AI compliance is the work of proving that an AI system and the organization operating it meet applicable laws, contracts, standards, and internal rules. It turns obligations into owned controls, evidence, reviews, and incident processes across the system's full lifecycle rather than treating compliance as a launch checklist.
A company first inventories systems and determines which rules apply. AI risk classification drives obligations, while AI governance assigns owners and review routines. Compliance requires evidence that a control operated, not a policy document alone.
When does AI compliance matter?
For systems under the EU AI Act, obligations vary by role and risk. Preserve an agent audit trail and update assessments when use changes. The same model can create different duties in different business contexts.
Frequently asked questions
What is AI compliance used for?
For systems under the EU AI Act, obligations vary by role and risk. Preserve an agent audit trail and update assessments when use changes.
Is AI compliance the same as AI governance?
No. Compliance addresses external and internal obligations; governance also covers broader company decisions and accountability.
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