Boost your digital transformation with reliable and secure AI: we implement an AI Management System (AIMS) in accordance with ISO 42001 to ensure ethics, transparency, and regulatory compliance.
Artificial Intelligence has become a critical element in digital transformation. However, its use involves risks related to ethics, transparency, security, and privacy. ISO 42001 establishes the international reference framework to manage the AI systems lifecycle in a structured and controlled way, ensuring their reliability and alignment with the organization’s values.
The objective of this service is to implement an Artificial Intelligence Management System (AIMS) in accordance with ISO 42001, enabling the organization to develop, deploy, and use AI systems in an ethical, secure, transparent manner and in compliance with current legislation.
- Organizations from any sector that use AI or plan to implement it, especially regulated sectors (financial, insurance, healthcare, energy, public administration).
- Applicable to both internal AI and external provider services (cloud AI, third‑party APIs).
- Full coverage of the AI lifecycle: development, training, deployment, maintenance, and decommissioning.
- Integration with cybersecurity and data protection standards, laws, and regulations:
- ISO 27001: leverages existing information security management processes, including risk analysis, access controls, continuity, incident management, and internal audits.
- ENS: ensures that AI systems meet information protection requirements according to their criticality and data category, integrating basic, medium, and high security measures.
- NIS2: ensures operational resilience and notification of AI‑related incidents that may affect essential services or critical providers.
- GDPR / LOPDGDD: privacy impact assessment and anonymization or pseudonymization measures for data used in AI.
- Structured framework for responsible AI management.
- Integration with existing systems (ISO 27001, ISO 9001, ISO 31000, etc.).
- Improved transparency and traceability of models and algorithms.
- Control of technical, ethical, and bias‑related risks in AI systems.
- Preparation for compliance with the European AI Regulation (AI Act).
- Demonstrates commitment to ethical, secure, and trustworthy AI.
- Strengthens reputation and stakeholder trust.
- Improves governance and control over AI processes.
- Facilitates compliance with the AI Act and related regulations.
- Increases efficiency and reduces risks associated with AI use.