Standing for AI Quality & Risk, AIQURIS is a TÜV SÜD venture founded by Dr Andreas Hauser and Dr Martin Saerbeck. They built TÜV SÜD’s global AI quality capabilities and helped to shape the international standards governing AI.
Recognising a critical gap in the market, they established AIQURIS to provide organisations with a practical way to ensure that AI works as intended, stays safe and remains compliant for each use case in its deployment context.
For each use case, AIQURIS determines whether the AI performs as required, identifies potential risks and their severity, and specifies the requirements and controls needed to ensure performance, safety, and compliance.
It produces the structured outputs and evidence required for deployment decisions and ongoing control. The result is a rigorous, structured solution that ensures each use case is under control.
Most organisations rely on frameworks, documents, or fragmented processes, but cannot clearly demonstrate whether their AI use cases are safe, fit for purpose, and compliant, or defend their deployment decisions to regulators, auditors, or the board.
AIQURIS is not a framework or a report. It is a live platform that shows you exactly where each AI use case stands, what has been assessed, which controls are in place, and what still needs to be addressed. Every finding is traceable. Every requirement is assigned. Nothing is left to interpretation, and every decision is traceable and defensible.
As your requirements grow, IMPACT+ and RISK+ naturally evolve into CONTROL+, moving from targeted assessments to full, continuous control of your entire AI portfolio.
The AI use case register is a live, structured record of every AI use case, capturing its risk profile, required controls and current state. Every assessment through AIQURIS is automatically registered and tracked, starting with basic impact data in IMPACT+, then being enriched with risk assessment data in RISK+ before becoming a full lifecycle record in CONTROL+.
CONTROL+ is designed to manage AI risk and quality across multiple use cases and teams.
IMPACT+ uses an AI-guided conversation to capture everything needed to assess your use case, producing a clear picture of stakeholder impact, risk exposure and next steps in a single session with no expert required. You receive a harm and impact assessment for all stakeholder groups, a risk signal map for all risk and quality dimensions, and a formal verdict on whether a risk assessment is required. This is aligned with ISO 42005.
Quick check for your AI use case
From SGD 149 per use case*
Follow our structured, AI-guided risk assessment process to make a defensible deployment decision in a single session without consulting an engagement specialist. You will receive a structured risk assessment covering high and critical risks, specified essential controls, and a formal go/no-go deployment decision supported by the necessary evidence. Aligned with ISO 42001, ISO 23894 and ISO 42005.
Confidence before go live
From SDG 1,490 per use case*
CONTROL+ provides a structured and evidence-based approach to managing the risks associated with your AI use cases, offering full visibility, verified controls and a comprehensive audit trail. It covers the entire risk and quality spectrum at all levels of risk, with engineering-level requirements and controls specified for governance, processes and technology, and verified by both the deployer and the provider. The result is assurance: a state that every stakeholder, from the board to the regulator, can rely on.
Continuous control and compliance
Price on request
*Price applies when purchasing a minimum of 3 use cases
Features
Question answered
What AI use cases do we have, what could go wrong, and where do we need to act?
Can we deploy this AI use case? Is it safe, fit for purpose, and compliant?
How do we get our AI use cases under structured, continuous control?
Decision
Risk assessment required or not
Deployment decision based on identified risks and required controls
Deployment decision based on actual risk exposure and organisational risk appetite
AI use case register
Basic entry with impact data
Enriched with risk assessment data
Full lifecycle record
Harm and risk assessment
Stakeholder harm and impact assessment
+ Detailed findings for high and critical risks
+ Full risk profile across all risk levels
Controls specified
–
Most essential
All controls, standards-mapped
Controls verified & implemented
–
–
Across deployer & provider
Ongoing risk and quality management
–
–
Active
Audit-ready evidence
For impact and triage
For deployment decision
Full lifecycle evidence
AIQURIS operates across three interconnected capabilities, moving from understanding risk, to defining the necessary requirements, to demonstrating control.
