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Assess your AI readiness
Within Compliance

AI governance & compliance · ISO/IEC 42001, AI Management Systems

Govern AI responsibly. Manage risk. Build trust.

AI creates significant opportunities, but it also introduces new governance, security, data, transparency and operational risks.

Cyvian helps organisations establish, assess and improve an Artificial Intelligence Management System (AIMS) aligned with ISO/IEC 42001, providing a structured approach to the responsible development, deployment and use of AI.

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  • Governance
  • Readiness
  • AI risk
  • Assurance
  1. 1AI in useThe systems, data and suppliers already in the organisation
  2. 2GovernanceRoles, policies, objectives and management oversight
  3. 3Risk and impactRisk assessment, impact assessment and treatment planning
  4. 4Controls and evidenceProcesses, documentation and the record that shows they run
  5. 5ImprovementReview, measure and improve, cycle after cycle
Fig. 1A management system around the AI an organisation already uses: governance above, the systems and data below, and a cycle that keeps both under review.

What Cyvian can provide

Four ways into an AI management system

Each can be engaged on its own, whether you are setting up AI governance for the first time or measuring an existing approach against the standard.

01 / 04

AI Governance & Strategy

Establish effective oversight of AI.

  • AI governance frameworks
  • Roles, responsibilities and accountability
  • AI policies and standards
  • AI strategy and objectives
  • AI acceptable-use requirements
  • Management oversight and reporting
  • Integration with existing governance
02 / 04

ISO/IEC 42001 Readiness Assessment

Understand your current position.

  • AIMS readiness assessment
  • ISO/IEC 42001 gap assessment
  • Existing control review
  • AI governance maturity assessment
  • Evidence and documentation review
  • Prioritised findings
  • Remediation roadmap
Assess your readiness
03 / 04

AI Risk & Impact

Understand and manage AI-related risk.

  • AI risk identification and assessment
  • AI system impact assessments
  • Data and information risks
  • Security and privacy considerations
  • Transparency and explainability
  • Supplier and third-party AI risk
  • Responsible AI considerations
  • Risk treatment planning
04 / 04

Implementation & Assurance

Move from requirements to an operational AIMS.

  • AIMS design and implementation
  • Policies, processes and controls
  • Risk and control frameworks
  • Documentation and evidence
  • Staff awareness and guidance
  • Internal readiness reviews
  • Remediation support
  • Continual improvement

ISO identifies areas including security, safety, fairness, transparency, data quality and third-party management as considerations for AI management systems.

Assessment approach

From what you run today to a system you can evidence.

The same method used across Cyvian assessments, applied to AI: understand what is in use, measure it against the requirement, and build the governance that closes the distance.

  1. 01

    Discover

    Understand AI use, systems, stakeholders and objectives.

  2. 02

    Assess

    Review governance, risk, processes and controls.

  3. 03

    Gap analysis

    Assess the current environment against ISO/IEC 42001 requirements.

  4. 04

    Design

    Develop the target AIMS, governance and controls.

  5. 05

    Implement

    Support policies, processes, evidence and improvements.

  6. 06

    Assure

    Review effectiveness and support continual improvement.

From information security to AI governance

Build on the controls you already have.

Organisations with established information security, risk and governance frameworks do not need to start again. Cyvian can help integrate AI governance with existing management systems and organisational processes.

Fig. 2ISO/IEC 42001 is a management system standard, so it can sit on the risk and governance structure an organisation already runs.
  1. 1ISO/IEC 27001Information security management already in place
  2. 2ISO/IEC 42001AI management built on the same foundation
  3. 3Risk and governanceOne set of roles, risk processes and reporting
  4. 4Responsible AIThe outcome the two systems support together
Responsible AI by designAI Design Governance, risk and responsible AI principles built into the solutions we design.

AI governance and compliance

Start with where your AI actually stands.

A readiness assessment against ISO/IEC 42001 gives you a clear view of current AI use, the governance around it and the work needed to bring the two together.

Assess your AI readiness

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