Independent AI Audit, Governance Review, and Compliance Assessment
As organizations increasingly rely on Artificial Intelligence, independent assurance becomes critical. Sokrab Saudi provides specialized AI Audit services designed to evaluate governance, controls, compliance, security, and operational effectiveness.
AI Governance Audit
Reviewing AI governance structures, policies, responsibilities, and oversight mechanisms.
AI Risk and Compliance Audit
Assessing AI-related risks and evaluating compliance with internal policies and applicable regulations.
AI Usage Audit
Reviewing how Artificial Intelligence tools are being used across the organization and identifying opportunities for improvement.
AI Data Protection Audit
Evaluating privacy controls, information security measures, and data protection practices within AI environments.
AI Controls Assessment
Assessing internal controls surrounding AI implementation and use.
AI Maturity Assessment
Measuring the organization's AI maturity level against recognized best practices and industry benchmarks.
AI Implementation Review
Conducting independent reviews of AI projects to evaluate effectiveness, return on investment, and achievement of objectives.
Related Services
Explore other services related to this page.
- Artificial Intelligence (AI) in Saudi Arabia
- AI Consulting Services in Saudi Arabia
- AI Agent Development in Saudi Arabia
- AI Implementation in Saudi Arabia
Official resource: Saudi Data and AI Authority (SDAIA)
Frequently Asked Questions
Answers to the questions we hear most from clients in Saudi Arabia.
An AI audit reviews how your AI systems are governed, how they handle data, whether outputs are monitored, and whether the deployment meets internal and regulatory risk standards.
Businesses commission AI audits to catch governance gaps, reduce compliance risk, and build confidence in AI systems before scaling their use.
Yes, data handling and privacy exposure are core parts of an AI audit, particularly for systems processing customer or financial information.
We generally recommend an audit after initial deployment and then periodically — at least annually — or whenever the AI system's scope changes significantly.
