> For the complete documentation index, see [llms.txt](https://documentations.seclea.com/iso-ai-risk-management/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentations.seclea.com/iso-ai-risk-management/ai-maintainability-aim.md).

# AI Maintainability (AIM)

Maintainability refers to an organization's capacity to handle modifications made to an AI system in order to fix bugs or adapt to new requirements. This ability is related to maintainability. It is necessary to conduct research into both the maintainability of AI systems and the implications of such systems because AI systems that are based on ML require training and do not use a rule-based approach.

Controls related to this risk category are listed as below:

* AIM 01 - AI Maintainability Strategy&#x20;
* AIM 02 - Measurable Continuous Improvements&#x20;
* AIM 03 - Sustained Value Mechanism&#x20;
* AIM 04 - AI Deactivation Mechanism


---

# 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://documentations.seclea.com/iso-ai-risk-management/ai-maintainability-aim.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.
