Every AI system with its risks identified, its controls defined and its evidence tracked, without adding headcount. AIQURIS takes on the work of an AI governance manager, with its platform and experts, and hands it over when your team is ready. Your team keeps full oversight and makes every go-live decision.
For legal, compliance, risk and IT teams that are already at capacity, and the business owners waiting for their decisions.
Keeping a list of your AI systems is the easy part. Answering these questions for every system, and again whenever something changes, takes specialist judgement and time.
“Everyone agrees AI needs human oversight and a way to stop it. Nobody tells you what that means for the system in front of you.”
Regulations, standards, your own policies and your clients’ contracts all set requirements. Which ones apply differs by AI system, sector and country.
Every AI system can fail in dozens of ways, some likely, some rare, and not all of them are obvious.
The same failure can be a nuisance in one place and serious harm in another.
Some failures you can live with; others must not happen. Where the line sits is your decision.
Not always: it depends on what the system does. And a good test score says little about how it copes with real, messy input.
Get these answers wrong, and you either hold back useful AI or let risky AI through.
A named key expert is accountable for your account, and every high-risk AI system is reviewed by a senior expert before results reach you.
From personal productivity tools to agents and AI in operations, each with its own purpose, data and users. Each AI system carries its own risks, so different requirements apply and different controls are needed. A general AI policy does not say which ones apply to which AI system.
Legal, compliance, risk and IT teams are fully loaded with their day-to-day work. Hiring an AI governance manager takes months, and one person rarely covers safety, security, performance, legal compliance, ethics and sustainability.
Regulators, auditors, the board and customers want evidence that your AI is under control. Each asks in its own way and at its own time.
Your AI policy sets the direction. Applying it to every AI system takes capacity few teams have. Meanwhile, AI projects stall in pilot or go live with risks nobody has checked.
IMDA Spark Company · AI Verify Foundation member
The team sits on the committees that write the AI standards.
Each AI system gets the controls it needs, and no more. Go-live decisions rest on a clear basis, not on guesswork.
Risks are known and controls are specified across safety, security, performance, legal compliance, ethics and sustainability, with the evidence on record.
Requirements from regulations, standards, your own policies and customer contracts sit in one AI register, a list of all your AI systems with their risks, controls and status. Requests are answered from one record, not rebuilt each time.
Your team learns the process as it runs and takes it over when ready.
Capacity now. Capability when you are ready.
See the work we would take off your team, and what it costs, before you commit to more.
Match the level to your capacity today, and change it as your team gains capability or you add AI systems. Typically far more cost-effective than building the capability in-house. The Sprint shows the comparison for your case. The AI register and the process carry over at every level.
Bars show the indicative share of the day-to-day work. Decisions stay with your team at every level.
Keep it, reduce it, or take it in-house.
Managed AI Governance combines the AIQURIS platform with expert judgement. A low-risk AI system gets a light check. A high-risk one gets a full review.
Purpose, users, data and context.
The platform identifies the risks, requirements and controls. Experts apply judgement.
You approve the controls and put them in place.
The platform checks the evidence and the remaining risk. Experts recommend.
You decide whether to accept the remaining risk.
The platform updates the assessment when you report a change.
Shown for the fully managed level. In the partly managed level, your team runs the assessments in step 2 on the platform and AIQURIS reviews them.
One real AI system, with your stakeholders. You get its risks and controls, an action list with owners, and a clear view of the work we would take off your team and what it would cost compared with doing it in-house.
About the Sprint →Together we list your current and planned AI systems. Your policies and the standards and regulations that apply are set up on the platform. Your current AI systems are reviewed, starting with those that matter most.
AIQURIS reviews new and changed AI systems, follows up the evidence, keeps the AI register current and trains your team. A quarterly review tracks progress, including readiness for ISO/IEC 42001.
You see results before you commit to more.
You are. AIQURIS runs the process and recommends. Your team decides whether to accept the remaining risk and makes every go-live decision.
Yes. The levels of support are built for it. Your team takes over step by step, and the AI register and the process carry over.
Yes. You can step down or end the service, and you can export your data at any time.
A named contact for about two to four hours a week, plus time from the people involved in each assessment. Implementing the controls takes time from IT, security and the business owners, depending on the actions.
The regulations, standards and frameworks that apply to each AI system, your own policies, and the AI requirements your customers set. Each control is linked to its source.
Not on its own, but it builds much of what an ISO/IEC 42001 audit looks for. Each AI system that goes through the service adds to it: assessed risks, defined controls, evidence on record and a current AI register. Your maturity builds AI system by AI system, and every quarterly review shows what is still open. In ISO terms, AIQURIS runs the core processes of your AI management system: risk and impact assessment, controls, evidence and the AI register. You own the system. The certification audit itself is carried out by an accredited body.
Not for the assessment itself. It is based on a description of the AI system. Access is needed only where a specific control calls for it, such as a penetration test or monitoring of the system in operation.
In your own separate environment on the AIQURIS platform, or in your own cloud if you prefer.
By the level of support and the number of AI systems. After a first call, you receive a proposal.
Each situation has its own AIQURIS solution. With Managed AI Governance, AIQURIS runs them for you, in one AI register.
One AI register for every AI question you face.
Tell us what is planned. In one call we map your AI systems, the level of support that fits and where to start.
