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EU AI Act

The world's first comprehensive AI law is in force. Is your organization ready?

Whether you're developing AI systems or deploying them in your operations, Operlity gives organizations a structured platform to meet the obligations of the EU Artificial Intelligence Act — from AI system inventory and risk classification through conformity assessment, technical documentation, and ongoing compliance monitoring.

What is the EU AI Act?

The world's first comprehensive legal framework for AI development and deployment.

The EU Artificial Intelligence Act is the world's first comprehensive legal framework governing the development, deployment, and use of artificial intelligence systems. Adopted by the European Parliament in 2024 and entering into force in phases through 2026, the EU AI Act applies to any organization — EU-based or global — that develops, deploys, or uses AI systems that affect individuals in the European Union.

The EU AI Act takes a risk-based approach to AI regulation — classifying AI systems into four risk tiers: unacceptable risk systems that are prohibited outright, high-risk systems subject to the most stringent compliance obligations, limited risk systems subject to transparency obligations, and minimal risk systems with voluntary compliance recommendations. For high-risk AI systems — covering applications in critical infrastructure, education, employment, essential services, law enforcement, migration, and administration of justice — the obligations are comprehensive: risk management systems, data governance, technical documentation, transparency, human oversight, accuracy, robustness, and cybersecurity. Penalties for non-compliance reach up to €35 million or 7% of global annual turnover for the most serious violations.

The compliance challenge

A fundamentally new kind of regulatory obligation that most GRC programs are not yet structured to address.

AI system inventory gaps

Most organizations do not have a comprehensive, structured inventory of the AI systems they develop or deploy — making risk classification, the first step of EU AI Act compliance, impossible without significant discovery work.

Risk classification complexity

Determining whether an AI system falls into the prohibited, high-risk, limited risk, or minimal risk category requires detailed understanding of the system's purpose, deployment context, and affected populations — a nuanced assessment that most organizations are not yet equipped to conduct systematically.

High-risk system obligations

Organizations with high-risk AI systems face a comprehensive set of obligations — risk management systems, data governance, technical documentation, conformity assessment, human oversight mechanisms, and post-market monitoring — that require structured program management.

Technical documentation requirements

The EU AI Act requires detailed technical documentation for high-risk AI systems covering system design, training data, performance metrics, and risk assessment — documentation that must be maintained and updated throughout the system's lifecycle.

Post-market monitoring

Providers of high-risk AI systems must implement post-market monitoring plans to track system performance and identify issues after deployment — an ongoing operational commitment.

Supply chain complexity

Organizations that deploy third party AI systems must understand their obligations as deployers and govern their AI providers' compliance — adding a new dimension to third party risk management.

Rapidly evolving regulatory guidance

The EU AI Act's implementing acts, harmonized standards, and regulatory guidance are still being developed — organizations must track regulatory developments and adapt their compliance programs accordingly.

How Operlity supports EU AI Act compliance

An end-to-end platform for AI developers and deployers across all risk tiers.

Coverage at a glance

Every EU AI Act obligation, mapped to an Operlity capability.

EU AI Act ObligationOperlity Capability
AI System InventoryCentralized AI system register with purpose, deployment context, and risk classification
Risk ClassificationStructured risk classification assessments with documented decisions and justifications
Risk Management System (Art. 9)AI risk assessment workflows with risk identification, scoring, treatment, and lifecycle tracking
Data Governance (Art. 10)Training and operational data governance with classification, quality tracking, and retention management
Technical Documentation (Art. 11)Structured technical documentation management with version control and lifecycle maintenance
Transparency (Art. 13)Transparency mechanism documentation and human oversight procedure management
Human Oversight (Art. 14)Human oversight implementation tracking with structured evidence management
Accuracy, Robustness & Cybersecurity (Art. 15)Performance and security control tracking with testing records and incident management
Conformity AssessmentCompliance program management with assessment workflows and gap identification
Post-Market Monitoring (Art. 72)Post-market monitoring plan management with performance tracking and incident reporting
Third Party AI Provider ManagementThird party risk management with AI provider due diligence and contractual obligation tracking
Regulatory Change MonitoringCompliance program updates as implementing acts and harmonized standards are published
From gap to compliant

Six structured steps to a defensible EU AI Act program.

01

AI system discovery & inventory

Identify and document every AI system developed or deployed by your organization — building the comprehensive AI inventory that underpins every EU AI Act obligation and makes risk classification possible.

02

Risk classification

Conduct structured risk classification assessments for each AI system — determining whether each falls into the prohibited, high-risk, limited risk, or minimal risk tier — with documented classification decisions and justifications.

03

High-risk system compliance program

For each high-risk AI system, establish a structured compliance program covering risk management, data governance, technical documentation, human oversight, and post-market monitoring — with ownership assignment and implementation tracking across all obligations.

04

Technical documentation

Build and maintain technical documentation for all high-risk AI systems — covering system design, training data governance, performance metrics, risk assessment, and testing records — meeting EU AI Act documentation requirements from the outset.

05

Third party AI provider governance

Audit your third party AI provider ecosystem — documenting provider compliance status, updating contracts to reflect EU AI Act obligations, and implementing ongoing monitoring of provider compliance.

06

Continuous compliance maintenance

Monitor your EU AI Act compliance posture continuously — tracking obligation status across all AI systems, managing post-market monitoring, responding to incidents, and adapting your program as implementing acts and harmonized standards are published.

Related frameworks & solutions

Works well with.

The EU AI Act doesn't just regulate AI. It regulates every organization that develops or deploys it — including yours. See how Operlity helps AI developers and deployers build structured, audit-ready EU AI Act compliance programs.
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