73% of organizations in LATAM operate AI models outside any governance framework. We assess exposure levels and design the control framework aligned with ISO 42001.
Internal teams adopt generative AI tools without approval, risk assessment, or registry of models in use. Sensitive data is processed on external platforms without privacy controls or traceability. Leadership is unaware of the actual inventory of active AI systems within the organization.
Regulatory exposure under frameworks such as the EU AI Act and future regional regulations. Confidential data leaks through uncontrolled prompts. Automated decisions with undocumented algorithmic bias. Loss of client and partner trust when governance gaps become evident.
We conduct a complete inventory of AI systems in use (authorized and unauthorized), assess the risk level of each one per ISO 42001 and ISO 23894, and deliver an AI governance framework with policies, roles, and operational controls. The initial assessment is completed within 72 business hours.
We apply discovery techniques including network traffic analysis, review of active API integrations, structured interviews with key areas, and audit of current SaaS contracts. This approach detects 90% of unregistered AI systems within the first week of assessment.
ISO/IEC 42001:2023 is the first certifiable standard for artificial intelligence management systems. It establishes requirements to implement, maintain, and improve an AIMS (AI Management System). It is complemented by ISO/IEC 23894 for AI-specific risk management.
The governance framework we implement classifies AI systems by risk level (ISO 42001, Annex B) and applies proportional controls. Low-risk systems maintain agile processes with minimal registration; high-risk systems require impact assessment and formal approval. The goal is traceability, not bureaucracy.
Assessment within 72 business hours. ISO methodology. No ties to certification bodies.
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