> 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-specific-tool.md).

# Monitoring the adoption of a particular AI tool

Monitor the adoption of a specific AI tool with 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="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 specific AI tool of interest

From the navigation panel, select the specific AI tool of interest listed under **AI Tools**.

<figure><img src="/files/7bLDSF9SO26UEWiqc9Oz" alt=""><figcaption></figcaption></figure>

***

## Breaking down dashboard 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 tool-specific dashboard data to analyze usage according to your organization structure or employee groups.

Depending on the AI Tool, you may also filter results by **desktop** and **web** (browser) versions.

<figure><img src="/files/gQlZ8C5RKNlX3pJjfoVr" alt=""><figcaption></figcaption></figure>

To filter the AI tool 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 %}

***

## Analyzing the adoption of the AI tool

Use dashboard sections and widgets to analyze AI adoption, usage, engagement patterns, and employee experience of the specific AI tool.

### Understanding key adoption indicators for the AI tool

Explore the top section of the tool-specific dashboard with **AI adoption** and engagement metrics:

* **Weekly** **AI-engaged time per employee**—with bar chart visualization. This metric includes the Industry benchmark.
* **Weekly active 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.

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/igzFSFF9tBxcr8xzH4Eq" 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 the AI tool

Track the **Employee experience with the AI tool,** 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/yTUEn6nNOMfYN3yHQqu6" 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/mxYbW2ilMcR83nDlyS2V" 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/yTUEn6nNOMfYN3yHQqu6" 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/bOBIjcgtn9679mrtEGsl" 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 %}

### Analyzing engagement patterns of the AI tool

Leverage tool-specific **AI usage details** with visualizations and benchmarking of AI-engaged time distributio&#x6E;**,** usage patterns, and user-tool interactions to better assess employee usage.

<figure><img src="/files/hFShHhcz9qcbBL1P2uhb" alt=""><figcaption></figcaption></figure>

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

<details>

<summary>Understand the <strong>AI-engaged time distribution</strong> across employees</summary>

The **AI-engaged time distribution** chart illustrates the percentage of employees using the AI tool within various time intervals. From 0–2 hours, 2–4 hours, up to—but not including—40 hours per week.

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/3AwxdI68q3MkQNeBlbV5" alt=""><figcaption></figcaption></figure>

</details>

<details>

<summary>Track <strong>AI interactions</strong> trend and volume over time</summary>

The **AI interactions** widget displays the volume of interactions and its evolution over time. Colored arrows with percentages indicate the direction of change for easy identification.

<figure><img src="/files/JIi2eGWKI4nOw3wWL6Dk" alt=""><figcaption></figcaption></figure>

</details>

<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/eSe9cOEPLvU5TzxQY93H" 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 quadrants, 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).
* **Weekly active users** in the department.
* **Churned users** who were active **30 days** ago but have shown no activity since.
* The number of **AI tool interactions 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>

#### Analyzing widgets and data specific to the Microsoft Copilot dashboard

The dashboard for Microsoft **Copilot** displays data and filters specific to this tool.

<figure><img src="/files/rbDBgqZUBq2C1twWnRac" alt=""><figcaption></figcaption></figure>

Use specific widgets and options only available in the Microsoft Copilot dashboard:

<details>

<summary>Apply user-license filters specific to the <strong>Microsoft Copilot</strong> dashboard</summary>

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 %}

<figure><img src="/files/b2BQc5xgOQr12j63ePlr" alt=""><figcaption></figcaption></figure>

</details>

<details>

<summary>Analyze widgets specific to the <strong>Microsoft Copilot</strong> dashboard</summary>

Find widgets specific to 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 how your organization's **AI-engaged time per employee** compares to the **Industry benchmark**.
* Keep track of the week-over-week (**WoW**) AI interaction trend in Copilot usage for specific applications.

<figure><img src="/files/Xmy9iMxP78XnsiyPfiIp" alt=""><figcaption></figcaption></figure>

</details>

<details>

<summary>Detecting AI engagement patterns with a <strong>heatmap</strong> specific to the <strong>Microsoft Copilot</strong> dashboard</summary>

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.

<figure><img src="/files/2XDao9NQvWPRyecqXFrO" alt=""><figcaption></figcaption></figure>

</details>

***

RELATED TASKS

* [Monitoring AI adoption](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-ai-adoption.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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-specific-tool.md?ask=<question>
```

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.