DEMO AI SOLUTIONS AB RISK MANAGEMENT SYSTEM POLICY Document ID: DEMOAI-POL-RMS-001 Version: 2.0 | Approved by: Maria Lindberg, CTO | Effective: 2026-02-01 === FICTIONAL DOCUMENT — FOR DEMONSTRATION PURPOSES ONLY === 1. PURPOSE This risk management policy document establishes the risk management system for Demo AI Classifier v2.1, a high-risk AI system used for automated quality control in manufacturing. The policy is established, implemented, documented and maintained in relation to the high-risk AI system as required by applicable regulation. 2. SCOPE This documented scope of risk assessment covers all phases of the AI system lifecycle: design, development, validation, deployment, and post-deployment monitoring. The risk management procedure applies to risks that may affect health, safety or fundamental rights of persons. Risks excluded from scope: purely financial risks not affecting persons, market competition risks, and reputational risks without safety implications. The rationale for excluded risks is that they fall outside the regulatory definition of risks to health, safety or fundamental rights. 3. GOVERNANCE The risk management system is owned by the CTO. The AI Risk Committee meets quarterly to review risk status. Risk identification is performed by the development team with input from domain experts in manufacturing quality control. 4. RISK IDENTIFICATION Risks are identified through systematic analysis of the known and the reasonably foreseeable risks that the high-risk AI system is likely to pose to health, safety or fundamental rights. Risk identification methodology includes FMEA (Failure Mode and Effects Analysis), expert review sessions, and analysis of incident reports from similar systems. 5. RISK MANAGEMENT MEASURES Identified risks shall be managed through design-level risk elimination measures where technically feasible, followed by mitigation measures and control measures for residual risks. Traceability from identified risks to measures is maintained in the risk register. 6. DOCUMENT CONTROL This policy is reviewed annually and updated when material changes occur to the AI system or regulatory requirements.