Clarity
Translate regulatory obligations into practical questions, controls and responsibilities.
ABOUT AI AZ TRUST EUROPE
Practical AI compliance built around trust, accountability and evidence.
AI AZ TRUST EUROPE helps organizations understand, assess and manage their obligations under the EU AI Act through structured governance, risk, documentation and compliance processes.
OUR PURPOSE
Making AI regulation understandable and operational.
AI regulation is not only a legal issue. It affects governance, technology, data, documentation, procurement, security, human oversight and everyday operations.
Evidence
Connect compliance conclusions to policies, technical records, assessments and operational evidence.
Accountability
Help organizations identify responsible roles and maintain documented governance throughout the AI lifecycle.
Proportionality
Apply a risk-based approach so effort is focused on requirements that actually apply.
Continuity
Treat compliance as an ongoing process rather than a one-time checklist.
Trust
Support responsible AI deployment through transparency, oversight and documented controls.
OUR APPROACH
From regulation to implementation.
Our assessment approach starts with applicability and classification before evaluating implementation. This helps avoid treating every AI Act requirement as applicable to every organization.
1. Understand the AI System
Define intended purpose, users, deployment context
and system boundaries.
2. Determine Regulatory Scope
Identify territorial scope, regulatory roles,
prohibited practices and risk classification.
3. Assess Applicable Requirements
Evaluate governance, technical and operational
controls against relevant obligations.
4. Review Evidence
Link conclusions to supporting documentation
and implementation records.
5. Prioritize Remediation
Turn identified gaps into structured,
risk-prioritized corrective actions.
WHAT WE SUPPORT
AI compliance across the full lifecycle.
Classification
Scope, regulatory role, prohibited-practice, high-risk and GPAI applicability.
Governance
Accountability, policies, AI literacy, vendor management and change controls.
Risk Management
AI-specific risk identification, assessment, mitigation and continuous review.
Technical Compliance
Data governance, documentation, logging, human oversight, robustness and cybersecurity.
Evidence
Structured evidence requirements, records and documentation supporting compliance conclusions.
Monitoring & Remediation
Post-market monitoring, incidents, corrective actions and regulatory change.
INDEPENDENT & PRACTICAL
Compliance support designed for real operational use.
The goal is not to produce documentation that sits unused. The goal is to build governance and evidence that can support responsible decisions and demonstrate compliance.
Structured Assessments
Consistent questions mapped to regulatory requirements.
Evidence-Based Findings
Findings supported by documented implementation evidence.
Clear Remediation
Actionable recommendations rather than abstract observations.
Lifecycle Governance
Controls designed to remain useful as AI systems evolve.
WORK WITH US
Build a clearer path to responsible AI compliance.
Start with a structured assessment or contact us to discuss your organization’s AI systems and regulatory needs.