THE VALUE OF ISO/IEC 42001
ISO/IEC 42001 brings the governance of AI into one coherent management system. It gives leadership a structured way to define accountability, manage risk, oversee the use of AI and improve controls as the organisation changes.
For customers, boards and other stakeholders, independent certification provides credible assurance that the management system has been assessed against an international standard.
Bring policies, ownership, risk decisions, operational controls and oversight into a management system that people across the organisation can follow.
Give leadership a reliable view of where AI is used, who is accountable, how material risks are treated and where action remains outstanding.
Demonstrate that your AI management system has been independently assessed, without presenting certification as a substitute for legal compliance or sound judgement.
HOW WE WORK
Certification is a milestone, not the objective. The point is a management system that stands up when a customer, board or regulator asks what the organisation is doing about AI. We work with the people responsible for AI decisions to make that answer real.
OUR APPROACH
Hael provides the specialist capacity, structure and judgement needed to move the programme forward. We work across leadership, legal, risk, security, product and engineering, while ensuring that ownership remains within your organisation.
We establish the intended scope of the AI management system, the entities and AI systems involved, the organisation’s role in the AI lifecycle and the governance already in place.
The result is a clear scope, readiness assessment and implementation plan, with named responsibilities and decisions for leadership.
We develop and embed the policies, objectives, accountability, AI inventory, risk and impact assessment processes, control framework, Statement of Applicability and supporting operating procedures.
The work is designed around how your organisation functions, not around a generic set of templates.
We help teams operate the controls, assemble the evidence, complete internal audit with appropriate independence, conduct management review and resolve findings before external assessment.
We then support preparation for Stage 1 and Stage 2, including evidence coordination, interview readiness and remediation.
CERTIFICATION SUPPORT
Hael does not issue the certificate. Our role is to prepare your organisation for assessment by an independent certification body and to ensure the management system presented for audit is supported by real ownership, operating controls and reliable evidence.
We help you select an appropriately accredited certification body, prepare the audit plan, coordinate evidence, brief the people who will be interviewed and support the response to findings. Certification decisions remain entirely with the certification body.
Once certification has been achieved, we can continue to support the surveillance cycle, internal audit, management review, corrective action and controlled expansion of scope.
PLANNING YOUR PROGRAMME
The route to certification depends on the intended scope, the number and maturity of the AI systems involved, the governance already operating and the quality of available evidence. Certification-body availability also affects the final audit timetable.
We establish these facts before committing to a delivery plan. You receive a defined scope, workstreams, responsibilities, timetable and fee, based on the organisation you have rather than a generic certification promise.
Where ISO/IEC 27001, SOC 2 or established risk-management processes are already in place, we reuse relevant structures and evidence. We identify what transfers, what needs adapting and what must be created specifically for the governance of AI.
CONNECTED REQUIREMENTS
ISO/IEC 42001 should strengthen existing governance rather than create a parallel compliance structure. We map relevant controls, processes and evidence across related frameworks while preserving the distinct purpose of each one.
Connect the management system to the obligations that apply to your role and AI systems, without presenting certification as a substitute for legal compliance.
Align practical AI risk-governance activities with the organisation’s wider management system and decision-making processes.
Integrate data-protection accountability, assessments and evidence into the governance of AI systems that process personal data.
Reuse compatible management-system structures, risk processes and control evidence where they are relevant, while addressing the additional requirements specific to AI.
