> For the complete documentation index, see [llms.txt](https://docs.alphageo.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.alphageo.ai/alphageo-platform/portfolio-analytics/remediation-checklist.md).

# Remediation Checklist

Use the Remediation Checklist to incorporate asset-level remediation measures into resilience-adjusted risk analysis. Your responses also help identify next steps for adaptation, as measures that are not yet implemented can be prioritized for future adaptation planning.

Watch the **guided demo** below to learn more (we recommend viewing this in **full-screen mode**).

{% hint style="info" %}
For methodological details on how asset-level remediations are used in our resilience-adjusted risk calculations, please see [Remediation Checklist: Quantifying Asset-level Adaptation](/methodology/methodology-docs/climate-risk-and-resilience-index-methodology/measuring-asset-resilience.md).
{% endhint %}

{% embed url="<https://demo.alphageo.ai/demo/cmp9ghura30goqmq62la2qn4r?utm_source=link>" %}


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# 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, and the optional `goal` query parameter:

```
GET https://docs.alphageo.ai/alphageo-platform/portfolio-analytics/remediation-checklist.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.