AI Audit

Before companies put AI systems into productive use, they must ensure that these operate reliably, in compliance with regulations, and without risk. Our AI audits offer structured examinations and analyses that create transparency and provide clarity for action. We assess data quality, robustness, fairness, explainability, and compliance aspects according to the current state of the art and regulatory requirements.

Our audits provide gap analyses and practice-oriented recommendations so that you can identify and mitigate risks early. In this way, you lay the foundation for trustworthy AI solutions and sustainable governance.

Our Tests and Audits

AI Audit

Our AI Quality Testing Framework offers companies and organizations a practical, structured method for systematically testing the performance, security, and trustworthiness of AI and providing verifiable evidence of this. It answers key questions: Is the AI powerful and robust? What risks exist—for example, in terms of fairness, data protection, or security? And how can quality and compliance be reliably documented?

The framework is based on defined quality dimensions and a modular audit process with varying levels of scrutiny – from document-based initial reviews to reproducible technical validation. It is compatible with the requirements of the European AI Regulation (EU AI Act) and remains flexible for future regulatory developments.

A successful audit creates transparency, reduces risks, and strengthens trust among customers, partners, and regulatory authorities. At the same time, it professionalizes internal development and governance processes and offers a clear strategic competitive advantage.

Here you can find further information on the AI Quality Testing Framework.

Depending on requirements, we also conduct customized AI system tests that cover specific requirement profiles.

AI Compliance Audit

This audit evaluates the documentation of an AI system in conjunction with the associated quality management processes. The objective is to make a statement about the fulfillment of regulatory requirements with a focus on the EU Artificial Intelligence Act. Companies and organizations receive an audit report and corresponding recommendations for action. In doing so, we also take into account new regulatory requirements that are expected to come into effect.

AI Portfolio Risk Review

A comprehensive overview of the risks of your AI system portfolio. We analyze internal models, external tools, and dependencies. The service identifies risks and governance gaps. You receive a detailed evaluation and corresponding recommendations for action. The goal is to strengthen risk management and mitigate risks.