Responsible AI Policy Implementation
Turn AI Policy
into Practice
Easily enforce responsible AI standards through automated testing, monitoring, and policy alignment.
Policy Aligned Risk Management
Manage an inventory of your AI systems in compliance with NIST AI RMF, ISO 42001, CHAI, and more.
Each managed AI system has:
Risk Manager
Availability
Risk Level (EU, FDA)
Checkpoints
Lifecycle Stage (CHAI)
Keywords
Regulatory Approval Stage
Documents
The CHAI Model Card
Each system has an always-up-to-date CHAI (Coalition for Health AI) model card, that complies with ONC HTI-1 and CA AB 2013.
Model cards are generated privately and locally. No data is shared outside your network.
Model card content can be generated automatically using an LLM on uploaded docs (PDF, DOCX, PPTX, HTML, TXT).
Defining and Running LLM Test Suites
Each system's ‘Key Metrics' section is filled by running test suites that are:
Executable | Reproducible | Versioned | Publishable
Three test engines are available to run tests - interactively, by API, or as part of your CI/CD pipeline - to cover all types of required AI testing:
1Usefulness & Efficacy, including MedHELM benchmarks
2Red Teaming, from general to medical safety & ethics
3Robustness & Bias, using LangTest for auto-generated test cases
Role-Based Access, Versioning, and Audit Trails
A system's risk manager can define many test suites:
Compare versions
Compare environments
Compare competing LLMs
They can also save a new version of a model card.
But only an AI Governance Officer can publish a model card externally, or change a project's lifecycle stage.
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