Passes enterprise AI reviews
Large customers now run AI governance questionnaires before adopting AI features. A certified management system answers them in one document.
ISO 42001 Consulting · AI Management Systems
ISO 42001 consulting: AI governance you can prove
ISO/IEC 42001 is the international standard for managing artificial intelligence responsibly. We take you from gap assessment through AI impact assessment, controls and internal audit to certification readiness — we prepare you; an accredited certification body issues the certificate.
AI inventory
Impact assessment
AIMS
AI controls
Internal audit
Certification ready
Accountable AI
We prepare, you certify
Structures AI development
Inventory, impact assessment, data governance and monitoring turn AI work from heroics into a repeatable, reviewable process.
Reduces AI risk early
Systematic impact assessment finds bias, privacy, security and misuse risks before your users, press or regulators do.
Supports regulatory readiness
Governance practices demanded by emerging AI regulation — inventory, impact assessment, human oversight, monitoring — are what ISO 42001 operationalises.
Pairs with ISO 27001
Information security and AI governance share policies, risk processes and audits. Many clients run both systems side by side.
Differentiates responsibly
In markets flooded with AI claims, a third-party-audited management system is proof you take the responsibility seriously.
Gap assessment
We review your AI systems, teams, documentation and practices against ISO 42001 clauses and Annex A controls. You get a gap report showing what you already meet, what is missing and a prioritised action plan — so you know where you stand before spending on implementation.
AI system inventory
We build a register of your AI systems: purpose, data, models, users, decisions influenced and owners. You get the inventory every other AIMS activity depends on — and often a surprise or two about AI already running in production.
AI impact and risk assessment
For each system, we assess impacts and risks — accuracy, bias and fairness, privacy, security, safety and potential misuse — by likelihood and impact, and decide treatments. You get impact assessments and a prioritised risk treatment plan.
AIMS design and documentation
We write or tailor the documents the standard expects: AI policy, objectives, impact assessment procedure, data governance, system lifecycle procedures, human oversight rules, documentation and monitoring requirements — written for your company, not copied templates.
Implementation support
We help put the controls into practice: review gates before AI releases, data quality checks, evaluation testing, human review for high-stakes decisions, and production monitoring. You get controls working in daily operations — which is what auditors verify.
Awareness training
Short sessions for all staff and deeper workshops for product, engineering and data teams on the AIMS, impact assessment and incident handling. People are where AI governance succeeds or fails.
Internal audit and management review
We perform a mock audit and help leadership hold the required management review — so surprises are found and fixed before the real certification audit.
Certification audit support
We help you choose an accredited certification body, prepare for Stage 1 and Stage 2 audits and close any findings — a smoother audit and a faster path to your certificate.
AI product companies
Certified governance is a differentiator when enterprise buyers compare you against unproven competitors.
SaaS adding AI features
Assistants, search and automation inside an established product still need inventory, impact assessment and monitoring.
Enterprises deploying AI
Internal AI adoption at scale needs ownership, policies and review gates — or every team improvises.
Regulated industries
Finance, healthcare and education need documented oversight before AI touches consequential decisions.
AI-first startups
Investor and customer due diligence increasingly asks how AI is governed — early structure avoids a scramble later.
Companies answering AI questionnaires
Vendor assessments asking for your AI policy, risk process and monitoring approach are answered by one certified system.
Practitioners, not just auditors
We build chatbots, calling assistants and document pipelines for a living, so impact assessments and controls reflect how AI projects really ship.
One team for AI and security
Security and AI governance overlap in data, model access and monitoring. One team covering both keeps evidence consistent.
Plain-language documentation
Policies and procedures written so your engineers and product managers will actually follow them — not consulting filler.
Fixed-scope packages
Fixed-scope packages with clear timelines. We quote after the gap assessment; certification body fees are separate.
AI governance
An international standard, published in 2023, for managing artificial intelligence responsibly. Certification covers your AI Management System — policy, processes, impact assessment, controls and evidence — not an individual AI model.
ISO 27001 certifies how you protect information; ISO 42001 certifies how you manage AI. Both are management-system standards with the same shape — policy, risk, controls, audit, improvement — so running them together saves effort.
An accredited certification body. We prepare you and support you through the audit; the certificate is valid for three years with annual surveillance audits.
If enterprise buyers, investors or partners ask how you govern AI — yes. Even without a customer asking, the inventory and impact-assessment discipline catches problems early. We scale the AIMS to your size.
No regulation is "certified" by a private standard. What ISO 42001 gives you is the governance machinery — inventory, impact assessment, oversight, monitoring, documentation — that AI regulations around the world increasingly expect you to demonstrate.
Typically 3 to 6 months, depending on the number of AI systems in scope and your current documentation maturity.
It depends on size, scope and current maturity. We provide a fixed quote after the gap assessment. Certification body fees are separate.
Yes. Shared policies, risk processes and audit cycles make a combined programme more efficient than two separate ones — many clients run them side by side.
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