The theme of the workshop is ‘AI-enabled Agile Product Innovation’. This is the first workshop instance on this theme, as the relevance and importance of the topic became evident in the past decade with the new technological shift: substantial developments in artificial intelligence (AI) technologies such as machine learning, deep learning, natural language processing, and generative AI and their widespread commercial applications. In startups, product innovation can mean coming up with new product ideas but can also be reinventing and improving existing products in big companies to stay ahead of trends, meet customer needs, and ensure business success. Agile methods provide a flexible and customer-focused framework for product innovation. Integrating AI into Agile practices can enhance product innovation efficiency, creativity, and responsiveness by automating routine tasks, making data-driven decisions, and ultimately delivering higher-quality products. However, AI-enabled Agile Product Innovation also brings challenges, and agile teams must agree on new methods and techniques. What things can we learn from researchers and practitioners in this context? How do you integrate AI into existing software systems and processes in startups? How can AI specialists and the rest of the Agile team communicate effectively? How can Agile teams manage data effectively, addressing issues like data privacy, security, and integrity to support the integration of AI?