To address the concern for the ethical and societal implications of artificial intelligence systems, a possible solution is to have AI systems be audited for harm by investigators. We at the Frankfurt Big Data Lab at the Goethe University of Frankfurt, together with a team of international experts defined a novel holistic and analytic processes to assess Ethical AI, called Z-Inspection. Z-Inspection is a general inspection process for Ethical AI which can be applied to a variety of domains such as business, healthcare, public sector, etc. To the best of our knowledge, Z-Inspection is the first process that combines a holistic and analytic approach to assess Ethical AI in practice. Our assessment takes into account the "Framework for Trustworthy AI" and the seven key requirements that AI systems should meet in order to be deemed trustworthy, defined by the independent High-Level Expert Group of Artificial Intelligence [1], set by the European Commission, and also confirmed by a recent report of The Organization for Economic Co-operation and Development (OECD).