What is AI Compliance?
AI compliance refers to the practice of ensuring that an organisation's use of artificial intelligence systems conforms to applicable laws, regulations, industry standards, and internal policies. It encompasses regulatory compliance (such as the EU AI Act), ethical guidelines, data protection requirements (GDPR), sector-specific rules, and voluntary standards. AI compliance is not a one-time checkbox — it requires ongoing monitoring, documentation, and adaptation as both regulations and AI systems evolve.
Key AI Regulations and Standards
Several major regulations and standards govern AI use. The EU AI Act (2024) is the world's first comprehensive AI law, classifying systems by risk level and imposing obligations on providers and deployers. The NIST AI Risk Management Framework provides voluntary guidelines for identifying and managing AI risks. ISO 42001 establishes requirements for an AI management system. GDPR applies to AI systems processing personal data in the EU. Sector-specific regulations apply in healthcare (FDA AI/ML guidance), financial services (EBA guidelines), and other regulated industries.
Deployer vs Provider Obligations
AI regulations distinguish between providers (who develop AI systems) and deployers (who use them). Most enterprises are deployers — they use AI tools like Microsoft Copilot, ChatGPT, or custom AI agents rather than building foundational AI models. Deployer obligations under the EU AI Act include: ensuring human oversight for high-risk AI, providing AI literacy training, conducting Fundamental Rights Impact Assessments, monitoring AI systems in operation, reporting incidents, retaining logs, and maintaining transparency about AI use.
Building an AI Compliance Programme
An effective AI compliance programme includes: an inventory of all AI systems in use (including shadow AI), risk classification for each system aligned with applicable regulations, documented policies and procedures for AI governance, assigned accountability (compliance owners for each AI system), evidence collection and audit trails, regular compliance reviews and assessments, incident reporting and management processes, and staff training on AI compliance requirements. Platforms like Fronterio automate many of these requirements with built-in risk classification, deployer obligation checklists, FRIA wizards, audit logs, and compliance dashboards.
Related Feature: EU AI Act Compliance
Fronterio provides built-in tooling for this.