New Business Agenda based on ISO 38507 and ISO 42001
Artificial Intelligence (AI) has gone from being a technological trend to becoming a strategic pillar in business decision-making. However, its rapid adoption has raised new questions about governance, ethics, control and corporate responsibility. In this context, the international standards ISO 38507 and ISO 42001 are emerging as key frameworks for managing AI in a safe and structured manner with their focus on AI governance and management.
ISO 38507: AI governance from senior management
ISO 38507 provides guidance to governing bodies on the responsible use of Artificial Intelligence. It does not deal with technical aspects, but rather with strategic direction, oversight and accountability. It establishes principles such as responsibility, strategy, responsible procurement, performance and compliance, enabling boards of directors to integrate AI into corporate governance without losing control or transparency.
ISO 42001: Artificial Intelligence Management System
Complementing ISO 38507, ISO 42001 establishes requirements for implementing, maintaining, and improving an AI Management System. This standard allows for the identification of algorithmic risks, mitigation of biases, protection of data, and assurance of traceability in models. It is, in essence, the equivalent of what ISO 9001 represents for quality, but applied specifically to AI management.
Impact on Safety, Quality and Sustainability
The integration of AI under these standards makes it possible to strengthen operational safety, improve quality through predictive analytics, and optimise sustainability through energy efficiency models and the reduction of environmental impacts. AI is no longer an isolated tool but becomes part of a structured management ecosystem.
Productivity with Responsibility
AI-driven productivity can generate significant competitive advantages. However, without proper governance, it can also amplify reputational and regulatory risks. ISO 38507 and ISO 42001 enable a balance between innovation and control, ensuring that automation and algorithmic decision-making are aligned with strategic objectives and corporate values.
Conclusion
The current debate is not about whether companies should adopt Artificial Intelligence, but how to do so responsibly. Organisations that integrate standards such as ISO 38507 and ISO 42001 into their strategy will not only mitigate risks, but also consolidate an intelligent, secure and sustainable business model. AI governance is no longer optional: it is the new competitive standard.
European Union AI Act: Regulation and Compliance Framework
The European Union's AI Act represents the first comprehensive regulatory framework for Artificial Intelligence at the global level. Its risk-based approach classifies AI systems into categories ranging from minimal risk to unacceptable risk, imposing specific obligations on high-risk systems, including requirements for transparency, technical documentation, human oversight, and risk management.
The convergence between the AI Act, ISO 38507 and ISO 42001 offers organisations a clear roadmap: while the regulation establishes legal obligations, international standards provide the operational framework for meeting them in a structured manner. Companies that align their AI governance and management systems with these frameworks will not only ensure regulatory compliance, but also strengthen their competitive position in global markets.
In this new regulatory landscape, AI governance is no longer a voluntary best practice but a strategic requirement. Regulatory foresight will be a key differentiator in the digital economy.