI adoption dashboards.
But Employee experience metrics, such as perceived time saved, always use global benchmarks. Therefore, industry-specific benchmarks do not affect employee-experience dashboard data.
Analyzing the AI adoption
Use dashboard sections and widgets to analyze AI adoption, usage, engagement patterns, and employee experience across AI tools.
Understanding key AI adoption indicators
Explore the top section of the AI adoption dashboard with engagement metrics and Industry benchmarks:
Weekly AI-engaged time per employee—with bar chart visualization.
Percentage of Weekly active users
Percentage of inactive users who have not used AI tools in the last year.
The number of AI tools that were used per employee in the past 30 days.
AI-generated Insights with recommendations to address usage or enablement gaps.
To understand how the system determines engagement time, refer to Estimation of AI-engaged time per employee.
The system displays the ✦ sparkles icon to indicate AI-generated content or insights. AI is evolving rapidly and delivering great insights, but it can still make mistakes. Nexthink recommends validating your results to ensure accuracy and support informed decision-making.
Refer to the Nexthink Insights - AI Model Card documentation for more information.
Monitoring Employee experience with AI tools
Track the Employee experience with AI tools, collected by built-in Nexthink campaigns that capture employee perspective and sentiment.
If no data appears under Employee experience with AI tools, the built-in Nexthink campaigns may not be active or fully deployed. After activation, allow up to seven days for data to appear.
If the issue persists, contact your Nexthink administrator to verify all AI Tools requirements
Powered by AI, Nexthink generates Recommended actions and Use cases based on employee feedback. In addition, the system compares the perceived saved time to Industry benchmarks.
Determine the weekly time saved from the employees' perspective
View the average number of hours employees believe they save each week by using AI tools. Compare the perceived saved time to Industry benchmarks.
Alternatively, hover over the weekly time saved to reveal the action menu for related drilldowns or investigations.
Consult the Recommended actions for employee-reported challenges
Powered by AI, Nexthink generates Recommended actions to address employee-reported challenges when using AI tools. The system automatically lists the actions from highest to lowest impact.
Select a specific recommendation to review the related employee comments, including an AI-generated summary at the top under Insights.
The system displays the ✦ sparkles icon to indicate AI-generated content or insights. AI is evolving rapidly and delivering great insights, but it can still make mistakes. Nexthink recommends validating your results to ensure accuracy and support informed decision-making.
Refer to the Nexthink Insights - AI Model Card documentation for more information.
Identify successful employee Use cases — for possible scalability of AI
Powered by AI, Nexthink generates Use cases based on employee comments about AI tool usage in their daily work. The system automatically lists the use cases from most to least common across employees.
Select a specific use case to review the related employee comments, including an AI-generated summary at the top under Insights.
The system displays the ✦ sparkles icon to indicate AI-generated content or insights. AI is evolving rapidly and delivering great insights, but it can still make mistakes. Nexthink recommends validating your results to ensure accuracy and support informed decision-making.
Refer to the Nexthink Insights - AI Model Card documentation for more information.
To preview how employees see the built-in campaign, from the action menu in the Employee experience with AI tools:
Select the See campaign preview option.
Navigate the campaign preview to follow all campaign questions.
To further review the criteria and questions within built-in campaigns, refer to Built-in campaign content for sentiment tracking.
Analyze AI engagement patterns
Leverage AI usage details tables and widgets to sort AI adoption and engagement metrics by AI tool, or break usage down by Department or configured custom filters that define your organizational hierarchy groups.
Use the widgets and visualizations under AI usage details to:
Distribute AI usage patterns into distinct persona quadrants
Visually distribute AI usage patterns into persona quadrants to identify the employee groups that require enablement or optimization initiatives. Break down usage by Department or configured custom filters to focus on specific employee groups.
Each quadrant represents a distinct AI usage persona:
Champions frequently use the AI tool in their workflows and accumulate high daily and weekly usage.
Deep divers regularly use the AI tool and accumulate high daily usage but lower weekly usage.
Regulars use the AI tool consistently over time, with lower daily usage but higher weekly usage.
Explorers use the AI tool infrequently, with low daily and weekly usage.
The size of the circles in the quadrant chart represents the number of employees using the specific Al tool in each department.
Detect adoption patterns across AI tools and organizational units using a heatmap
Detect adoption patterns across AI tools and organizational units using a heatmap for multidimensional data visualization.
Select the adoption metric to Display, such as Weekly active users, Inactive users, Weekly engagement time with AI tools, and Perceived weekly time saved from the employee perspective.
View the adoption metrics by Departments or by configured custom filters that define your organizational hierarchy groups.
Spot anomalies, such as tools with low activity in high-priority divisions, and simplify decision-making through a colored representation.
To understand how the system determines engagement time, refer to Estimation of AI-engaged time per employee.
Gain insights into user frequency for Tools in use (Last 7 days)
Gain insights into user frequency for Tools in use (Last 7 days) across your organization:
Number of Active users per AI tool.
AI-engaged time per employee with each tool (in hours). Refer to Estimation of AI-engaged time per employee.
Industry benchmark of AI-engaged time, per employee, with each tool (in hours).
Total AI-engaged time represents the time all employees spent interacting with the tool.
Break down engagement data by organization Departments
At the bottom of the dashboard, the Breakdowns by Department table lists insights similar to the previous section, based on the Department or configured custom filters that define your organizational hierarchy groups. The list displays:
Weekly AI-engaged time per employee in the department (in hours).
Percentages of weekly active users and inactive users in the department.
The sum of weekly active and inactive users equals the department's total headcount: 100%.
The number of AI tools in use per employee in the department.
To understand how the system determines engagement time, refer to Estimation of AI-engaged time per employee.
After detecting global AI adoption patterns and gaps, you should further investigate using a dashboard specific to a particular AI tool.
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