Service

ISO 42001 AI Management System Consulting

Govern AI with the same discipline you bring to quality, security, and safety: scoped, risk-based, documented, and auditable.

What it is

The international AI management system standard

ISO/IEC 42001 specifies requirements for establishing, implementing, maintaining, and continually improving an artificial intelligence management system. It applies to organizations that provide or use AI-based products and services.

The standard helps organizations manage AI risks and opportunities across governance, lifecycle controls, data, transparency, accountability, security, monitoring, internal audit, management review, and continual improvement.

Who needs ISO 42001?

AI product teams

  • Companies building AI-enabled products
  • Teams needing repeatable model and data controls
  • Organizations preparing for customer AI governance reviews

AI users and operators

  • Businesses deploying third-party AI in operations
  • Regulated teams using AI for decision support
  • Leaders needing oversight of AI risks and responsibilities

Companies with adjacent compliance

  • Pairs naturally with ISO 27001 security controls
  • Supports privacy, vendor, and risk-management programs
  • Fits into integrated ISO management systems

Our approach to ISO 42001

Responsible AI governance, built like a management system.

  1. 1

    AIMS scope and gap analysis

    Define AI use cases, interested parties, boundaries, current controls, and gaps against ISO/IEC 42001.

  2. 2

    AI risk and impact controls

    Build risk assessment, impact assessment, accountability, data, transparency, and human-oversight processes.

  3. 3

    Lifecycle governance

    Document controls for AI design, procurement, deployment, monitoring, change, incident response, and retirement.

  4. 4

    Internal audit and certification support

    Run the audit rehearsal, package management-review inputs, close findings, and support certification readiness.

What you get

AI system inventory and scope

Clear boundaries for in-scope AI systems, owners, use cases, and stakeholders.

AI policy and governance model

Roles, responsibilities, review boards, escalation paths, and approval criteria.

AI risk assessment method

Repeatable process for risk identification, evaluation, treatment, and acceptance.

Lifecycle control procedures

Controls for development, acquisition, data, validation, monitoring, change, and decommissioning.

Transparency and evidence templates

Documentation packs for intended use, limitations, monitoring results, and audit evidence.

Internal audit and management review

One complete AIMS audit cycle and management-review inputs for certification readiness.

Related services

ISO 27001

Information security management for the systems, vendors, and data behind AI.

Learn more

CMMC / NIST 800-171

Security controls and risk management for regulated technology environments.

Learn more

ISO 20000-1

Service management controls for technology teams operating AI-enabled services.

Learn more

Internal Auditing

Independent audits that keep AI, security, and ISO systems ready for external review.

Learn more

Ready to govern AI responsibly?

We’ll help you scope ISO 42001, identify governance gaps, and build an auditable AI management system.

Start Your Audit-Ready Plan Today