ISO 42001 readiness assessment
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.
- 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
- 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
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
Risk-based recommendations and actionable next steps for strengthening AI governance and advancing compliance.
Executive summary
A high-level overview of your current AI governance practices, key risks, and organizational readiness.
Related services
Our solutions are tailored to each client’s strategic business drivers, technologies, corporate structure, and culture – addressing any industry-specific needs.