Deceased donor kidney transplantation is often the only treatment for patients in end-stage renal disease and other life-threatening conditions. Kidney transplant processes can be fraught with uncertainty for both clinicians making critical decisions about whether to transplant an organ and the kidney recipients. There is potential for AI-informed software-based systems to support the activities of information-giving, decision-making, and waiting. This study analyses qualitative interviews to explore the user perspectives including those of both clinicians and transplant patients regarding this kind of decision making aid. Fourteen kidney transplant recipients and ten clinicians were recruited in a U.K transplant centre clinic. Data was collected via face-to-face and video-recorded semi-structured interviews and was analysed using a modified grounded-theory approach. Two patient themes were generated: ‘The murky waters of AI’ and ‘AI-driven tools could help transplant patients.’ The clinician themes included: ‘Understanding AI and the general perception around this technology,’ and ‘AI can be a friend to call on.’ The results highlight the possibility of an AI software programme to explain complex ideas to patients, by providing visual and graphical representations of AI-powered, individualised survival calculations or organ wait list times. The design and implementation of such tools must centre around trust in AI technology for clinicians and patients. The balance of staying on the waiting list or accepting an organ involves many complex factors but using AI-informed technology would be welcomed by patients and clinicians.