Our work is tailored to each organization's context, systems, and constraints. Drawing on expertise in computer science, law, and ethics, we assess AI systems across technical, legal, and societal dimensions.
We support organizations in translating Responsible AI principles and requirements into operational governance across the full AI lifecycle. This includes assessing existing practices, identifying gaps, and defining governance controls, documentation, and oversight mechanisms appropriate to system risk, organizational maturity, and regulatory context.
We assess AI systems for safety and security risks, including failure modes, misuse scenarios, and adversarial behaviors. Red teaming activities test system behavior under realistic conditions, stress assumptions and safeguards, and inform risk mitigation strategies, governance controls, and oversight decisions across the system lifecycle.
Our audits evaluate AI systems to identify, prioritize, and reduce technical, legal, and organizational risk across design, deployment, and use. Assessments are scoped to the system and context, producing clear risk ratings and mitigation recommendations to guide controls, oversight, and compliance.
We help organizations define evaluation and monitoring approaches for AI systems over time, including guidance on appropriate metrics, testing and validation practices, documentation standards, and review processes aligned with real-world use and evolving risk profiles.
We help organizations define Responsible AI objectives, priorities, and scope in line with their use of AI, risk profile, and regulatory environment. This includes clarifying strategic intent, aligning governance goals with organizational maturity, and establishing a coherent foundation to guide policy development, oversight structures, and decision-making processes over time.
We assess AI systems and governance arrangements against applicable legal and regulatory requirements, with a focus on compliance with the EU AI Act and relevant frameworks in Saudi Arabia, across the GCC, and internationally. Work typically includes clarifying obligations, evaluating governance and documentation, and identifying gaps that may affect regulatory readiness and defensibility.
We support organizations in developing governance structures, policies, and internal processes for overseeing AI systems. This work focuses on clarifying roles, decision points, documentation practices, and accountability mechanisms appropriate to organizational scale and regulatory context.
We design and deliver training sessions and workshops for technical and non-technical audiences. Sessions are tailored to organizational roles and objectives, with a focus on building shared understanding of AI risk, responsibility, and decision-making in real-world contexts.
We deliver independent AI governance across the full system lifecycle, integrating technical evaluation with legal and ethical oversight.
Coverage from strategy and design through deployment and post-deployment oversight — not a one-time checklist.
Technical evaluation integrated with legal compliance and governance analysis. AI risk rarely fits neatly into a single discipline.
Objective advice, assurance, and audit where trust matters most. We have no stake in the systems we assess.
Aligned with regional regulatory and delivery requirements while remaining internationally applicable. Governance that fits your actual situation.
Tell us about your organization and we'll scope the right engagement.