Bring structure to your AI initiatives with a solution built for real-world complexity. We help you manage risks, prove compliance, and make every system fit for purpose so you can scale responsible AI with confidence.
To make AI work in the real world, every use case must be assessed and managed across six foundational pillars. Together, these pillars ensure complete risk and quality coverage across the organisation and throughout the AI lifecycle. This structured end-to-end approach is unique to AIQURIS and forms the core methodology our responsible AI methodology.
AIQURIS profiles AI risks across six foundational pillars: safety, security, legal, ethics, performance, and sustainability. These pillars form the complete foundation for responsible AI. With over 200 risk types mapped to this structure, we give you a detailed and contextualised view of risk exposure from day one. Avoid rework, reduce blind spots, and deploy AI systems that are safe, performant, and fully aligned with regulatory and organisational requirements.
For every identified risk, AIQURIS generates a formal set of requirements that guide the entire AI lifecycle – from design and development to deployment, operation, and continual improvement. International standards – ISO, IEC, IEEE, and CEN-CENELEC – are paired with horizontal legislation such as the EU AI Act, while sector frameworks including for instance functional safety for automotive, MDR and FDA QSR for medical devices, and Basel III for financial services capture industry-specific obligations. Your internal policies are woven in as well, creating a single, traceable foundation of governance, technical, and operational requirements for all subsequent assurance work.
We turn requirements into a tailored AI adoption action plan that provides role-specific guidance to procure, deploy and operate AI that is safe, reliable, and compliant. Each step defines what to do, who is involved, and how to apply the right controls across systems, data, and processes. The approach engages all key functions – business, IT, data, legal, risk, compliance, procurement, governance, and engineering – ensuring clear ownership and coordinated action. The result: faster decisions, fewer blockers, and governance that works in practice.
Achieve cross-functional alignment, risk visibility, and audit-ready assurance faster. AIQURIS translates your AI strategy into a unified, execution-ready control plan that scales across the enterprise.
We capture business context such as goals, users, data, and jurisdictions to generate a structured risk profile. Every use case is assessed across technical, legal, ethical, and performance domains.
Risks are translated into control requirements aligned to global standards. We bridge GRC, tech, and business teams to standardise governance across systems and data.
Each use case receives a tailored action plan with embedded controls. These guide your teams through compliant workflows and ensure auditability and ROI from day one.
AIQURIS supports organisations across all sectors. We bring deep expertise in regulated environments such as automotive, healthcare, and finance. At the same time, our solution is flexible enough to adapt to any industry. Whether your focus is compliance, safety, or scale, we help you manage AI risk with structure and confidence.
We bridge innovation and functional safety by digitising safety workflows and aligning teams across disciplines. Our approach maps requirements to standards like ISO 26262, UNECE WP.29, and SOTIF, ensuring traceability, consistency, and compliance.
Align clinical AI systems with privacy and fairness standards. Our solutions govern AI use cases for patient safety, aligning with EU AI Act, GDPR, MDR, and ethical principles for confident scaling in diagnostics and treatment.
Bring structure to fragmented governance frameworks. Track AI use cases, mapping risks comprehensively to MAS FEAT, DORA, and ISO/IEC 42001 for responsible scaling and compliance.
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 to understand how AIQURIS supports risk, compliance, and adoption? These questions help clarify what the solution does, how it fits into your organisation, and what makes it different from checklists or manual workflows.
An AI quality and risk solution helps organisations assess, monitor, and control the risks associated with deploying AI systems. It ensures alignment with standards, improves traceability, and supports responsible, compliant adoption at scale.
AIQURIS translates AI risks into requirements aligned with the EU AI Act, ISO 42001, and other global standards. It helps you document controls, manage high-risk use cases, and stay ahead of audits with traceable, standard-based outputs.
AIQURIS evaluates risks across six domains: safety, security, legal, ethics, performance, and sustainability. It covers over 200 risk types and provides structure for managing them throughout the AI lifecycle.
Yes. AIQURIS complements your existing governance by adding structured risk assessment, automation, and standard alignment. It replaces ad hoc spreadsheets and checklists with consistent, auditable workflows.
No. While it is built for enterprise-grade assurance, AIQURIS supports organisations at all maturity levels. You can start with a single use case and scale as your AI program grows.
