> For the complete documentation index, see [llms.txt](https://documentations.seclea.com/nist-ai-risk-management-framework/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentations.seclea.com/nist-ai-risk-management-framework/map-1-ai-application-context/map-1.3-ais-business-value.md).

# MAP 1.3 - AI's Business Value

NIST AI RMF (in the playbook companion) states:

> ### MAP 1.3 
>
> The business value or context of business use has been clearly defined or – in the case of assessing existing AI systems – re-evaluated. 
>
> <details>
>
> <summary><strong>About</strong></summary>
>
> AI systems should present a business benefit beyond the status quo when considering inherent risks and implicit or explicit costs. Defining and documenting the specific business purpose of an AI system in a broader context of societal values helps teams to evaluate risks and increases the clarity of “go/no-go” decisions about whether to deploy.
>
> </details>
>
> <details>
>
> <summary><strong>Actions</strong></summary>
>
> * Build transparent practices into AI system development processes.
> * Review the documented system purpose from a socio-technical perspective and in consideration of societal values.
> * Determine possible misalignment between societal values and stated organizational principles and code of ethics.
> * Flag latent incentives that may contribute to negative impacts.
> * Balance AI system purpose with potential risks, societal values, and stated organizational principles.
>
> </details>
>
> <details>
>
> <summary><strong>Transparency and Documentation</strong></summary>
>
> **Organizations can document the following:**
>
> * How does the AI system help the entity meet its goals and objectives?
> * How do the technical specifications and requirements align with the AI system’s goals and objectives?
> * To what extent is the output appropriate for the operational context?
>
> </details>