Background: In previous work, eight Key Performance Indicators (KPIs) and an associated measurement framework were developed to provide a new perspective on nursing quality. Patient stories are one of four tools used to generate data to evidence the KPIs. To streamline data collection, the iMPAKT app was developed, which automatically transcribes the stories, with nurses manually analysing the stories to identify which KPIs are present. This process is time-consuming, and there is potential to automate it using Artificial Intelligence (AI). Aims: The aim of this study was to explore the potential of AI to capture patient experience through stories, applied directly to the iMPAKT app. Methods: In this qualitative study, data were collected in focus groups with nurses with either expertise in informatics or working with patients to identify criteria for an AI model capable of semantic search and text mining in collaboration with users. Data from the focus groups were analysed using reflexive thematic analysis. Results: Five themes and four principles were identified. Participants emphasised the importance of enabling all patients to participate in data collection, while ensuring the solution is user-friendly and considers patient needs. Although participants expressed trust in AI and a desire for a high-level of automation, they stressed the importance of maintaining a human-in-the-loop approach, involving both nurses and patients. Ethical considerations, such as anonymising stories and obtaining informed consent, were highlighted to safeguard patient safety and foster a psychologically safe work environment. Participants also discussed the potential for AI to identify disturbing incidents within stories, while recognising associated organisational responsibilities. Conclusions: The findings demonstrate a clear intention to develop an inclusive, AI-driven system that removes barriers to patient engagement and highlights the potential for nurses to contribute significantly to AI development. Ethical responsibilities surrounding AI development remain critical, as AI presents opportunities and challenges.