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As AI becomes embedded in business processes and products, effective governance is critical to managing risk and meeting stakeholder expectations for oversight, accountability, and transparency. CohnReznick’s ISO/IEC 42001 readiness assessment identifies governance and control gaps and provides a practical roadmap for responsible AI.
Turn AI governance into a business advantage
ISO/IEC 42001 helps organizations establish accountable, scalable AI governance aligned with business objectives, regulatory expectations, and stakeholder needs, enabling them to manage risk and innovate responsibly.
CohnReznick’s readiness assessment evaluates how effectively your organization governs and manages AI against ISO/IEC 42001 requirements and leading practices. The assessment helps you identify priorities, strengthen oversight, and prepare for future certification activities.
Benefits
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- Evaluate AI-related policies, processes, risk management practices, and operational controls
- Identify governance gaps, risks, and improvement opportunities
- Measure your organization’s readiness to manage AI consistently
- Receive recommendations aligned with ISO/IEC 42001 requirements
- Develop a practical roadmap for strengthening AI lifecycle management
- Prepare the controls and documentation needed to support certification readiness
- Build confidence with customers, regulators, business partners, and other stakeholders
Identify hidden compliance gaps, control shadow AI, and prepare for future certification.
Our assessment examines six interconnected areas that support effective, accountable, and sustainable AI governance.
- AI governance policies, standards, and decision-making frameworks
- Executive sponsorship, oversight structures, and reporting mechanisms
- Defined roles, responsibilities, and accountability for AI systems
- Alignment of AI objectives with business strategy and risk appetite
- AI risk identification, assessment, prioritization, and mitigation
- Risk treatment, monitoring, and escalation procedures
- Controls addressing model, operational, compliance, and reputational risk
- Ongoing evaluation of emerging AI risks and business impacts
- Data quality, integrity, accuracy, and suitability for AI use cases
- Privacy, confidentiality, and regulatory compliance considerations
- Access controls, security safeguards, and data protection practices
- Data lineage, provenance, retention, and traceability
- Controls across AI design, development, testing, deployment, and monitoring
- Model validation, performance testing, and quality assurance
- Monitoring for model drift, effectiveness, and unintended outcomes
- Change management and controls for AI system updates
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- Evaluation of third-party AI vendors, models, and platforms
- Contractual, regulatory, and service-level requirements
- Data ownership and intellectual property protections
- Monitoring of third-party performance and risk
- Policies, assessments, and operational procedures
- Evidence supporting effective control design and operation
- Documentation aligned with ISO/IEC 42001 requirements
- Materials supporting audit and certification readiness
What you will receive
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- Executive summary: A high-level overview of your current AI governance practices, key risks, and organizational readiness.
- Gap analysis: An assessment of current capabilities against ISO/IEC 42001 requirements, including compliance gaps and improvement opportunities.
- Maturity scorecard: A benchmark of governance, risk, security, compliance, and operational maturity across key AI domains.
- Prioritized roadmap: Risk-based recommendations and actionable next steps for strengthening AI governance and advancing compliance.
- Certification readiness plan: A structured path toward ISO/IEC 42001 readiness, including required controls, documentation, remediation priorities, and certification preparation activities.
Take the first step toward trusted AI
Assess your readiness, strengthen stakeholder confidence, and build a practical roadmap for responsible AI governance.
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Any advice contained in this communication, including attachments and enclosures, is not intended as a thorough, in-depth analysis of specific issues. Nor is it sufficient to avoid tax-related penalties. This has been prepared for information purposes and general guidance only and does not constitute legal or professional advice. You should not act upon the information contained in this publication without obtaining specific professional advice specific to, among other things, your individual facts, circumstances and jurisdiction. No representation or warranty (express or implied) is made as to the accuracy or completeness of the information contained in this publication, and CohnReznick, its partners, employees and agents accept no liability, and disclaim all responsibility, for the consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it.