THE VALUE OF EU AI ACT READINESS
The EU AI Act sets out obligations that vary by an organisation’s role in the AI lifecycle and the risk classification of the systems concerned. It brings governance, transparency, technical documentation, human oversight and post-market monitoring into a single legal framework.
For customers, boards and other stakeholders, well-documented readiness provides credible assurance that the obligations relevant to your role have been identified, assigned and addressed.
Establish whether the organisation is a provider, deployer, importer or distributor for each system, and how obligations map to real activities across the business.
Give leadership a reliable view of AI systems in use, their risk classification, the obligations attaching to each and where action remains outstanding.
Maintain technical documentation, records of testing, human oversight arrangements and post-market monitoring evidence that can withstand regulator, customer and board review.
HOW WE WORK
The Act treats risk by role and system. We help you determine where you sit as provider, deployer, importer or distributor for each AI system in scope, and translate the resulting obligations into governance, technical documentation and post-market monitoring you can actually operate.
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 identify the AI systems within scope, determine the organisation’s role for each and assess whether the system is prohibited, high-risk, limited-risk or subject to general-purpose model rules.
The result is a defensible classification, readiness assessment and implementation plan, with named responsibilities and decisions for leadership.
We develop and embed the policies, risk-management process, data-governance arrangements, technical documentation, human-oversight measures, transparency notices and testing protocols required for the relevant obligations.
The work is designed around how your organisation functions, not around a generic set of templates.
We support conformity assessment where required, coordinate technical documentation, prepare people for regulator and notified-body interaction and establish post-market monitoring.
We then support incident reporting, corrective action and the ongoing cadence of review as systems and obligations evolve.
CONFORMITY SUPPORT
Hael does not issue any conformity decision. Our role is to prepare your organisation for scrutiny by regulators, notified bodies and enterprise customers, and to ensure the arrangements presented are supported by real ownership, operating controls and reliable evidence.
Where a notified body is involved, we help you select an appropriately designated body, prepare the technical documentation, coordinate evidence, brief the people who will be interviewed and support the response to findings. Regulatory and conformity decisions remain entirely with the competent authorities.
Once arrangements are in place, we can continue to support post-market monitoring, incident reporting, corrective action and controlled expansion of scope as new AI systems are introduced.
PLANNING YOUR PROGRAMME
The route to readiness depends on the intended scope, the number and classification of the AI systems involved, the organisation’s role in the lifecycle and the governance already operating. Regulatory timelines under the Act also affect the delivery plan.
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 compliance promise.
Where ISO/IEC 42001, ISO/IEC 27001 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 Act.
CONNECTED REQUIREMENTS
The Act 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.
Use the AI management system as the operating spine that supports the Act’s governance, risk and oversight obligations.
Align practical AI risk-management activities with the classification, documentation and monitoring obligations under the Act.
Integrate data-protection accountability, DPIAs and Article 22 considerations into the governance of AI systems that process personal data.
Reuse compatible management-system structures and control evidence where they support the security requirements attached to high-risk systems.
