Every AI deployment,
under control.

AI lifecycle management keeps each AI deployment under control, from first idea to retirement.

The risk comes from the deployment: what the AI is used for, where, by whom and with which data. The hazards behind that risk can arise at any point in the AI lifecycle, from data and training to integration, operation and change. So the controls that address them have to be established along the whole lifecycle, not just checked once at go-live.

AI lifecycle management works out the risks, requirements and controls for each deployment, tracks whether the controls are in place at every stage, and keeps them current as the deployment, the regulations or the technology change. AIQURIS is the platform for it.

Start with IMPACT+. The deployment's impact and risk decide how deep you need to go.

IMPACT+ screens the deployment: who could be harmed, and how badly. It sets an impact tier and routes you to limited follow-up or to RISK+. RISK+ builds the risk profile across all six risk domains, with the applicable requirements and high-level controls as a checklist, and recommends whether to proceed or move to CONTROL+. CONTROL+ goes clause by clause through the relevant standards, regulations and your own policies, specifies the controls in detail and determines the remaining risk against your risk appetite.

CONTROL+ is not only for high-risk deployments: use it wherever you need that depth. Not sure where to start? The AI Deployment Assessment Sprint is the guided way in.

Any AI deployment, whether you build it or buy it.

This includes, for example, predictive and machine-learning systems, computer vision, generative AI such as chatbots, copilots and assistants built on large language models, and agentic AI. It covers systems developed in-house as well as AI bought from vendors; for bought AI, the vendor is part of the assessment.

What matters is not the technology but the deployment: the same model can carry very different risks in different uses. Deployments where AI controls safety-relevant hardware are scoped individually in a first call.

ISO/IEC 42001 certifies your AI management system. AIQURIS makes it concrete for each AI deployment, and that makes certification much easier to prepare.

ISO/IEC 42001 requires organisations to assess the risks and impacts of their AI systems and to establish controls across the AI lifecycle. AIQURIS does exactly that, deployment by deployment, and produces the documented, traceable basis an auditor expects to see.

It also shows which requirements of the standard your organisation actually needs, and in what depth, given the AI deployments it really has. That puts your management system and its Statement of Applicability on a factual basis, instead of implementing everything just in case.

AIQURIS is not a certification body: its outputs support a certification audit but do not determine its outcome. The AIQURIS founders were actively involved in developing ISO/IEC 42001.

Yes. For every deployment in the EU, AIQURIS works out which EU AI Act obligations apply and whether they are met.

What the AI is used for, and in which context, sets its risk classification under the Act, and with it obligations such as human oversight, transparency, data governance and record-keeping. AIQURIS turns them into requirements, links them to the controls that meet them and records the evidence, in the same assessment as data protection law and the other sources that apply.

The AIQURIS team sits on the committees that write the standards, so it knows the harmonised standards being developed for the EU AI Act and how to interpret them. AIQURIS does not give legal advice, and the decision stays with you.

The ones that apply to your deployment, worked out for its use and its jurisdiction.

AIQURIS maintains the governing sources for you: regulations such as the EU AI Act and data protection law, international standards such as ISO/IEC 42001, ISO/IEC 25059 and ISO/IEC 5259, industry frameworks, and your own internal policies where relevant.

Singapore, the EU, the UK, Australia and the US are covered as standard. Other jurisdictions are available on request.

AIQURIS does not replace your GRC platform; it feeds it. It provides the deployment-specific AI risks, requirements and controls that a general governance, risk and compliance environment usually does not contain.

The results can be mapped into the structure you already use, from an Excel control register to an enterprise GRC system. AIQURIS is API-based, so outputs can be integrated directly, subject to your required format and your GRC provider allowing the integration. The aim is not a parallel AI risk process, but AI-specific detail inside the risk and control environment you already run.

It looks at two things: the AI solution and how the vendor develops and governs it.

For the solution, AIQURIS asks for evidence matched to the identified risks, such as accuracy, robustness or penetration test results, or data-quality evidence. For the vendor, it covers development processes, training data, data governance and organisational controls.

Vendors do not just answer yes or no. Where it matters, they must provide reports, test results or certifications. Missing evidence is never treated as a requirement met: less transparency means more uncertainty, a potentially higher assessed risk and additional controls. Material vendor statements should then be reflected in the contract, so the vendor is accountable for them.

No. AIQURIS determines which testing a deployment actually needs.

The sequence is the same as in security: first establish what can go wrong and which requirements apply, then decide on the controls. Those controls may include penetration testing, robustness testing, data-quality testing or other technical validation. Testing without that step risks being arbitrary: you test what is easy to test, not what matters. Where your risk appetite calls for independent testing in a particular area, it becomes one of the required controls.

In two steps. First, AIQURIS identifies which regulatory, cybersecurity and standards documents apply to the deployment and its jurisdiction, drawing on its regulatory knowledge, research and external sources where appropriate.

Second, those documents go through the same method as every other governing source and are translated into deployment-specific requirements and controls. Cybersecurity is therefore not a separate exercise but part of the same structured assessment, alongside the other five risk domains.

Your organisation. AIQURIS gives you a documented, traceable basis for the decision, but the decision to deploy, and to accept the remaining (residual) risk, stays with you.

Because the method is standards-based, repeatable and recorded, the assessment also shows which method and state-of-the-art practices were applied at the time. That helps you demonstrate due diligence later, to auditors, regulators or your board.

No. AIQURIS does not give legal advice. It carries out a compliance assessment: it identifies which regulatory requirements apply to a specific AI deployment and assesses whether they are met.

A lawyer interprets the law. AIQURIS translates the applicable requirements into concrete requirements and controls for that deployment, much as technical certification does for products. The advantage over a purely manual approach is consistency: two consultants may assess the same deployment differently, while AIQURIS applies the same method and the same six risk domains every time. Your legal and compliance teams stay in charge, with a structured basis to work from.

A description of the deployment. Access to the AI system itself is only needed where the assessment calls for it.

AIQURIS needs to understand the deployment: its purpose, users, data categories, jurisdiction, the system and vendor, and the controls already in place. The assessment does not need access to the AI system, your models or your production data. Access only becomes relevant once a specific requirement calls for it, for example a penetration test or a monitoring solution, and then only for that purpose. Where evidence is needed, such as test reports, you share the documents.

All information is protected and encrypted in line with current best practice. If it must not leave your own environment, AIQURIS can run inside it.

Yes. The AIQURIS platform is containerised and can run in any environment, including your own cloud or on your premises.

The language model component can run inside it too, as a containerised model, where one is available and accepted by your organisation. Deployment information, source documents and results then stay inside your perimeter.