Working documents for governing AI in the real world
Research-backed field guides, control frameworks and audit-ready checklists. Built for teams that need to make decisions, assign owners and produce evidence—not skim another overview.
Enterprise AI Governance Framework
A practical, implementation-oriented framework for standing up and running enterprise AI governance. It defines the principles, lifecycle, control domains, operating model, and maturity path that let one program satisfy the NIST AI RMF, ISO/IEC 42001, and the EU AI Act at once.
AI Governance 101
An 18-page, evidence-led field handbook for building and operating AI governance: current regulatory timelines, decision rights, lifecycle gates, risk scoring, controls, evaluation, metrics, incident response, implementation plans, and primary sources.
EU AI Act High-Risk Readiness Checklist
A 55-action working checklist for preparing high-risk AI systems for the EU AI Act, updated for the Commission's May 2026 political agreement on the revised high-risk implementation timeline.