We were building a high-risk AI system for clinical decision support and had no idea how to navigate the Act's obligations. The gap analysis and compliance roadmap gave us exactly what we needed to proceed with confidence.
EU AI Act Readiness & Implementation
Expert Guidance for Compliance in the European Union
Navigating the EU AI Act Landscape
We help you understand the scope, risk-based approach (unacceptable, high, limited, minimal risk), and specific obligations imposed by the EU AI Act on your organization as a provider, importer, distributor, or user of AI systems operating within the EU market.
Scope & Applicability Assessment
Determining how the Act impacts your specific AI systems
What This Means For You
Stop guessing whether the EU AI Act applies to your organization. A precise scope assessment identifies your regulatory obligations as a provider, deployer, importer, or distributor—saving you from unnecessary compliance costs while ensuring you don't miss critical requirements that could result in fines up to €35 million or 7% of global turnover.
Deliverable Outcome
- Regulatory scope mapping for your organization
- Role classification (provider vs. deployer analysis)
- Jurisdictional applicability assessment
- Exemption eligibility evaluation
AI System Risk Classification
Accurately identifying high-risk AI systems requiring compliance
What This Means For You
Classification is the gateway decision. Get it wrong and you face either wasted resources on unnecessary compliance or devastating regulatory penalties for missed obligations. Our structured approach analyzes your AI systems against Article 6 and Annex III criteria, ensuring defensible classification decisions that withstand regulatory scrutiny.
Deliverable Outcome
- System-by-system risk classification matrix
- Article 6 and Annex III applicability analysis
- Exemption evaluation and documentation
- Classification memo with supporting evidence
Understanding Key Obligations
Clarifying requirements for data, documentation, transparency, oversight
What This Means For You
The EU AI Act imposes up to 14 distinct obligation categories on high-risk AI systems. Understanding which apply to your specific situation—and how they interact with existing regulations like GDPR, MDR, or sectoral laws—is essential for building an efficient compliance program that doesn't duplicate effort or miss critical requirements.
Deliverable Outcome
- Obligation mapping matrix by system and role
- Regulatory overlap analysis (GDPR, MDR, IVDR, etc.)
- Prioritized obligation implementation roadmap
- Compliance timeline and milestone definition
Assessing Your Current AI Compliance Posture
Our readiness assessment involves inventorying your AI systems, classifying their risk levels according to Annex III and Commission guidance, and performing a detailed gap analysis against the Act's stringent requirements for high-risk systems.
AI System Inventory & Risk Classification
Mapping your AI landscape against the Act's definitions
What This Means For You
You can't manage what you don't measure. A comprehensive AI system inventory captures not just models, but entire workflows including decision points, human oversight mechanisms, and data flows. This becomes your foundation for all compliance activities and demonstrates due diligence to regulators.
Deliverable Outcome
- Complete AI system inventory with risk classifications
- System dependency and interaction mapping
- Data lineage and processing activity documentation
- Vendor and third-party AI component tracking
Gap Analysis vs. High-Risk Requirements
Identifying shortfalls in data governance, documentation, robustness
What This Means For You
Knowing where you stand today versus where you need to be is critical for resource planning. Our gap analysis identifies not just what's missing, but the severity of each gap and its interdependencies—allowing you to prioritize efforts that deliver maximum compliance impact with minimum disruption.
Deliverable Outcome
- Comprehensive gap analysis by AI Act article
- Risk-weighted gap severity assessment
- Root cause analysis for compliance shortfalls
- Remediation priority matrix
Technical Documentation & Record-Keeping Review
Ensuring your documentation meets Article 11 requirements
What This Means For You
Article 11 requires extensive technical documentation that cannot be assembled retrospectively. Our review identifies what documentation already exists, what needs to be created, and how to structure your documentation pipeline to support ongoing compliance as systems evolve—preventing last-minute scrambles before conformity assessments.
Deliverable Outcome
- Technical documentation gap assessment
- Article 11 compliance checklist
- Documentation template framework
- Version control and maintenance procedures
Strategic Planning for AI Act Compliance
Based on the gap analysis, we collaborate with you to develop a pragmatic and prioritized implementation roadmap. This outlines necessary technical adjustments, process changes (QMS), documentation efforts, and conformity assessment strategies to achieve compliance efficiently.
