Govern AI risks. Build Trusted AI.

Frequently asked questions

• What is Naaia, and how does it help organizations comply with international regulations on AI?

  Naaia is Europe’s first AI Management System (AIMS), built on the ISO/IEC 42001 st andard. It provides organizations with a centralized platform to govern, monitor, and document all AI systems in use — helping them meet the obligations of international regulations on AI (EU AI Act, California Bill…), from risk classification to post-market surveillance. By combining a capability registry, automated compliance workflows, and cross-framework mapping, Naaia transforms AI governance from a manual burden into a structured, auditable process.

• Which types of organizations need an AI governance management system?

  Any organization that develops, deploys, or uses AI systems — particularly in regulated industries such as financial services, healthcare, insurance, and the public sector — needs a structured approach to AI governance. Under the EU AI Act, organizations with high-risk AI systems face legally binding obligations around risk management, transparency, and human oversight. Multinationals operating across jurisdictions (EU, US, South Korea, China) also benefit from a unified governance platform with Naaia, that manages multiple regulatory frameworks simultaneously.

• How can organizations automate continuous AI compliance monitoring over time?

  Continuous AI compliance monitoring requires three foundational elements: a live inventory of all AI systems in use, automated alerts when systems drift from their approved parameters, and a structured evidence collection process for regulatory audits. Organizations should establish periodic review cycles — at minimum quarterly for high-risk systems — aligned with the post-market surveillance obligations of the EU AI Act (Article 9). Naaia automates these workflows, reducing manual overhead and ensuring compliance evidence is always audit-ready.

• How does AI-powered automation reduce the time organizations spend on compliance tasks?

  Traditional AI compliance workflows rely on manual spreadsheets, disconnected documentation, and siloed teams — often requiring hundreds of hours per year for large enterprises. AI-powered automation streamlines three areas in particular: evidence collection (automatically logging decisions and system changes), risk assessment (flagging deviations from approved AI profiles), and regulatory mapping (aligning a single AI system’s documentation to multiple frameworks simultaneously). Organizations using automated governance platforms typically report a 50–70% reduction in time spent on compliance documentation.