Artificial Intelligence (AI) System Development (SD) is an organisational activity characterised by diverse opinion and an industry approach with limited research reporting the outcome of proposed frameworks. This paper aims to analyse the outcome of a previously proposed framework in terms of people, process, data and technology (2PDT). We argue that organisations can improve their effectiveness by promoting an agile organisational culture, and better data management. The findings suggests that people and culture are critical in taking timely actions, and that use of quality data and development of ethical and explainable AI systems are required. In this paper, we evaluate the use of 2PDT by investigating nine case-studies and demonstrate its effectiveness in the formulation of research design, data collection and analysis. The findings highlight that the 2PDT offers a useful conceptual framework examining this phenomenon due to its characteristics of agility, rigour, dynamicity, and completeness.