As the population ages, there is an increased demand for technologies that support ageing-in-place. AI-enabled home monitoring technologies can monitor health events like falls and alert carers to seek help. However, adoption of these technologies is often limited by older adults’ concerns regarding privacy and usability. Devices are also rarely designed in collaboration with key users from inception, further contributing to adoption challenges. This study explored older adults’ perspectives on AI-enabled health monitoring in the home, including perceived benefits, risks and concerns, and which health outcomes they prioritised. This study also examined older adults’ relationship with technology and health monitoring and identified preferred ways of interacting with these systems to inform human-centred design. Semi-structured interviews with independently living older adults were conducted and transcripts were analysed using Braun and Clarke’s reflexive thematic analysis approach. Five interconnected themes will be covered in this presentation: (1) What is important: outcomes and user experience; (2) Making sense of AI and technology: beliefs, fears and learning curves; (3): Not for me - until it is: autonomy, identity and thresholds; (4): Staying connected: community, relationships and human contact; (5): Boundaries of surveillance: privacy, security and trust. These themes establish practical design requirements for AI home monitoring that preserve privacy, support transparency, and align with older adults’ priorities and real-life context. This work addresses a key gap in user-informed design and provides actionable guidance for gerontechnology researchers, technology developers, and industry practitioners to create more acceptable systems for ageing-in-place.