- GRC tool selection support: guidance on choosing and deploying the correct governance, risk and compliance tools for your AI environment
- AI policy creation: develop AI policies aligned with EU AI Act requirements, including quality management for high-risk AI systems
- AI-specific controls: develop controls based on approved AI policy and evolving risk management standards
- Risk and hazard identification: detect and address risks in your organization’s mission and operational role in AI
- Comprehensive risk mitigation planning: plan and monitor actions to address identified risks, ensuring alignment with strategic objectives
- Governance framework design: cover all AI and data life cycle stages, from conception to retirement
- Integration support: seamlessly connect AI governance processes with your existing IT and operational workflows, using a lean, adaptive approach
AI brings significant opportunities – but also ethical, operational and regulatory risks. You must ensure that your AI systems are safe, fair, transparent and compliant with emerging national and international standards, such as the EU AI Act and the NIST AI Risk Management Framework (RMF). Achieving this requires a structured, organization-wide governance model that spans design, development, deployment and ongoing monitoring.
We provide end-to-end technical advisory to help you understand regulatory expectations, assess risk, strengthen governance and align with global trustworthiness requirements. Our services support sectors where AI risk and regulation are rapidly evolving, including healthcare and MedTech, finance and insurance, mobility and critical infrastructure, and HR and legal.
Discover the benefits of AI governance technical advisory from SGS
- Define and align your goals
Classify AI objectives aligned with your organization’s mission.
- Reduce AI risks and impacts across your organization
Conduct risk and impact assessments for AI applications to identify and mitigate hazards.
- Make governance part of your operations and digital ecosystem
Integrate AI governance within your digital and operational processes for consistency and accountability.
- Enhance robustness, fairness and explainability
Define measurable KPIs for robustness, fairness and explainability to support trustworthy AI.
- Identify and close governance gaps
Perform gap analysis aligned with EU AI Act requirements and emerging risk management frameworks.
Explore our services
- AI architecture and system design review
Ensure compliance and resilience from foundation to deployment.
- Bias detection and mitigation
Reduce discrimination risks and improve fairness.
- Explainability and transparency audits
Build trust through clear, traceable and interpretable AI operations.
- Life cycle governance
Cover development, deployment and monitoring phases.
- AI system impact assessment: evaluate each AI system for trustworthiness, including bias, fairness, accuracy, robustness, safety, cybersecurity, privacy, transparency, explainability, human oversight and accountability
- Misuse and limitation analysis: identify foreseeable misuse and system limitations
- Technical KPI definition: set and monitor technical KPIs and thresholds tailored to each AI system’s purpose and risk profile
- Test plan development: create test plans to measure and address residual risks
- Third-party component review: conduct risk assessments and technical due diligence for third-party AI components
- Roles and responsibilities: define roles, responsibilities and decision-making processes for AI governance
- Third-party and vendor management: oversee external partners and vendors in line with your AI policy
- Change management: advise on change management and integration for AI systems
- AI model life cycle: guide the full life cycle, from appointment to retirement, including technical risk mitigation and third-party model considerations
- Initiative evaluation: score and prioritize AI initiatives, define KPIs and develop master risk mitigation plans
- Risk classification and assessment: Recognize and classify risks and hazards, conduct assessments aligned with trustworthiness principles and ensure human oversight
- Dedicated risk management system: advise on GRC tools, AI controls, life cycle documentation, test plans and integration with IT processes
Why SGS and CertX?
As the world’s leading testing, inspection and certification company, we combine decades of compliance and certification leadership with vast knowledge in digital trust. CertX, part of SGS, is a recognized leader in AI testing, functional safety and cybersecurity. Together, we deliver end-to-end advisory for trustworthy AI.
Govern responsible, compliant and trusted AI
Our global network of digital trust experts is ready to help you strengthen AI governance, reduce risk and ensure compliance.
Contact us to discuss your AI governance needs.
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