> For the complete documentation index, see [llms.txt](https://docs.nexthink.com/platform/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nexthink.com/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-ai-adoption.md).

# 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.

{% hint style="warning" %}
If AI Tools dashboards show missing or incomplete data, your Nexthink administrator should verify and validate [AI Tools requirements](/platform/user-guide/ai-tools/setting-up-and-managing-ai-tools.md#before-you-begin).
{% endhint %}

## Accessing the AI adoption dashboard

Select **AI Tools** > **AI Tools Overview** from the navigation panel to open the **AI adoption** tab.

<figure><img src="/files/5cJv4eROf7VrP2ZqHHyS" alt=""><figcaption></figcaption></figure>

***

## 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 <a href="#breaking-down-ai-tool-adoption-by-employee-groups" id="breaking-down-ai-tool-adoption-by-employee-groups"></a>

Filter the **AI adoption** dashboard data to analyze usage according to your organization structure or employee groups.

<figure><img src="/files/ALUGa4a7uMd9Vg1N6pGP" alt=""><figcaption></figcaption></figure>

To filter the **AI adoption** dashboard by employee groups:

1. Contact your Nexthink administrator to [configure user organization fields](/platform/user-guide/administration/system-configuration/product-configuration.md#configuring-user-organization). Custom filters become available after setting up **user organization fields** in Nexthink.
2. 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.

{% hint style="warning" %}
Configuring and enriching **user organization fields** is required for monitoring AI tools based on your specific organizational structure.
{% endhint %}

### Benchmark adoption data against industry peers <a href="#benchmarking" id="benchmarking"></a>

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:

1. Select **Configure benchmark** from the top-right corner of the AI adoption dashboard.
2. Based on the descriptions, select the industry to benchmark that best matches your organization, then **Save configuration**.

<details>

<summary>Industry sectors for benchmarking AI tools</summary>

* (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

</details>

<figure><img src="/files/cy9rhq7Nwba9xpq0pu1W" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
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.
{% endhint %}

***

## 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 [Working with AI Tools](/platform/user-guide/ai-tools/working-with-ai-tools.md#estimation-of-ai-engaged-time-per-employee).

<figure><img src="/files/9VQSyXHrdPkjYVr6vtLg" alt=""><figcaption></figcaption></figure>

{% 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 %}

### 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.

To review the criteria and questions within built-in campaigns, refer to [Working with AI Tools](/platform/user-guide/ai-tools/working-with-ai-tools.md#built-in-campaign-content-for-sentiment-tracking).

<figure><img src="/files/79DU0Zyy145IrNaKz7Z1" alt=""><figcaption></figcaption></figure>

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**.

<details>

<summary>Determine the <strong>weekly time saved</strong> from the employees' perspective</summary>

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.

<figure><img src="/files/TvBwDwa6eSURJQD9Y4VD" alt=""><figcaption></figcaption></figure>

</details>

<details>

<summary>Consult the <strong>Recommended actions</strong> for employee-reported challenges</summary>

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.**

<figure><img src="/files/21d3Ny60Cg6LpjKginhI" alt=""><figcaption></figcaption></figure>

{% 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 %}

</details>

<details>

<summary>Identify successful employee <strong>Use cases</strong> — for possible scalability of AI</summary>

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.**

<figure><img src="/files/in5Rk6VkMA92981M3wz3" alt=""><figcaption></figcaption></figure>

{% 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 %}

</details>

{% hint style="warning" %}
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](/platform/user-guide/ai-tools/setting-up-and-managing-ai-tools.md#before-you-begin)
{% endhint %}

### 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](#breaking-down-ai-tool-adoption-by-employee-groups) that define your organizational hierarchy groups.

<figure><img src="/files/6Q65jyKfAqCNNF6qqYxb" alt=""><figcaption></figcaption></figure>

Use the widgets and visualizations under **AI usage details** to:

<details>

<summary>Distribute <strong>AI usage patterns</strong> into distinct persona quadrants</summary>

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](#breaking-down-ai-tool-adoption-by-employee-groups) 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.

{% hint style="info" %}
The size of the circles in the quadrant chart represents the number of employees using the specific Al tool in each department.
{% endhint %}

<figure><img src="/files/VGfRqW0lSNNNrk3HqdX1" alt=""><figcaption></figcaption></figure>

</details>

<details>

<summary>Detect <strong>adoption patterns</strong> across AI tools and organizational units using a <strong>heatmap</strong></summary>

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 tool&#x73;**,** 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 [Working with AI Tools](/platform/user-guide/ai-tools/working-with-ai-tools.md#estimation-of-ai-engaged-time-per-employee).

<figure><img src="/files/oErFPGarTCvO9sGdBl6M" alt=""><figcaption></figcaption></figure>

</details>

<details>

<summary>Gain insights into user frequency for <strong>Tools in use</strong> <strong>(Last 7 days)</strong></summary>

Gain insights into user frequency for **Tools in use** **(Last 7 days)** across your organization:

* Number of **Active users** per AI too&#x6C;**.**
* **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.

<figure><img src="/files/ROIeKALrwtYHKDmxGAg4" alt=""><figcaption></figcaption></figure>

</details>

<details>

<summary>Break down engagement data by organization <strong>Departments</strong></summary>

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](#breaking-down-ai-tool-adoption-by-employee-groups) 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 [Working with AI Tools](/platform/user-guide/ai-tools/working-with-ai-tools.md#estimation-of-ai-engaged-time-per-employee).

<figure><img src="/files/a5Pd4s00fzjcqDytf0vI" alt=""><figcaption></figcaption></figure>

</details>

After detecting global AI adoption patterns and gaps, you should further investigate using a dashboard specific to a particular AI tool.

***

RELATED TASKS

* [Monitoring the adoption of a particular AI tool](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-ai-adoption-specific-tool.md)


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