# Risk analysis and business value

Dastra offers you the opportunity to carry out a risk analysis of your AI systems. In this part of the form, you can assign one of 4 risk levels to each system. These risk levels have been defined by the IA Act and are classified from minimal to unacceptable risk. We recommend that you add a description to justify the system's risk.

{% hint style="info" %}
If you declare that you are a **deployer of an AI system** and that this system is classified as **high-risk**, in accordance with Article 27 of the European Artificial Intelligence Regulation (AI Act), you are required to carry out a [**fundamental rights impact assessment**](/en/features/ai-systems/fundamental-rights-impact-assessment-for-high-risk-ai-systems.md) before putting the system into service.
{% endhint %}

<figure><img src="/files/ifPFQoGGaEU8gp9jQESP" alt=""><figcaption><p>Risk analysis of an AI System</p></figcaption></figure>

The next section of the form will ask you to define the added value of the AI system. Here, you have to choose between 3 levels of value, ranging from low to high. You can justify this value by describing what the system brings to your organization, such as performance gains or risk minimization.

<figure><img src="/files/8LMRqrKEIpcfKAVuutcu" alt=""><figcaption><p>Business value adde from an AI System</p></figcaption></figure>

Completing these two sections will enable you to see directly whether this use of AI represents an opportunity or a risk for you. A system with high risk and low added value may not be worth maintaining.


---

# 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://doc.dastra.eu/en/features/ai-systems/risk-analysis-and-business-value.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.