Older adults often experience increasing memory impairments, which may lead to conditions like dementia, impacting their overall wellbeing. Intelligent virtual agents (IVAs) potentially offer support to address these wellbeing challenges. Most wellbeing support interventions are based on user interviews, but this approach has not yet resulted in widespread implementations. This study therefore utilizes a theoretical foundation for the agent’s design by building the agent on the Social Production Function (SPF) theory. The aim of this qualitative study was to evaluate a prototype version of the virtual agent, “Jane”, with experienced healthcare professionals in focus groups. “Jane” was created as a lifelike human character displayed in a wall-mounted picture frame. The agent was designed to understand speech, and respond by voice, gesture, and multimedia. Eight use cases were derived from combining SPF theory and existing literature, programmed into the IVA dialogue manager, and demonstrated to a group of fourteen experienced healthcare professionals. The group was then split into two subgroups for two 1.5-hour focus group sessions. The discussions during these sessions were transcribed, and thematic analysis was conducted as qualitative data analysis technique. The consolidated criteria for reporting qualitative research (COREQ) checklist was applied to ensure the quality of the analysis. The thematic analysis identified the main themes as ‘Getting to Know Her’, ‘Lifetime Support’, ‘Spider in the Social Web’, ‘Versatile Personal Assistant’, ‘Big Sister’, ‘Jane, I Don’t Understand You’, and ‘Deceiving Jane’. These themes were related to the SPF instrumental goals and the resources needed to achieve them. Overall, the healthcare professionals viewed the virtual agent as a promising resource for supporting the wellbeing of older adults.