> For the complete documentation index, see [llms.txt](https://opora.gitbook.io/opora-health-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opora.gitbook.io/opora-health-documentation/opora-core-for-health-ai-funding/ai-risk-management-and-mitigation-evidence.md).

# AI risk management and mitigation evidence

For Health AI, you are expected to show **how you identify risks early and what you do when something goes wrong**.

#### What you need to show

* What could realistically go wrong with your AI system.
* Which risks matter most at your current stage.
* What technical or organisational measures are in place to address them.
* How you know whether those measures are working.

#### How OPORA Core supports this

OPORA Core includes:

* Structured workflows to identify and categorise AI, data, and regulatory risks.
* Clear links between risks and the controls that address them.
* Ongoing monitoring of risk indicators rather than one-off assessments.
* A record of risk reviews and mitigation actions over time.

This allows you to show that risk management is part of daily operations.