AI Operational Risk Assessment: A Modern Approach for Risk Managers
AI operational risk is the potential for loss or harm resulting from failures in AI systems, processes, people, or external events related to AI use. It fits within the broader operational risk category but has distinct characteristics that make standard frameworks insufficient on their own. This piece is for risk managers who know those frameworks […]
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 […]
How to Establish an Effective AI Governance Committee in 2026
An AI governance committee is a cross-functional group responsible for setting policies, managing risk, and providing oversight for an organization’s AI adoption. It’s the structure that turns ad hoc AI decisions into repeatable, auditable governance. This guide covers who should serve on the committee, what responsibilities it owns, how to draft a charter, and the […]
What Is an AI Governance Audit? Key Components and Process
An AI governance audit is a formal, structured review of whether an organization’s AI systems, and the policies, controls, and processes that govern them, conform to applicable laws, regulations, or standards. The output is a written opinion with pass/fail determinations that provides credible evidence to external stakeholders: regulators, customers, partners, and boards. That definition matters […]