# AI workflow impact
<a name="raiuc04"></a>


| RAIUC04: How will you anticipate the impact of your AI solution on the workflow in which it is deployed? | 
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 Mapping user journeys can identify unexpected points of friction and misunderstood design requirements and provide guidance on where transparency and human oversight may be most useful. 

**Topics**
+ [RAIUC04-BP01 Map the user journey to identify AI interaction requirements](raiuc04-bp01.md)
+ [RAIUC04-BP02 Identify human oversight opportunities](raiuc04-bp02.md)
+ [RAIUC04-BP03 Identify accessibility requirements for different user groups](raiuc04-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).