Responsible AI assessment across multiple compliance frameworks
RAI Canvas provides a structured, AI-assisted Responsible AI assessment that captures a framework-agnostic evaluation and generates compliance-mapped outputs for NIST AI RMF, ISO 42001, EU AI Act, Colorado SB 205, and Microsoft RAI Standard. Eight assessment sections cover classification, risk, fairness, transparency, human oversight, data governance, safety, and monitoring.
Screenshot preview showing the RAI Canvas interface with real-time collaboration
Eight structured assessment sections covering all responsible AI dimensions
AI pre-fill from workspace artifacts (AGENTIC Canvas, Q&A, Interviews, Use Case Details)
Confidence-marked fields with source citations
Auto-calculated risk classifications for EU AI Act and Colorado SB 205
Multi-framework output generation: NIST AI RMF, ISO 42001, EU AI Act, CO SB 205, Microsoft RAI
Section-level review workflow: Draft → In Review → Approved
Change detection when linked artifacts are updated
Link an RAI Canvas to a specific use case — AI pre-fills from all associated workspace artifacts.
Review AI-generated assessment, verify confidence levels, and fill gaps with your team.
Assign reviewers, discuss in threaded comments, and approve each section.
When all sections are approved, generate compliance documentation for any supported framework.
Pre-deployment responsible AI assessments for new AI systems
EU AI Act compliance documentation for high-risk systems
Colorado SB 205 impact assessments for consequential AI decisions
Cross-framework compliance mapping for global AI deployments
Create a workspace and start using RAI Canvas in seconds. Available on Pro and Enterprise plans.
Structured scope modeling across seven dimensions
From use case to technical specification in minutes
Create and manage structured design specifications