“AI makes standards obsolete.” — The opposite is true.

There is a persistent misconception: as artificial intelligence increasingly takes over development activities, established standards such as ISO/IEC/IEEE 15288 will lose their relevance. Faster, more autonomous, less formal – so why would we still need a standard?

Just the opposite.

The more an AI produces, the more critical one question becomes: Can its output be trusted? Speed without the ability to verify results is not progress – it is a risk. And verification requires an established and widely accepted benchmark.

This is exactly what standards deliver. They provide a common language that enables people, machines, customers, and auditors to evaluate and align with the same criteria.

The key enabler is this: when an AI follows recognized standards and generates not only the development output itself but also the associated documentation and evidence, the result becomes verifiable. A black box is transformed into a transparent, audit-ready dossier – with requirements, architecture, testing, and approval seamlessly linked and verified against a standard.

Not “AI instead of standards,” but AI within the framework of standards.

MAURITIUS was developed precisely for this purpose: AI-assisted systems engineering within the framework of recognized standards: e.g. ISO/IEC/IEEE 15288 and ISO 9001, 27001, 42001

The AI designs – and delivers the supporting evidence along with it. The human reviews and makes the decision at every point where the standard applies.

Standards do not lose their relevance in the age of AI. They become the foundation that makes AI-generated results trustworthy in the first place.

Is your AI output verified against a recognized standard – or do you simply have to trust it?