The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis and reasoning ability, and structure and relevance of the responses. A multidisciplinary approach is adopted, drawing from multiple fields such as accounting, education, management, social work and law, to evaluate the responses generated by the AI to higher education assignments. This paper offers insights into the strengths and limitations of ChatGPT responses and identifies implications for the design and implementation of higher education assessment tasks.