How to run AI governance at scale
A practical guide for compliance officers, general counsel, GRC teams, and risk managers navigating the operational realities of enterprise AI governance. Questions every compliance team needs to answer.
Not sure where to start? Answer 3 questions and get a tailored compliance action plan.
What applies to me? →Do we have a complete AI inventory?
Building and maintaining a centralized registry of every AI tool in use, including shadow AI discovered through procurement, network, and employee channels.
How do we build and maintain an AI model registry?
A model registry is the operational backbone of AI governance: it tracks what models are in production, who owns them, what data they were trained on, what their risk classification is, and when they were last reviewed.
What does audit-ready AI documentation look like in practice?
Organizations facing regulatory scrutiny, board inquiries, or litigation need to produce evidence that AI systems were built, deployed, and monitored responsibly. Audit readiness is not a documentation exercise. It is an evidence-management discipline built into the AI lifecycle.
How do we build an AI governance program from scratch?
A sequenced guide to standing up an AI governance program — from initial inventory through ongoing operations — for organizations that are starting with nothing.
What AI documentation do we actually need?
A practical guide to which AI documentation is legally required, which is best practice, and which is unnecessary overhead — organized by risk tier.
What do we do when an AI system causes harm or fails?
A structured incident response process for AI failures — from initial detection through containment, root cause investigation, regulatory notification, and prevention.
How do we govern AI models from preview release through retirement?
A lifecycle governance framework covering every stage of an AI model's production life — from evaluating preview releases, through controlled promotion to general availability, to scheduled re-assessment triggers and formal retirement.
New guidance, every week
We publish practical guidance as governance questions come up in the field — plus everything else changing in AI regulation. Every Thursday.