ISO/IEC 42001-aligned AI management system
ISO 42001: From Risk to Value
AI Governance
The first step in AI governance is a clear picture of where you stand today. Before certification or system setup, we assess the AI systems you use or develop against operational, technical, and regulatory risk.
We compare your current practices with ISO/IEC 42001 through gap analysis, identify weaknesses, and deliver a detailed report. This surfaces obstacles early, saves time and cost, and gives you a practical roadmap.
ISO 42001
What You Get01 02 03 04 05
ISO 42001
Gap analysis report and strategic roadmap
Risk architecture and statement of applicability
Audit readiness and certification guidance
Continuous improvement (CAPA) framework
Process
How We Work
- 01
Goal Setting
We align AI objectives with your strategic vision and existing policies. The aim is measurable outcomes: concrete value, regulatory readiness, and systems you can sustain.
- 02
Policies and Procedures
We draft the policies and documentation your organisation needs to develop and use AI responsibly. Your ISO/IEC 42001 AI policy covers ethical use, data security, transparency, and fair decision-making, and aligns with your quality, information security, and privacy policies.
- 03
Training and Awareness
AI governance depends on people as much as process. We train staff and leadership on AI policies, ethical responsibilities, risks, and their roles. We close competency gaps and embed Trust by Design across the organisation.
- 04
Risk Architecture and Controls
We identify AI-specific risks such as algorithmic bias, data poisoning, and lack of transparency, and run AI System Impact Assessments. Under ISO/IEC 42001 Annex A we prepare a Statement of Applicability and implement controls to reduce unacceptable risk.
- 05
Performance Measurement
We define what to measure (accuracy, transparency, security), how often, and who reviews results. AI systems are monitored against defined goals and ethical rules, with clear reporting to leadership.
- 06
Certification Audit
We prepare your organisation for accredited certification audits. Before external audits (BSI, TÜV, and others) we run internal audits, close findings, and support you through the certification process for ISO 42001.
- 07
Continuous Improvement
AI systems change as models learn and data evolves. We run root cause analysis on nonconformities, plan corrective actions (CAPA), and keep your AI management system effective as you scale.
FAQ
Questions About AI Governance
What is ISO/IEC 42001 and why should my organization adopt it?
ISO/IEC 42001 is the international standard for AI management systems. It gives you a structured way to govern how AI is developed, deployed, monitored, and improved. Adoption reduces regulatory and operational risk, builds stakeholder trust, and creates an auditable foundation for responsible AI.
How long does ISO 42001 certification typically take?
Timelines depend on organisational maturity, system complexity, and existing management system integrations. Most organisations complete gap analysis, system design, implementation, and internal audit within 6–12 months. AION uses a phased roadmap that prioritises high-risk AI systems and audit-critical controls first.
How does ISO 42001 relate to the EU AI Act?
ISO 42001 defines how to run an AI management system. The EU AI Act sets legal obligations for specific AI use cases. Implementing ISO 42001 helps you meet Act requirements for risk management, documentation, human oversight, and monitoring through a certification-ready structure.
Does AION support us through the certification audit?
Yes. We prepare your organisation from gap analysis and policy design through internal audits and corrective actions. We guide you through accredited certification body audits (BSI, TÜV, and others) and help close findings before and during external assessment.
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