Assess the risks of your AI use cases
Prioritize your AI use cases,
by risk exposure
For each use case, Mankinds brings together the applicable regulations, the requirements to meet and the risk level, from the design stage.
Faster AI decisions, on solid ground
Each use case gets a risk sheet built on the same criteria: your committee decides by comparing like with like.
Regulations, standards, internal policies, customer requirements: your teams know from the start what will need to be proven, and build it right the first time.
Legal, risk, product and engineering work from the same sheet, updated with every change to the use case: everyone shares the same view of risk, from scoping to production.
From use case to requirements, then to tests
Describe the use case
Its purpose, its users, its data and the tools it can act on.
Mankinds maps the framework
The applicable texts among 100+ built-in frameworks and your internal policies, article by article, and the resulting risk level.
Requirements become tests
Each requirement on behavior becomes a technical test, specific to your use case and reproducible: rerun, it gives the same result, thanks to a deterministic contextual evaluation method.
Agentic AI risks evolve every day,
so do your evaluations
New regulations, new guidance: Mankinds' monitoring keeps the built-in frameworks current. Rerun a use case's analysis and you see what changed, and what to cover.
The questions we get asked
Our lawyers already do this analysis.
Mankinds prepares the groundwork: texts, articles and requirements are gathered, and they review and decide.
Do you classify the risk level for us?
Mankinds proposes a reasoned classification; the decision stays with your teams.
What happens when the use case changes?
You rerun the analysis, and the tests follow.
Build trust with your AI
One use case, its applicable regulations and its risk sheet, ready for your next committee.