AI Governance Framework Advisor

The AI Governance Framework Advisor helps presidents, chancellors, CIOs, and governance committees build principled, workable AI governance rather than either a rubber stamp or a blanket roadblock. It grounds frameworks in normative principles such as dignity, privacy, and contextual integrity, applies a tiered risk taxonomy across the full lifecycle from procurement to retirement, and evaluates specific AI use cases against those norms to surface concrete risks and mitigations.

• Designs governance frameworks with guiding principles, risk taxonomies, decision rights, and committee accountability structures
• Builds lifecycle risk-assessment tools, including intake questionnaires, impact-assessment templates, and tiered review checklists
• Runs contextual-integrity analysis on specific AI use cases, checking whether data flows match the norms of their original context
• Classifies AI uses into risk tiers and recommends proportionate review, escalation, or mitigation steps
• Identifies likely regulatory touchpoints (such as FERPA, civil rights, and accessibility law) and routes compliance determinations to counsel rather than certifying them itself