Prioritized Action Plan & Timeline
Focusing efforts on the most critical compliance steps
What This Means For You
Compliance deadlines are approaching fast. A prioritized action plan ensures your limited resources are directed at the highest-impact activities first—those that take longest to implement, have the most significant compliance impact, or create foundation for subsequent requirements. This prevents costly last-minute rushes and ensures steady progress.
Deliverable Outcome
- Phased implementation roadmap with milestones
- Resource allocation and budgeting guidance
- Critical path analysis for compliance deadlines
- Risk-based prioritization framework
Technical & Organizational Measure Design
Implementing solutions for robustness, accuracy, and cybersecurity
What This Means For You
The AI Act requires specific technical measures for high-risk systems—risk management systems, data governance, transparency, human oversight, and cybersecurity. We design practical, implementable solutions that meet regulatory requirements while fitting your technical architecture and business constraints.
Deliverable Outcome
- Technical architecture recommendations
- Data governance framework design
- Human oversight mechanism specifications
- Cybersecurity control implementation plan
Conformity Assessment Strategy
Navigating requirements for CE marking (internal control or notified body)
What This Means For You
High-risk AI systems require CE marking before market placement. The conformity assessment route depends on your system type and role—internal production control for most systems, but third-party assessment for biometric identification and certain other cases. Getting this wrong blocks market access.
Deliverable Outcome
- Conformity assessment route determination
- Notified body selection criteria (if required)
- Declaration of conformity template
- CE marking process roadmap
Quality Management System Integration
Aligning with Article 17 QMS requirements if applicable
What This Means For You
Article 17 requires providers of high-risk AI systems to implement a quality management system. Rather than building something completely new, we help you integrate AI Act requirements into existing QMS frameworks (ISO 9001, ISO 13485, etc.)—leveraging your current processes while filling the AI-specific gaps.
Deliverable Outcome
- QMS gap analysis against Article 17
- Integrated quality management framework
- Process mapping and procedure updates
- Internal audit program design
Embedding Trust and Ensuring Ongoing Compliance
Beyond initial compliance, we help you embed principles of trustworthy AI (fairness, transparency, robustness) and establish robust AI governance frameworks, including the necessary post-market monitoring systems and reporting structures required by the Act.
Implementing Human Oversight Mechanisms
Designing effective human-in-the-loop processes
What This Means For You
"Human in the loop" is not a magic shield. The AI Act requires meaningful human oversight—humans who understand the system, have time to review its outputs, and can override decisions when necessary. We design oversight mechanisms that satisfy regulatory requirements while remaining practical for your operational context.
Deliverable Outcome
- Human oversight model design
- Oversight procedure documentation
- Training program for oversight personnel
- Override and escalation workflow
Ensuring Transparency & Explainability
Meeting requirements for user information and system understanding
What This Means For You
The AI Act mandates transparency obligations that go beyond GDPR—users must know they're interacting with AI, understand the system's capabilities and limitations, and be informed about decision-making logic. We help you translate these requirements into clear, practical disclosures that don't overwhelm users.
Deliverable Outcome
- Transparency notice templates
- Explainability framework design
- User information architecture
- Technical documentation for deployers
Establishing Post-Market Monitoring Systems
Setting up processes as per Article 61 requirements
What This Means For You
Compliance doesn't end at deployment. Article 61 requires ongoing post-market monitoring to detect emerging risks, performance degradation, or unintended consequences. We design monitoring systems that catch issues early, satisfy reporting obligations, and create feedback loops for continuous improvement.
Deliverable Outcome
- Post-market monitoring plan
- Performance metric definition
- Incident detection and reporting workflow
- Continuous improvement process
Developing Internal AI Governance Policies
Creating a sustainable framework for responsible AI use
What This Means For You
Sustainable compliance requires embedding AI governance into your organizational DNA—not just checking boxes, but building a culture of responsible AI use. We help you develop policies, procedures, and governance structures that ensure long-term compliance while enabling innovation and competitive advantage.
Deliverable Outcome
- AI governance policy framework
- AI ethics committee charter
- AI procurement and vendor guidelines
- Training and awareness program
Ready to embrace AI responsibly in the EU? Our expertise ensures you meet regulatory demands and build trust.