# Working with AI Tools

See how AI tools are adopted, used, and perceived across your organization. AI Tools dashboards combine operational data with employee sentiment to help you optimize and scale AI adoption.

To start using AI Tools:

* Review [#key-ai-tools-concepts](#key-ai-tools-concepts "mention") concepts below.
* See guides on how to monitor AI adoption and analyze employee experience:
  * [Monitoring AI adoption](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-ai-adoption.md)
  * [Monitoring employee experience with AI tools](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-employee-experience-with-ai-tools.md)

{% hint style="warning" %}
Nexthink administrators should first meet all **technical requirements** to ensure the correct configuration and monitoring of AI tools, and facilitate a smooth onboarding. Refer to [Setting up and managing AI Tools](/platform/user-guide/ai-tools/setting-up-and-managing-ai-tools.md#before-you-begin).
{% endhint %}

## Key AI Tools concepts

### Data collection for AI Tools

AI Tools collects data from multiple Nexthink components to monitor usage of AI tools and provide actionable insights:

* **Nexthink browser extension:** Tracks web-based usage of tools like ChatGPT. Required for capturing adoption trends.
* **Collector:** Gathers endpoint telemetry, including `focus_time` and Nexthink campaign responses. Collector version `25.5.1` or later is required to support built-in feedback campaigns for AI tools.
* **Inbound connector for Microsoft Copilot:** Monitors usage patterns for Microsoft Copilot across applications like Outlook, Powerpoint, Teams, etc.

Together, these sources power the AI Tools dashboards with visibility into usage, sentiment, and productivity impact.

{% hint style="info" %}
Refer to / for more information on data collection specific to Microsoft Copilot.
{% endhint %}

***

### Estimation of AI-engaged time per employee

The system estimates the AI-engaged time per employee using **15-minute intervals** or buckets.

* Any use or interaction with an AI tool within a 15-minute bucket counts as 15 minutes of AI-engaged time.
* Multiple interactions with AI in the same interval still count as one 15-minute bucket.

Therefore, brief or occasional use of AI tools could add up to a significant weekly total—see the **example below**.

{% hint style="info" %}
The **15-minute intervals** are designed to capture employees' adoption and integration of AI into their daily work, rather than a precise minute-by-minute usage of AI tools.
{% endhint %}

<div align="left"><figure><img src="/files/LxjUV0AmaABD3VtMYXQq" alt="" width="563"><figcaption></figcaption></figure></div>

***

### AI tool visualizations and insights

AI Tools provides structured visibility into **AI adoption** through two dashboard types:

* The [AI Tools Overview](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-ai-adoption.md) dashboard, designed for IT leaders, AI-adoption teams and cross-functional stakeholders, presents organization-wide AI adoption and sentiment, including usage trends, benchmarks, time savings, employees' perceptions and **AI-powered insights**.
* [Tool-specific](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-ai-adoption.md#examining-the-adoption-of-a-specific-ai-tool) dashboards, aimed at product owners or enablement teams, focus on an individual AI tool to provide detailed engagement per application, employee experience and interaction trends to support tool-level adoption—including **AI-powered recomendations** and employee feedback analysis.

Together, these views help identify blockers, drive both strategic oversight and operational enablement for AI transformation—including the enhancement of [employee experience with AI tool&#x73;**.**](/platform/user-guide/ai-tools/working-with-ai-tools/monitoring-employee-experience-with-ai-tools.md)

{% 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.
{% endhint %}

<figure><img src="/files/1DTSrync36ZRcES2DVxo" alt=""><figcaption></figcaption></figure>


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