# Monitoring AI adoption
AI tool adoption dashboards offer detailed visibility into how AI tools are adopted, used, and perceived across your organization. By combining operational data with sentiment and employee feedback, you can optimize and scale AI adoption.
## Analyzing global AI adoption from the Overview dashboard
{% hint style="warning" %}
If AI Tools dashboards show missing or incomplete data, contact your Nexthink administrator to verify and validate all [AI Tools requirements.](/platform/user-guide/ai-tools/setting-up-and-managing-ai-tools.md#before-you-begin)
{% endhint %}
The **AI Tools Overview** dashboard, under the **AI adoption** tab, aggregates insight 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.
{% hint style="info" %}
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](https://docs.nexthink.com/legal/global-ai-hub/nexthink-insights-ai-model-card) documentation for more information.
{% endhint %}
To analyze global AI adoption:
1. Navigate to **AI Tools** > **AI Tools Overview** from the main navigation.
2. Explore the top section of the **AI Tools Overview** dashboard with **AI adoption**, engagement metrics, and [Industry benchmarks](#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.
* 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 learn how the system determines engagement time, refer to [Working with AI Tools](/platform/user-guide/ai-tools/working-with-ai-tools.md#estimation-of-ai-engaged-time-per-employee).
{% hint style="info" %}
For AI tools preconfigured by Nexthink out of the box, the system highlights adoption metrics that are below or above the **Industry benchmark**, easily identified by red and green color codes.
Hover over each benchmark indicator for further information.
{% endhint %}
3. Review the **Employee experience with AI tools,** collected from [built-in Nexthink campaigns.](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-employee-experience-with-ai-tools.md)
* View the average number of hours employees believe they save each week by using AI tools. Compare the perceived saved time to **Industry benchmarks**.
* Identify successful **Use cases** based on employee comments on AI tool usage in their daily work, for possible scalability. These use cases are AI-generated by Nexthink based on campaign responses.
* Execute **Recommended actions** to address employee-reported challenges when using AI tools. These actions are AI-generated by Nexthink based on campaign responses.
4. 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](#breaking-down-ai-tool-adoption-by-employee-groups) that define your organizational hierarchy groups.
* Visually break down **AI usage patterns** 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.
* 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.
5. 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 [Working with AI Tools](/platform/user-guide/ai-tools/working-with-ai-tools.md#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.
6. Optionally, apply filters to the entire dashboard using the **Department** filter at the top of the page. You should [configure custom filters](#breaking-down-ai-tool-adoption-by-employee-groups) for AI Tools dashboards.
After detecting global AI adoption patterns and gaps, you should further investigate using tool-specific dashboards.
***
## Breaking down AI tool adoption by employee groups
{% hint style="warning" %}
Configuring and enriching **user organization fields** is required for monitoring AI tools based on your specific organizational structure.
{% endhint %}
Filter the AI Tools dashboard data to analyze the usage according to your organization structure or employee groups:
1. Enable custom filters for dashboards by setting up **user organization fields** in Nexthink. Refer [Product configuration](/platform/user-guide/administration/system-configuration/product-configuration.md#configuring-user-organization).
2. After creating and enriching user organization fields, filter AI Tools dashboards using the custom filters automatically added at the top of the page.
{% hint style="info" %}
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.
{% endhint %}
***
## Benchmarking AI adoption against industry peers
By default, the system benchmarks your AI usage data against the entire Nexthink customer base. 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 tool dashboard:
1. Select **Configure benchmark** from the top-right corner of the AI tool dashboard.
2. Based on the descriptions, **select the industry to benchmark** that best matches your organization, then save the configuration.
The industry-specific benchmark configuration automatically applies to all AI Tools dashboards.
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
{% hint style="info" %}
**Employee experience** metrics, such as perceived time saved, always use global benchmarks. Therefore, industry-specific benchmarks do not affect employee-experience dashboard data. Refer to [Monitoring employee experience with AI tools](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-employee-experience-with-ai-tools.md).
{% endhint %}
***
## Examining the adoption of a particular AI tool from a tool-specific dashboard
{% hint style="warning" %}
If AI Tools dashboards show missing or incomplete data, contact your Nexthink administrator to verify and validate all [AI Tools requirements.](/platform/user-guide/ai-tools/setting-up-and-managing-ai-tools.md#before-you-begin)
{% endhint %}
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.
