Classify AI systems
Norm360 is being designed to help teams classify every AI system and GPAI model they develop, deploy or use against the Act's risk framework, roles and practical use contexts.
Your compass for every regulation starts with knowing what applies to you. With AI, that means understanding every AI system and GPAI model you develop, deploy or use, the role your organisation plays and the obligations that follow.
Norm360 is building the AI Act module to turn that complexity into a structured workspace for classification, asset management, documentation, assessments, notices, literacy and governance. The module is currently in progress.
The module is designed to help teams classify AI systems and GPAI models against the Act's risk framework, then connect each asset to the practical obligations that apply to it.
Rather than treating documentation, conformity assessment and post-market monitoring as disconnected tasks, Norm360 brings them into a shared register where responsibility, evidence and next steps are easier to coordinate.
AI governance also needs to be maintained over time. The module is planned to support fundamental rights impact assessments, AI system notices, AI literacy training and internal procedures with guided templates and AI-assisted drafting.
The aim is not only to classify AI systems once, but to make AI compliance manageable as the inventory changes.
Norm360 is being designed to help teams classify every AI system and GPAI model they develop, deploy or use against the Act's risk framework, roles and practical use contexts.
AI assets can be organised in a structured register, with tailored obligation maps per asset so ownership, scope and next steps are easier to understand.
Technical documentation, conformity assessment work and post-market monitoring requirements can become operational workflows rather than disconnected files.
Fundamental rights impact assessments are planned to be supported with guided templates and AI assistance, helping teams work through requirements in a structured way.
Governance procedures can be created and maintained with ready-made templates and AI support, so policy work stays connected to actual AI systems and responsibilities.
The module is planned to support AI system notices and a notices register, helping teams keep communication and transparency obligations organised.
AI literacy and compliance training materials can be managed with completion tracking, so training becomes part of the operating system rather than a separate spreadsheet.
Each AI asset can be connected to owners, review dates and governance responsibilities, so accountability stays visible as systems change or new use cases appear.
Decisions, classifications, assessments, notices and supporting documentation can stay attached to the asset record, making audits and internal reviews easier to prepare for.
Plain-language article guidance and interactive tools are planned to help teams understand risk tiers, roles and obligations without having to interpret the Act from scratch.