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AI Governance Resources

AI Governance & Compliance Guides and Resources

Practical guides on TRAIGA compliance, AI risk registers, governance policies, healthcare AI oversight, EU AI Act readiness, and building defensible AI governance programs. Written by AI governance practitioners, not consultants.

TRAIGA ComplianceAI Risk RegisterHealthcare AIEU AI ActAI Governance PoliciesNIST AI RMFAI Maturity

Featured article

FeaturedAI Governance Fundamentals

What Is AI Governance? A Practical Guide for Organizations

AI governance is the set of policies, processes, and controls that organizations put in place to use their AI systems responsibly, transparently, and in line with applicable regulations. This guide explains what AI governance means in practice — and why it now carries real legal exposure for many organizations.

AI governanceAI complianceresponsible AIAI risk management
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Author

Risk Meridian Platform Team

AI Governance Specialists

Published

March 1, 2025

Reading time

12 min read

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Regulatory Guides

TRAIGA Compliance Guide: Everything Texas Organizations Need to Know

The Texas Responsible AI Governance Act (TRAIGA), in force January 1, 2026, is an intent-based law: it prohibits specific harmful AI uses and is enforced by the Texas Attorney General. It does not impose a general inventory-and-disclosure mandate on private companies. This guide covers who it applies to, what it actually prohibits, the real enforcement and penalty structure, and how a documented governance program keeps you defensible.

TRAIGATexas AI lawAI compliance
18 min read
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Templates & Tools

AI Risk Register Template: What to Include and How to Build One

An AI risk register is the foundation of any AI governance program. This guide explains what an AI risk register is, what fields make it defensible, how to structure risk classifications, and how to keep the register current as your AI portfolio grows.

AI risk registerAI system inventoryAI governance template
10 min read
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Templates & Tools

AI Governance Policies Explained: The 5 Documents Every Organization Needs

A mature AI governance program is usually built on five core policy documents: AI Use Policy, AI Risk Management Policy, AI Incident Response Policy, AI Data Governance Policy, and Vendor AI Policy. This guide explains what each policy should cover, why each is a best practice (not a TRAIGA mandate), and how to generate them without starting from scratch.

AI governance policyAI policy templateAI use policy
14 min read
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Healthcare AI

Hospital AI Oversight Requirements: What Healthcare Organizations Must Do Now

Clinical AI is proliferating faster than hospital governance programs can track. This guide covers what the TRAIGA healthcare disclosure duty, SB 1188, CMS, The Joint Commission, and state health regulators expect from hospitals using AI in clinical workflows — and how to build an AI oversight program that supports compliance across all of them.

hospital AI governanceclinical AI oversighthealthcare AI compliance
16 min read
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Regulatory Guides

How to Prepare for the EU AI Act: A Practical Readiness Guide

The EU AI Act is the world's most comprehensive AI regulation. This guide explains the EU AI Act's risk-based classification system, which AI systems are high-risk, what documentation is required, the enforcement timeline, and how organizations already working on TRAIGA compliance can leverage their existing governance program to close the gap.

EU AI ActEU AI regulationAI compliance
20 min read
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AI Governance Fundamentals

AI Governance Maturity Model: Where Does Your Organization Stand?

Most organizations think their AI governance is better than it is. This guide introduces a practical AI governance maturity model — four stages from Developing to Advanced — explains what distinguishes each stage, and provides a self-assessment framework for identifying where your program has gaps.

AI governance maturityAI governance assessmentgovernance maturity score
11 min read
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