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Make your AI systems
regulator-ready —
end‑to‑end.
Impact assessments, governance design, conformity assessments, FRIAs, production safeguards and continuous monitoring — aligned to the EU AI Act, ISO/IEC 42001 and NIST AI RMF.
The regulatory landscape has changed.
From 2 August 2026, organisations that place or use high-risk AI in the EU face audited obligations on risk management, data governance, technical documentation, human oversight, and post-market monitoring — demonstrable before deployment, regardless of where the organisation is established.
The compliance challenge
Most organisations lack the governance structures, documentation and technical controls the EU AI Act requires. High-risk systems in employment, financial services, education and public administration now need a functioning risk management system, data governance framework, technical documentation, human oversight mechanisms and conformity assessments — all demonstrable before deployment.
Our approach
We help you build an AI compliance programme that works in practice, not just on paper. We start with a complete inventory of your AI systems, classify each by risk level, map applicable obligations under the EU AI Act, ISO/IEC 42001 and NIST AI RMF, then design and implement the controls, documentation and monitoring you need to demonstrate ongoing compliance.
Comprehensive AI regulatory compliance, in four practices.
From scoping through to audit. Each engagement combines regulatory expertise, hands-on engineering, and the documentation regulators want to see.
Regulatory Impact Assessment
Comprehensive impact assessments to identify applicable legal, standards and governance obligations early in the lifecycle — mapped to actionable controls covering risk, transparency, oversight, data, accuracy, robustness and cybersecurity.
Production Safeguards Review
Assess the sufficiency of your production guardrails — policy controls, approval workflows, monitoring, logging, incident response, escalation paths and evidence retention.
Conformity Assessment Support
Prepare high-risk systems for internal control-based or notified-body conformity assessments — including EU declaration of conformity, CE marking readiness and EU AI database registration.
Fundamental Rights Impact Assessment
Article 27 mandates deployers of high-risk AI to conduct FRIAs before deployment. We examine algorithmic bias, privacy risks, discriminatory outcomes and broader societal implications.
A live compliance posture — not a one-off audit.
One inventory, every obligation, mapped to controls.
Every AI system you operate, classified against the EU AI Act risk taxonomy, with the obligations, evidence and owners visible to your board, your auditors and your regulators — in one place.
- ✓Risk classification across prohibited, high-risk, limited and minimal categories with documented rationale.
- ✓Control mapping to Articles 9–49, ISO/IEC 42001 AIMS and NIST AI RMF Govern·Map·Measure·Manage.
- ✓Tamper-evident audit trails for every model decision, override, and post-market incident.
- ✓FRIA + DPIA evidence packs ready for notified-body or regulator inspection.
From assessment to continuous monitoring.
Our engagement follows the AI compliance lifecycle — aligning with the NIST AI RMF's Govern·Map·Measure·Manage functions and ISO/IEC 42001's Plan·Do·Check·Act methodology.
Compliance
Lifecycle
Complete AI inventory. Classify every system by risk level and document the rationale.
Map obligations to controls. Design the governance framework, policies, and technical docs.
Ship oversight, logging, approval workflows and incident response. Conduct FRIAs.
Continuous post-deployment monitoring, drift detection, periodic re-assessment.
Eighteen services. One compliance programme.
Every service required to take an AI system from initial scoping through to sustained regulatory compliance and audit readiness.
AI System Inventory & Risk Classification
Complete registry of AI use cases, classified against the EU AI Act risk taxonomy with documented rationale, and triaged by regulatory exposure.
Regulatory Scoping & Applicability Analysis
Determine which regulations, standards and governance obligations apply across your jurisdictions, sectors and use cases.
Gap Assessment & Framework Mapping
Structured gap analysis against EU AI Act Articles 9–49, ISO/IEC 42001 AIMS and NIST AI RMF Govern·Map·Measure·Manage.
AI Governance Framework & Policy Drafting
Design and document AI governance — policies, roles, risk tolerance, accountability — aligned to ISO/IEC 42001 Plan·Do·Check·Act.
Conformity Assessment & CE Marking Readiness
Prepare high-risk AI systems for internal control or notified-body conformity assessments, including declaration of conformity and EU database registration.
Fundamental Rights Impact Assessment
Article 27 FRIAs evaluating impact on fundamental rights — bias, privacy, discrimination, accessibility and broader societal implications.
Data Governance & Dataset Quality Review
Review data sourcing, quality, labelling, representativeness and lineage against the data governance requirements for high-risk AI.
Bias, Fairness & Discriminatory Outcome Testing
Independent fairness analysis across protected characteristics — statistical tests, disparate-impact assessment, remediation and re-test.
Model Validation & Performance Review
Independent validation of accuracy, robustness and reliability — model cards, benchmarking, adversarial testing, explainability.
Human Oversight & Control Implementation
Design human-in-the-loop and human-on-the-loop controls — real-time intervention, overrides, escalation, documented decision authority.
Technical Documentation & Evidence Packs
Audit-ready technical documentation — architecture, training, validation, risk assessments, model cards — organised for conformity review.
Automatic Logging & Record-Keeping
Logging infrastructure for input/output, decision audit trails, performance metrics and tamper-evident retention for regulator inspection.
Audit Readiness & Regulator Response
Evidence collation, mock assessments and structured response procedures for regulator queries — internal control and notified-body engagement.
Continuous Monitoring & Post-Deployment Compliance
Ongoing monitoring, drift detection and periodic re-assessment. Track evolving regulatory requirements across jurisdictions.
Incident Response & Post-Market Surveillance
Incident response plans, escalation, root-cause analysis and the post-market monitoring obligations required under the EU AI Act.
Vendor & Third-Party AI Due Diligence
Assess AI vendors against your standards — liability, audit rights, model/data rights and supply-chain compliance for deployers.
Transparency & User Notification Controls
Disclosure mechanisms and notifications for individuals interacting with AI — both provider and deployer obligations under the EU AI Act.
Staff Training & Organisational Awareness
Tailored programmes for product, legal, compliance and engineering teams on AI governance, responsible AI and the practical requirements.
Three frameworks, one auditable programme.
Every engagement maps your obligations across the three frameworks every AI compliance regime references — so your controls hold up under regulator inspection, vendor due diligence and board scrutiny.
EU AI Act
Risk-based regulation for AI systems placed or used in the EU.
ISO/IEC 42001 · AIMS
AI management system standard — Plan·Do·Check·Act methodology.
NIST AI RMF
Govern, Map, Measure, Manage — the operational backbone for AI risk.
GDPR + Article 27 FRIA
Data protection + Fundamental Rights Impact Assessment for deployers.
Continuous monitoring
Post-market drift detection, incident response, re-assessment.
AI Compliance Readiness Package.
A bundled engagement covering the full compliance lifecycle — from inventory and risk classification through governance design, conformity assessment, technical documentation and ongoing post-deployment monitoring.
Built for organisations whose AI systems fall within the EU AI Act's high-risk categories — employment, credit scoring, biometric identification, critical infrastructure and essential services.