# System evaluation
<a name="raier01"></a>


| RAIER01: How will you evaluate the AI system against your release criteria? | 
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 Test system performance against the release criteria to determine if benefits and risks are addressed. Consider double checking your evaluations with evaluations by experts outside your team. Identify steps to address each criterion that is not met, modifying transparency solutions as appropriate. To reach a release decision, establish a methodology for combining the results for each release criterion. 

**Topics**
+ [RAIER01-BP01 Validate that release criteria still align with current industry standards](raier01-bp01.md)
+ [RAIER01-BP02 Independently corroborate more critical and subjective evaluations](raier01-bp02.md)
+ [RAIER01-BP03 For each system update, re-run the evaluation and update the system registry](raier01-bp03.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS Well-Architected. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query wellarchitected` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).