GPAI model exposure should be separated from ordinary deployment exposure. Companies need to understand whether they provide, integrate, modify or rely on a general-purpose AI model in an EU-facing workflow.
Operational information, not legal advice.
Autonomy control model
Autonomy scope
Clarify whether the system only assists or can plan, call tools, act, adapt or escalate.
Tool access
Map which APIs, data sources, workflows and external actions the system can reach.
Human control
Define where review, approval, override and shutdown must remain possible.
Traceability
Keep prompts, actions, outputs and proof signals reviewable after execution.
Autonomy control
Autonomy scope, tool access, human control and traceability define whether agentic AI remains governable.
Direct answer
General-purpose AI model questions are different from ordinary use-case readiness. A company should clarify whether it provides, modifies, integrates or merely uses a GPAI model before deciding which documentation and governance work matters.
For the next layer, compare provider vs deployer roles, review high-risk AI system signals, or start with an EU AI Act risk assessment.
Decision criteria
First inspection
This page provides operational information for AI governance readiness. It is not legal advice.
Related guides
Run a diagnostic-first EU AI Act assessment for role, risk, documentation and implementation exposure.
A direct answer page for US companies that need to understand possible EU AI Act exposure.
Clarify the difference between provider and deployer roles under EU AI Act readiness work.
A practical guide to assessing EU AI Act risk before committing budget to implementation.
Official sources
External references are included for source orientation. This page remains operational information and is not legal advice.