{% hint style="info" %}
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](https://docs.nexthink.com/legal/global-ai-hub/nexthink-insights-ai-model-card) documentation for more information.
{% endhint %}
To analyze the adoption of a specific AI tool:
1. From the navigation menu, select the specific AI tool of interest listed under **AI Tools**.
2. Explore the tool-specific dashboard, designed to resemble the layout of the **AI Tools Overview** dashboard, combining tool-specific **AI adoption**, engagement metrics, and [Industry benchmarks](#benchmarking) with:
* **AI usage details** tables and widgets with tool-specific adoption breakdowns by **Department** or [configured custom filters](#breaking-down-ai-tool-adoption-by-employee-groups) that define your organizational hierarchy groups.
* **Weekly active users (WAU):** The percentage of users who most frequently engage with the specific AI tool.
* 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.
{% hint style="info" %}
For AI tools preconfigured by Nexthink out of the box, the system highlights adoption metrics that are below or above the **Industry benchmark**, easily identified by red and green color codes.
Hover over each benchmark indicator for further information.
{% endhint %}
3. Review the **Employee experience with the AI tool,** collected from [built-in Nexthink campaigns](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-employee-experience-with-ai-tools.md).
* View the average number of hours employees believe they save each week by using the AI tool. Compare the perceived saved time to **Industry benchmarks**.
* Identify successful **Use cases** based on employee comments on AI tool usage in their daily work, for possible scalability. These use cases are AI-generated by Nexthink based on campaign responses.
* Execute **Recommended actions** to address employee-reported challenges when using the AI tool. These actions are AI-generated by Nexthink based on campaign responses.
4. 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. Refer to [Working with AI Tools](/platform/user-guide/ai-tools/working-with-ai-tools.md#estimation-of-ai-engaged-time-per-employee).
* 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** or configured custom filters, 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.
5. 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. You should [configure custom filters](#breaking-down-ai-tool-adoption-by-employee-groups) for AI Tools dashboards.
#### Analyzing data specific to the Microsoft Copilot dashboard
The dashboard fro Microfost Copilot displays data and filters specific to this tool:
Applying user-license filters specific to the Microsoft Copilot dashboard
From the **Microsoft Copilot** dashboard, filter by **Copilot type**:
* The **Microsoft 365 Copilot** filter displays tool-specific data for licensed Copilot usage.
* The **Copilot chat** filter displays tool-specific data for unlicensed Copilot usage.
{% hint style="info" %}
Nexthink AI Tools collects user-license data for Microsoft Copilot by default, even if you do not configure Microsoft Copilot in AI Tools. Refer to [Configuring Microsoft Copilot using API credentials](/platform/user-guide/ai-tools/setting-up-and-managing-ai-tools/configuring-ai-tools/configuring-microsoft-copilot-using-api-credentials.md#configuring-the-tool-in-the-nexthink-web-interface) for more details.
{% endhint %}
Analyzing widgets specific to the Microsoft Copilot dashboard
Use specific widgets available in the **Microsoft Copilot** dashboard:
* The **Applications in use (Last 7 days)** widget shows usage breakdown of MS Copilot across applications, such as SharePoint, Excel, PowerPoint and more.
* Check if your organization is **Leading** or **Lagging** in terms of **AI-engaged time per employee** on a weekly basis compared to industry benchmarks.
* Keep track of the week-over-week (**WoW**) AI interaction trend in Copilot usage for specific applications.
Detecting AI engagement patterns specific to the Microsoft Copilot dashboard
Detect AI engagement patterns of Microsoft Copilot across organizational units and applications by using a heatmap that displays weekly AI engagement time by department and application.
Spot anomalies, such as tools with low activity in high-priority divisions, and simplify decision-making through a colored representation.
***
## 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 suggestions from AI Tools **Insights** and **Recommended actions**.
* Validate the effectiveness of targeted communication or training for specific AI tools.
* Track whether walkthroughs or [Adopt](/platform/user-guide/adopt.md) guides drive measurable improvements.
Ultimately, you should observe tangible value increments as a result of AI tool adoption.
{% hint style="info" %}
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).
{% endhint %}
***
RELATED TASKS
* [Monitoring employee experience with AI tools](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-employee-experience-with-ai-tools.md)
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.nexthink.com/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-ai-adoption.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.