# AI Readiness

AI Readiness is your organization's ability to safely, compliantly, and productively build, ship, and operate AI systems, scaling value while minimizing risks.

<figure><img src="https://3697593298-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F7F1UMLUuX7dkA693DijO%2Fuploads%2FqUBGnGSEYbWRmkNfn7Oo%2Fmcp-ai.jpg?alt=media&#x26;token=563ff385-b4dd-4ff2-92d8-8b59991088e5" alt="Use Cortex MCP as part of your AI adoption efforts." width="563"><figcaption></figcaption></figure>

### How Cortex helps with AI Readiness

Your organization can drive AI Readiness with Cortex by:

* Establishing the foundations for safe AI adoption with clear ownership, strong testing, and secure CI/CD processes
* Using Scorecards to ensure that services have foundational software engineering practices in place to safely and effectively adopt AI technologies
* Configuring Workflows to turn readiness into the default - scaffold new AI services with required docs and runbooks
* Using Cortex MCP, a tool that enables engineers to query information in natural language and receive quick answers. It uses relevant context from your Cortex workspace, ensuring awareness of your system's structure when answering your questions.
* Reviewing Eng Intelligence metrics to track progress relating to AI tool usage

## Drive AI Readiness in Cortex

Learn how to use Cortex features to drive AI Readiness: [**Automate AI Readiness**](https://docs.cortex.io/solutions/ai-readiness/configure).

Learn about maintaining and continuously improving your AI initiatives: [**AI Readiness in action**](https://docs.cortex.io/solutions/ai-readiness/in-action).


---

# 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://docs.cortex.io/solutions/ai-readiness.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.