Case study · work product
Risk AI Council
An AI-risk assessment and learning product. I designed the assessment structure, six-category model, website and launch story.
The product loop. Six risk categories organise the assessment and the learning programs. Each category maps back to NIST AI RMF or the EU AI Act.
the problem.
NIST AI RMF and the EU AI Act explain responsible AI in policy language. Product teams still need to turn that guidance into decisions they can make during normal work.
The product had to translate frameworks into clear questions, then connect each weak area to something useful to learn.
what it is.
Risk AI Council groups AI risk into six categories. Teams complete an assessment, see their gaps and move into the matching learning program.
The structure uses two references:
- NIST AI RMFThe US National Institute of Standards and Technology's voluntary framework for identifying and managing risk across an AI system's life cycle.
- EU AI ActThe European Union's regulation of AI systems, which sorts them into risk tiers and attaches obligations to each tier.
The private assessment content, internal figures and customer information are not shown.
what I owned.
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01
Target users
Defined who should take the assessment and what level of language they needed.
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02
Launch messaging
Wrote the launch story in plain language instead of repeating regulation text.
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03
Site structure
Designed the website and ordered the path from problem to assessment to learning.
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04
Learning programs
Built a learning program for each category using the same language as the assessment.
how it works.
The flow is short: six categories → assessment → matching learning program.
The same categories organise the questions, website and learning content. That kept the product consistent and made every category traceable to a reference framework.