Regulatory research
Analyze national and international AI policy frameworks including the EU AI Act, NIST AI RMF, and OECD AI Principles to determine organizational compliance obligations
Policy drafting
Develop organizational AI governance structures including appropriate oversight committees, risk classification systems, decision rights, and clear accountability frameworks
Risk classification
Conduct comprehensive AI regulatory compliance assessments mapping all organizational AI deployments against applicable legal, regulatory, and policy requirements
Compliance mapping
Design AI risk management frameworks that classify AI systems by risk level and prescribe proportionate, evidence-based governance controls and oversight mechanisms
Stakeholder advisory
Monitor evolving AI policy landscapes proactively to identify regulatory changes that will affect organizational AI strategy, operations, and product development
Ethics frameworks
Engage with regulatory bodies, industry associations, and policy forums to represent organizational interests constructively in AI governance development processes
Governance structures
Develop AI transparency and disclosure policies that fully satisfy regulatory requirements for explainability, algorithmic auditing, and stakeholder communication
Audit preparation
Assess geopolitical and sector-specific AI policy risks that may affect global AI deployments, cross-border data flows, and international organizational operations
Legal coordination
Implement AI incident reporting and response protocols that satisfy regulatory notification requirements and meet organizational stakeholder communication expectations
Reporting systems
Translate AI policy and governance requirements into practical operational procedures, targeted training programs, and enforceable technical control implementations