All of this is anchored in the AI use case register, which is a live, structured record of every assessed use case, its risk profile, the required controls, and its current state.
Every AI use case starts with an unmitigated risk profile which shows exactly where exposure lies across all six dimensions: safety, security, legal, ethics, performance, and sustainability. As controls are implemented, the profile is updated to reflect what has been mitigated and what remains. No blind spots. No assumptions.
For each identified risk, the platform defines concrete requirements and controls across governance, process, and technology, all mapped to relevant standards, regulations, and internal policies. You can clearly see what is required, why it matters, and how to determine when it has been fulfilled.
Track the implementation of each requirement across both deployer and provider. As gaps are closed, risks are reduced and control is established. The result is assurance: a verified, evidence based state that every stakeholder, from the board to the regulator, can rely on.
Industry leaders across sectors recognise, AIQURIS as a unique solution. From automotive to government, clients uncover hidden risks and accelerate AI maturity beyond internal efforts.
Head of AI Data and Compliance
German Automotive Company
“The IT Solution presented is the first in the market, that closes the gap by combining AI risk management and requirements from technical standards in a tool-based way.”
AIQURIS is a TÜV SÜD venture, bringing 160 years of safety, quality, and certification expertise into AI risk and quality management. This foundation gives your organisation access to the same rigour and independent credibility trusted by leading industries worldwide. When regulators, auditors, or the board ask whether your AI is under control, your answer is backed by an authority they recognise.
The regulatory landscape for AI is evolving rapidly. From the EU AI Act to ISO standards and national frameworks, expectations around safety, accountability and performance are becoming more specific and enforceable.
AIQURIS is built by contributors to these global standards. We combine this insight with a practical, structured approach that helps you stay ahead of change, align with current and future requirements, and keep your AI use cases safe, compliant and under control.
AI does not follow fixed rules anymore, and neither should your governance.
Discover our latest white paper to see how AI Assurance helps you move beyond static frameworks to real, measurable impact. You will gain practical insights on identifying evolving AI risks, aligning with new regulations such as the EU AI Act, and building lasting trust in your systems from the first idea to large-scale deployment.
Whether you're interested in our technology, looking to collaborate, or just want to learn more about AIQURIS, we are happy to advise. Let us know what you need and we will connect you with the right expert.
Talk to an AI adoption expert to assess risks and accelerate AI deployment.
Looking for clarity on AI assurance, governance or adoption? These frequently asked questions address common challenges and help you understand how to manage AI responsibly across your organisation.
Start by understanding the risks and defining clear requirements. Responsible AI means aligning performance, safety, ethics and compliance from the start. AIQURIS helps structure this process across teams by linking risk assessment, requirements and controls within one platform.
AI governance works best when legal, risk, IT, procurement and business leaders all collaborate. AIQURIS provides each role with tailored guidance, so every team contributes effectively within one shared structure.
Internal tools often miss context, traceability and cross-functional alignment. AIQURIS replaces fragmented workflows with a unified platform that automates assurance steps, connects teams and maintains full audit visibility.
Yes. Many organisations begin with a single use case and scale over time. AIQURIS supports assurance at every maturity level, from early pilots to enterprise-wide adoption.
Features
Question answered
What AI use cases do we have, what could go wrong, and where do we need to act?
Can we deploy this AI use case? Is it safe, fit for purpose, and compliant?
How do we get our AI use cases under structured, continuous control?
Decision
Risk assessment required or not
Deployment decision based on identified risks and required controls
Deployment decision based on actual risk exposure and organisational risk appetite
AI use case register
Basic entry with impact data
Enriched with risk assessment data
Full lifecycle record
Harm and risk assessment
Stakeholder harm and impact assessment
+ Detailed findings for high and critical risks
+ Full risk profile across all risk levels
Controls specified
–
Most essential
All controls, standards-mapped
Controls verified & implemented
–
–
Across deployer & provider
Ongoing risk and quality management
–
–
Active
Audit-ready evidence
For impact and triage
For deployment decision
Full lifecycle evidence
