> ## Documentation Index
> Fetch the complete documentation index at: https://ainative.engineering/llms.txt
> Use this file to discover all available pages before exploring further.

# AI-Native Maturity Model

> Assess your organization's AI-Native engineering maturity

The AI-Native Engineering Maturity Model helps organizations understand where they are on their journey and what steps to take next.

## Maturity Levels

<AccordionGroup>
  <Accordion title="Level 1: AI-Curious">
    **Characteristics:**

    * Individual developers experimenting with AI tools
    * No organizational strategy or guidelines
    * Ad-hoc usage of code completion tools

    **Next Steps:**

    * Establish AI tool policies
    * Begin tracking AI-assisted productivity
    * Encourage experimentation within boundaries
  </Accordion>

  <Accordion title="Level 2: AI-Assisted">
    **Characteristics:**

    * Organization has adopted AI coding assistants
    * Guidelines exist for AI tool usage
    * Human-driven development with AI support

    **Next Steps:**

    * Develop spec-driven practices
    * Train teams on effective AI collaboration
    * Establish quality gates for AI-generated code
  </Accordion>

  <Accordion title="Level 3: AI-Integrated">
    **Characteristics:**

    * AI is embedded in development workflows
    * Spec-driven development practices in place
    * Metrics track AI contribution to delivery

    **Next Steps:**

    * Implement agent-based workflows
    * Develop AI-specific testing strategies
    * Create feedback loops for AI improvement
  </Accordion>

  <Accordion title="Level 4: AI-Native">
    **Characteristics:**

    * Agents operate as team members
    * Continuous learning loops established
    * Human-AI collaboration is the norm

    **Next Steps:**

    * Optimize agent orchestration
    * Scale practices across organization
    * Contribute to AI-Native community
  </Accordion>

  <Accordion title="Level 5: AI-Leading">
    **Characteristics:**

    * Organization defines industry best practices
    * Advanced agent orchestration and autonomy
    * AI capabilities inform product strategy

    **Next Steps:**

    * Share learnings with the community
    * Push boundaries of human-AI collaboration
    * Shape the future of software development
  </Accordion>
</AccordionGroup>

***

## Assessment Dimensions

| Dimension      | Questions to Ask                                   |
| -------------- | -------------------------------------------------- |
| **Strategy**   | Is AI part of your engineering strategy?           |
| **Culture**    | Do teams embrace AI as collaborators?              |
| **Process**    | Are workflows designed for AI-human collaboration? |
| **Tools**      | What AI tools are adopted and integrated?          |
| **Skills**     | Are engineers trained in AI collaboration?         |
| **Governance** | How is AI usage monitored and governed?            |

***

## Take the Assessment

<Card title="AI-Native Maturity Assessment" icon="rocket" href="/resources/assessment">
  Discover your AI-native engineering archetype in 3 minutes — 15 behavioral questions, personalized results, and a shareable maturity card.
</Card>