The Complete AI Compliance Checklist for 2025
A practical, regulation-mapped checklist covering all 7 governance domains required by TRAIGA, the EU AI Act, NIST AI RMF, ISO 42001, and state AI laws. Use it to audit your program, close gaps, and generate documentation automatically with Risk Meridian.
Why AI Compliance Can't Be Improvised
Regulatory enforcement is accelerating. Organizations that treat AI compliance as an afterthought face escalating legal, financial, and reputational consequences.
$30M
Max EU AI Act penalty
- or 6% of global annual turnover for high-risk AI non-compliance
2025
TRAIGA enforcement begins
- Texas organizations must be compliant before enforcement kicks in
73%
of auditors cite documentation gaps
- as the #1 reason AI governance programs fail regulatory review
4×
faster with a platform
- vs. building and maintaining compliance documentation manually
The 7-Domain AI Compliance Checklist
Every item is mapped to a specific regulation. Items marked ★ Required are mandatory under at least one active law.
AI System Inventory
Document every AI system your organization develops, deploys, or uses in consequential decisions.
- Maintain a centralized register of all AI systemsRequired
- Document the purpose and use case of each systemRequired
- Record the vendor, developer, and deployment dateRequired
- Classify each system by risk level (Low / Moderate / High)Required
- Identify which decisions each system influencesRequired
- Document data sources and training datasetsRequired
- Track system version history and change logBest practice
- Link each system to relevant regulatory obligationsBest practice
Risk Assessment
Evaluate the potential harms, biases, and failure modes of each AI system before and after deployment.
- Complete a pre-deployment risk assessment for every high-risk AI systemRequired
- Assess potential for discriminatory or biased outputsRequired
- Evaluate data privacy and security risksRequired
- Document residual risks and mitigation controlsRequired
- Assign risk owners for each identified riskRequired
- Schedule periodic risk reassessments (at least annually)Required
- Perform impact assessments when systems are significantly updatedBest practice
- Document third-party and vendor AI riskBest practice
Governance Controls
Implement policies, procedures, and technical safeguards that govern how AI systems operate.
- Establish a written AI governance policyRequired
- Assign accountability for each AI systemRequired
- Implement human oversight mechanisms for high-risk decisionsRequired
- Create override and intervention proceduresRequired
- Define acceptable use policies for AI toolsRequired
- Conduct regular staff training on AI governance obligationsRequired
- Set up access controls for AI system configurationBest practice
- Establish a model validation and testing protocolBest practice
Transparency & Disclosure
Notify individuals when AI influences decisions that affect them and document your AI use publicly.
- Publish a public AI use disclosure on your websiteRequired
- Notify individuals when AI is used in consequential decisionsRequired
- Provide plain-language explanations of AI decision factorsRequired
- Offer a process for individuals to appeal AI-influenced decisionsRequired
- Disclose AI use in hiring, lending, and healthcare contextsRequired
- Maintain up-to-date disclosures when AI systems changeRequired
- Publish a board-level AI governance statementBest practice
- Disclose AI training data sources on requestBest practice
Incident Management
Log, investigate, and remediate AI failures, unexpected outputs, and adverse events.
- Maintain a formal AI incident logRequired
- Define incident severity classification criteriaRequired
- Establish escalation paths for high-severity incidentsRequired
- Conduct root-cause analysis on all significant incidentsRequired
- Implement corrective actions and track to closureRequired
- Report serious incidents to relevant regulators where requiredRequired
- Share learnings across the organizationBest practice
- Track near-misses in addition to actual incidentsBest practice
Documentation & Audit Trail
Maintain records that demonstrate compliance — the foundation of any regulatory audit.
- Retain risk assessment records for at least 3 yearsRequired
- Keep audit trails of AI system changes and updatesRequired
- Document board and executive sign-offs on AI governanceRequired
- Store evidence of employee training completionsRequired
- Maintain vendor contracts and third-party AI agreementsRequired
- Produce compliance reports on a defined scheduleRequired
- Generate board-ready AI governance summary reportsBest practice
- Prepare for regulatory audits with pre-built evidence packagesBest practice
Ongoing Monitoring
Continuously track AI system performance, drift, and compliance posture after deployment.
- Monitor AI system outputs for accuracy and bias driftRequired
- Track control completion rates and overdue itemsRequired
- Review and update the AI risk register at least annuallyRequired
- Measure and report governance maturity score over timeRequired
- Conduct periodic internal audits of the AI governance programRequired
- Stay current on regulatory changes and update controls accordinglyRequired
- Benchmark against peer organizations and industry standardsBest practice
- Report governance metrics to board or audit committeeBest practice
Stop tracking this in a spreadsheet.
Risk Meridian automatically creates these checklist items for every AI system you add, assigns owners, tracks due dates, and generates audit-ready evidence — all mapped to the specific regulations that apply to you.
Start Tracking NowRegulations Covered by This Checklist
Each checklist item is tagged to the specific law or framework that mandates it.
Texas Responsible AI Governance Act
State law requiring AI inventory, risk assessments, human oversight, disclosures, and incident management for organizations using AI in consequential decisions affecting Texas residents.
