What Is an AI Use Case Workflow? How Governance Teams Structure AI Intake and Review
When a business team wants to deploy an AI system, something has to happen before it goes live. That something is an AI use case workflow. This piece defines what it is, what it needs to include, and how to build one that doesn’t collapse under the weight of enterprise AI adoption. What is an […]
The Insurance Risk Assessment Process: What AI Changes for Governance Teams
Insurance risk assessment has a well-established process. AI is disrupting it in two directions at once: making risk analytics faster while creating a new category of risk that must be governed. This piece is for the professionals managing both sides of that equation. The standard five-step process isn’t the subject. What AI changes about it […]
How to Build an Effective AI Governance Framework
An AI governance framework is the structured system of policies, processes, roles, and controls that guides how an organization develops, deploys, and oversees AI systems. It connects governance strategy to operational execution: intake workflows, risk assessments, compliance mappings, and audit trails. This piece is for the risk and compliance professional who has a mandate and […]
How to Prepare for an AI Audit in 9 Strategic Steps
Organizations that scramble to prepare for AI audits have the same underlying problem: governance was claimed, not built. This piece is for the compliance and risk professionals who want audit readiness to be a byproduct of their ongoing governance program, not a separate sprint. The structure is here. The documentation requirements are clear. What follows […]
5 Leading AI Governance Frameworks Every Organization Should Know
Most enterprise organizations don’t face one AI governance framework. They face several simultaneously, each with different requirements, different jurisdictions, and different documentation obligations. This piece is for the compliance and risk professionals who need to understand which frameworks apply to their organization and how to govern across all of them without building separate programs for […]
AI Governance Frameworks: NIST AI RMF, EU AI Act, and ISO 42001 Compared
Most enterprise AI programs are now operating under pressure from at least three directions simultaneously: a mandatory EU regulation with significant penalties, a U.S. framework that federal agencies and enterprise customers increasingly expect, and an international standard that procurement teams are starting to require. The organizations that manage this well aren’t running three separate compliance […]
Healthcare Regulation of AI: A Comprehensive Overview
AI in healthcare isn’t starting from a regulatory vacuum. It’s starting from an environment that already treats digital tools as safety‑critical: medical device rules, clinical trial regulations, GxP controls, HIPAA and GDPR, and payer oversight all assume that failing systems can directly harm patients or distort evidence. That makes healthcare one of the few sectors where AI is being plugged into dense, pre‑existing regulatory schemas rather than waiting for AI‑specific laws to catch up.
Everything You Need to Know about California’s New AI Laws
The California legislature has concluded another AI-inspired legislative session, and Governor Gavin Newsom has signed (or vetoed) bills that will have new impacts on the AI ecosystem. By our analysis, California now leads U.S. states in rolling out the most comprehensive set of targeted AI regulations in the country — but now what? The dominant […]
Should the EU “Stop the Clock” on the AI Act?
The European Union (EU) AI Act became effective in August 2024, after years of negotiations (and some drama). Since entering into force, the AI Act’s implementation has been somewhat bumpy. The initial set of obligations for general-purpose AI (GPAI) providers took effect in August 2025 but the voluntary Code of Practice faced multiple drafting delays. The finalized version was released with less than a month to go before GPAI providers needed to comply with the law.