Technical assessment and remediation to ensure your AI systems comply with the EU AI Act's risk-based classification.
Services

Technical assessment and remediation to ensure your AI systems comply with the EU AI Act's risk-based classification.
We conduct a technical gap analysis against the EU AI Act's Annexes, mapping your AI system's architecture to specific high-risk requirements. This identifies critical remediation needs for conformity assessments, technical documentation, and post-market monitoring.
Avoid costly redesigns and regulatory penalties. Our expertise in Enterprise AI Governance and Compliance Frameworks ensures your systems are built for compliance from the ground up. Explore related services like ISO/IEC 42001 Certification Support and AI Model Inventory and Lifecycle Management.
Our technical remediation service transforms regulatory compliance from a cost center into a strategic asset. We deliver concrete, auditable outcomes that secure market access while building trust and operational resilience.
Achieve full conformity for your high-risk AI system, securing the CE marking required to legally deploy and sell within the EU's 27 member states. We manage the entire technical documentation and conformity assessment process.
Mitigate exposure to penalties of up to 7% of global turnover. Our remediation establishes a defensible audit trail, documented risk management, and human oversight protocols that demonstrate due diligence to regulators.
Publicly demonstrate ethical AI practices. Compliance becomes a market differentiator, building trust with B2B clients, end-users, and investors concerned with responsible innovation and long-term viability.
Move from ad-hoc AI deployment to governed, resilient operations. Our remediation integrates post-market monitoring, incident response plans, and continuous compliance checks, preventing costly system failures and recalls.
Our technical work establishes a scalable governance layer that adapts to future regulations like the US AI Bill of Rights or Canada's AIDA. This foundation accelerates compliance for subsequent AI systems and models.
Bake compliance into your SDLC from the start. We implement AI Policy-as-Code and automated governance checks, preventing last-minute, costly re-engineering and reducing time-to-market for compliant AI features.
A phased breakdown of a typical engagement to bring your AI systems into compliance with the EU AI Act's technical requirements, from initial risk classification to final conformity assessment.
| Phase & Key Activities | Duration | Inference Systems Deliverables | Client Responsibilities |
|---|---|---|---|
Phase 1: Risk Classification & Gap Analysis | 1-2 weeks | EU AI Act risk classification report, Technical compliance gap analysis | Provide system documentation, data access, stakeholder interviews |
Phase 2: Technical Documentation Remediation | 2-4 weeks | Compliant technical documentation package, Data governance & provenance maps | Review and validate documentation, provide missing data lineage |
Phase 3: Conformity Assessment Preparation | 3-5 weeks | Pre-audit conformity report, Post-market monitoring system design | Internal review of conformity evidence, designate responsible personnel |
Phase 4: Implementation & Integration | 4-8 weeks | Integrated logging & audit trail, Bias detection & mitigation modules | Allocate development resources, execute integration testing |
Phase 5: Validation & Final Reporting | 1-2 weeks | Final conformity assessment file, Ongoing compliance monitoring plan | Sign-off on remediation, establish internal governance process |
Total Project Timeline | 8-16 weeks | Turnkey EU AI Act compliance package | Active collaboration & resource allocation |
The EU AI Act imposes stringent technical and documentation requirements on systems classified as 'high-risk.' Our remediation services ensure your AI deployments meet these obligations, mitigating legal exposure and operational shutdown risks.
Remediate AI used in diagnostics, patient risk prediction, and treatment planning. We ensure compliance with Annex I requirements for clinical validation, post-market monitoring, and human oversight, protecting patient safety and your market authorization.
Learn more about our Healthcare Clinical Decision Support and Ambient AI services.
Address algorithmic fairness, transparency, and data governance in AI-driven lending, fraud detection, and risk modeling. Our remediation includes bias audits, explainability integration, and robust logging to satisfy Article 10 and prevent disparate impact claims.
Our Algorithmic Fairness and Bias Mitigation services provide the foundation for compliant systems.
Secure AI managing electricity grids, water supply, and transport networks against novel threats. We implement adversarial defense, fail-safe mechanisms, and comprehensive technical documentation mandated for systems essential to public welfare under the Act's high-risk definition.
Explore our Energy Grid Optimization and Predictive Maintenance AI solutions.
Navigate the prohibitions and strict requirements for AI in biometric identification, emotion recognition, and predictive policing. We conduct fundamental rights impact assessments and implement the highest-grade accuracy, logging, and human-in-the-loop controls for permissible use cases.
Remediate AI systems that determine access to education or professional scoring. We ensure algorithms do not perpetuate bias, provide clear reasoning for automated decisions, and establish avenues for human review, complying with transparency and fairness obligations.
Align AI used in recruitment, promotion, and task allocation with prohibitions on discriminatory profiling. Our services include bias testing of training data, model fairness tuning, and creating the detailed conformity assessments required for these sensitive applications.
See how we approach AI-Driven Workforce Transformation and HR Analytics with compliance by design.
Get specific answers on how we technically remediate AI systems to ensure full compliance with the EU AI Act's risk-based framework, from initial assessment to post-market monitoring.
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