For an Austrian AI project, compliance starts by understanding the system’s intended purpose, affected people, data, provider roles and risk context. This page is a practical scoping guide, not legal advice.
Classify the use case before implementation
Document what the system does, who uses it, who is affected and which decisions it influences. Determine whether PilotProof, the client and technology suppliers act as provider, deployer or another regulated participant for the specific system.
Build a traceable system record
- intended purpose and excluded uses;
- data sources, permissions and retention;
- model and supplier dependencies;
- evaluation evidence and known limitations;
- human oversight, escalation and incident handling;
- user-facing transparency where required.
Do not treat compliance as a footer
Risk controls can affect product design, procurement, logging, interfaces and operating ownership. They should be part of discovery and acceptance criteria rather than added after launch.
Use authoritative, current sources
Requirements and implementation guidance can change. Confirm the current position with qualified counsel and the official sources relevant to your role and use case.
- European Commission: AI regulatory framework
- EUR-Lex: Artificial Intelligence Act
- Austrian Data Protection Authority
Turn the decision into a scoped plan
Bring the workflow, affected users, available data, constraints and desired outcome to a needs-assessment call. PilotProof will recommend a proportionate next step and prepare a proposal only after the scope and assumptions are clear.