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Developing an AI Management System that helps your organization govern AI risks, responsibilities, controls and oversight while supporting customer and certification requirements.
Build Practical AI Governance
AI Governance Framework
Establish a practical foundation for managing AI systems, focusing on risk assessment, roles and accountability, and oversight.
Scope & Accountability
Define the scope of your AI Management System and assign clear roles and responsibilities for effective oversight and control.
AI Risk Management
Identify and treat risks associated with AI systems, ensuring responsible development and deployment across your entire stack.
Readiness & Evidence
Prepare for certification readiness by organizing evidence and documentation that meets the rigorous requirements of ISO/IEC 42001.
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