EU Artificial Intelligence Act
The world's first comprehensive AI law, creating four risk tiers with binding obligations for high-risk AI systems including documentation, testing, human oversight, and transparency requirements.
NIST AI Risk Management Framework
Voluntary federal framework organizing AI risk management into four functions: Govern, Map, Measure, Manage. Increasingly referenced in government contracts and sector-specific regulation.
ISO/IEC 42001
The international standard for AI management systems. Certifiable by accredited auditors. Provides a structured framework for integrating AI governance into existing management systems.
California AI Transparency Act
California's disclosure requirements for automated decision-making, AI in employment, and consumer-facing AI interactions.
Colorado Artificial Intelligence Act
Colorado's law requiring developers and deployers of high-risk AI to implement risk management programs, conduct impact assessments, and notify consumers about AI use in consequential decisions.
How Risk Meridian Automates This Entire Checklist
Instead of manually tracking 56 checklist items across a spreadsheet, Risk Meridian creates, assigns, and monitors every control for you — automatically, as you build your AI inventory.
Try Risk Meridian- 1
Add your AI systems
Import or manually add every AI system your organization uses. Risk Meridian classifies risk levels automatically based on use case and decision type.
See AI System Inventory → - 2
Controls are created automatically
Based on each system's risk level and applicable regulations, Risk Meridian generates the exact compliance controls from this checklist — pre-mapped to TRAIGA, EU AI Act, and NIST AI RMF.
Learn about Controls → - 3
Assign owners and track progress
Assign controls to team members, set due dates, and track completion. Overdue items are flagged automatically. Your governance maturity score updates in real time.
See the Dashboard → - 4
Generate audit-ready reports
Produce a compliance report, disclosure document, or board AI governance summary in one click. Every report is backed by the evidence your team has collected.
See Reports →
Frequently Asked Questions
- What is an AI compliance checklist?
- An AI compliance checklist is a structured list of requirements your organization must meet to comply with AI regulations such as the Texas Responsible AI Governance Act (TRAIGA), EU AI Act, NIST AI RMF, and ISO 42001. It covers areas including AI system inventory, risk assessment, governance controls, transparency disclosures, incident management, documentation, and ongoing monitoring. A compliance checklist helps you identify gaps, assign ownership, and track progress toward a fully audit-ready AI governance program.
- Is TRAIGA compliance required for my organization?
- TRAIGA applies to organizations that deploy AI systems to make or assist in consequential decisions affecting Texas residents — including decisions about employment, credit, housing, healthcare, and education. If your organization uses AI in any of these contexts and operates in or serves people in Texas, you are likely subject to TRAIGA's requirements. The law covers both developers and deployers of AI systems, including organizations that use third-party AI tools.
- How long does it take to complete an AI compliance checklist?
- Timeline depends on the size of your AI portfolio and the maturity of your existing governance program. Organizations starting from scratch typically take 4–12 weeks to complete an initial compliance assessment and build foundational documentation. Using a purpose-built platform like Risk Meridian can reduce this to as little as 1–2 weeks by automating risk classification, generating policy templates, and auto-creating governance controls based on your AI system inventory.
- What happens if we fail an AI compliance audit?
- Consequences vary by regulation. Under TRAIGA, non-compliant organizations may face enforcement actions from the Texas Attorney General, including fines and required remediation plans. Under the EU AI Act, penalties for high-risk AI non-compliance can reach €30 million or 6% of global annual turnover. Beyond legal penalties, regulatory findings are often public and can damage customer trust, trigger insurance issues, and invite class-action litigation. The best defense is a documented, auditable compliance program.
- Can I use a spreadsheet for AI compliance tracking?
- Spreadsheets can work for very small AI portfolios, but they break down quickly. They lack audit trails, version control, role-based access, automated reminders for overdue controls, and the ability to generate regulatory-formatted reports. As your AI footprint grows and regulations multiply, spreadsheet-based tracking creates significant audit risk. Purpose-built AI governance platforms like Risk Meridian provide the documentation depth, access controls, and reporting capabilities that regulators expect.
- Does this checklist cover the EU AI Act?
- Yes. The checklist covers all seven governance categories required by the EU AI Act for high-risk AI systems: risk management (Category 02), data governance, technical documentation (Category 06), transparency and user information (Category 04), human oversight (Category 03), accuracy and robustness monitoring (Category 07), and incident reporting (Category 05). Risk Meridian maps each control to the specific EU AI Act article it satisfies, making cross-regulation compliance straightforward.
- How does Risk Meridian help with this checklist?
- TRAIGA automatically creates governance controls based on your AI system inventory and risk level. When you add an AI system and classify it as high-risk, the platform generates the full set of required checklist items, assigns owners, sets due dates, and tracks completion. You can generate audit-ready compliance reports, disclosure documents, and board reports in minutes. The platform maps every control to the specific regulation it satisfies — TRAIGA, EU AI Act, NIST AI RMF, ISO 42001, and more.
Ready to check off every item?
Risk Meridian generates and tracks all 56 checklist items automatically. Most teams complete their first AI compliance assessment in under 2 hours.