ESENRODEFRIT
Contact

ISO/IEC 42001 · Responsible AI management framework implementation pilot | OCIRIA

First international standard for AI management systems. We prepare you for certification with defined scope and timeline.

ISO/IEC 42001

Implementation pilot for the responsible AI management framework

ISO/IEC 42001:2023 is the first international standard defining the requirements of a management system specific to artificial intelligence. It does not replace the EU AI Act, but it gives you the organisational backbone to comply with it in a demonstrable way. If your organisation already uses AI in any process, or is about to, this is the piece you were missing for the board to sleep at ease.

---

What it is

ISO/IEC 42001 sets requirements to create, maintain and improve an AI management system within an organisation. It is structurally aligned with ISO 27001 (information security) and ISO 9001 (quality), which makes integration easier if you already certify any of these frameworks.

It covers four major blocks: AI organisational governance (who decides, with what criteria and under what supervision), management of the AI system lifecycle (from idea to retirement), specific controls on data, models and outputs (bias, traceability, explainability, human oversight), and continuous improvement based on evidence.

It is not an abstract "ethical" badge. It is a concrete operational framework: with documents, records, roles, evidence and audit. When a customer, regulator or auditor asks how you govern your AI systems, you can show a coherent body of documentation instead of improvising.

The pilot we run prepares your organisation so that an accredited certification body can issue the certificate on first attempt. We do not replace that body. We choose it together at the end of the project if you decide to certify.

---

When you need it

Your corporate customers start asking. An enterprise customer sends a supplier questionnaire that includes specific questions on AI governance: how the model is trained, what data was used, how bias is detected, who supervises outputs, what happens if the model fails. If your product incorporates AI, the question is coming sooner than expected.

You are about to deploy AI in critical processes. You are about to put models into decisions that affect people (candidate selection, customer scoring, support prioritisation, content moderation) or into operations with material impact if they fail (logistics, predictive maintenance, fraud management). The probability of silent error or bias justifies formalising governance before an incident.

You want to get ahead of the regulatory framework. The EU AI Act is in force with a staggered compliance calendar. Prohibitions already apply. Obligations for high-risk systems activate progressively. Having an ISO/IEC 42001 management system in place gets most of the work done before the inspection or requirement arrives.

---

How we work

Phase 1 · Scope and gap analysis (week 1-2). We define together which AI systems enter the scope of the management system (your main product, your internal processes, both), interview technical and business owners, review existing documentation and compare against the standard's requirements. We close with a prioritised gap report.

Phase 2 · Documentary system design (week 3-4). We design AI policy, procedures, records and responsibility matrix tailored to your organisation. We do not copy generic templates: each document is written for your context, size and culture. If you have an existing management system (ISO 27001, ISO 9001), we integrate rather than duplicate.

Phase 3 · Control implementation (week 4-6). We deploy the required technical and organisational controls: records of decisions on models, bias evaluation prior to deployment, human supervision in production, model-failure continuity plan, AI-specific incident management, training of the responsible team and the AI committee.

Phase 4 · Pre-audit and accompaniment (week 7-8). We run an internal audit that simulates the external one, identify findings and close them before the independent auditor arrives. We accompany the external certification audit if you have decided to certify. If you decide not to certify and only keep the framework implemented, we hand over the documentary body and a maintenance plan.

---

What we deliver

---

Who it is for

Companies already deploying AI or about to do so, in sectors where trust and accountability are sales or regulatory conditions.

---

FAQs

Is certification mandatory or can I implement the framework without certifying?

Not mandatory. Many organisations implement ISO/IEC 42001 without certifying, simply to have the framework. Certification adds an external stamp useful when selling to customers who demand it or when wanting to differentiate to regulators.

How long does the project take?

Six to eight weeks in a typical mid-market bounded scope. If the scope covers multiple products or subsidiaries, the calendar is adjusted at kick-off and segmented in waves.

What is the relationship between ISO/IEC 42001 and the EU AI Act?

Complementary. The Act defines what to comply with; the standard defines how to organise the company to comply consistently and demonstrably. Implementing ISO/IEC 42001 facilitates and reduces the cost of complying with the Act.

Do I need ISO 27001 before tackling ISO/IEC 42001?

Not a requirement. The two standards share structure and complement each other, but each can be implemented independently. If you have ISO 27001, we leverage it. If not, it is not a blocker.

Can you issue the certificate?

No. The certificate is issued by an accredited and independent certification body. We prepare you. This separation is structural in the ISO ecosystem and exists to guarantee the independence of the auditor from the party who prepared you.

What happens if during the project we discover the scope is larger than expected?

Calendar and cost are adjusted, always with written sign-off. No surprises at the end. If the scope doubles, we say so as soon as we see it, not in the last month.

---

Typical use cases

Case 1 · The SaaS with recommender model in production. B2B e-commerce company with a proprietary recommender based on learning models. Receives questionnaires from five enterprise customers asking about AI governance. We design management system specific to the recommender, formalise bias evaluation per customer category, set up record of model decisions and response plan when a customer disputes a result. Outcome: passed by all five customers in their annual reviews.

Case 2 · The insurance group with AI in underwriting. European insurance group deploying models to support policy underwriting. Without specific framework, actuarial and data science teams work in silos. We implement management system with monthly AI committee, impact evaluation prior to each model deployment, and ongoing post-production monitoring. External certification obtained in first cycle. Collateral improvement: documentation that reduces subsequent internal audit time.

Case 3 · The industrial integrator with predictive maintenance pilot. Industrial company piloting predictive maintenance with AI in one of its plants, intending to scale it to the other four. We implement the framework before scaling, defining reproducible validation criteria. When they scale to the other plants, the process is already formalised, reducing the learning curve and avoiding reinventing governance in each plant.

---

How to start?

Free initial diagnosis of one week. We review your context, tell you whether ISO/IEC 42001 fits, in what scope we would tackle it and what calendar we estimate. If it is not for you, we say so.

Write to us at [[email protected]](mailto:[email protected])

---

Other services