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?

Topics of interest include but are not limited to:

• Issues and challenges of adopting AI technologies, tools, and practices for new products or business models in standalone and internal startups.
• Development of novel AI tools to support creative and innovative works in startups.
• Communication and collaboration of AI specialists and Agile teams effectively.
• Management of data, addressing issues like data privacy, security, and integrity to support the integration of AI by startup teams.
• Adaptation of AI-based methods, tools, and practices for new product development or business models.
• Experience in exploring and exploiting AI for existing and new ways of software product innovation in standalone and internal startups.
• Analysis of Failure and Success factors of start-ups.
• Impact of new technological trends on software start-ups.
• Case studies regarding start-ups in various domains, e.g., hardware, health-tech, cleantech, etc., their software-based products, services, and operations.
• Underlying theories/principles for startups.
• Agile approaches for software development in startups.
• Continuous experimentation, Lean startup or Design Thinking in startups.
• Analyses, challenges, and opportunities in Startup Ecosystems or funding startups.
• Curriculum development or Teaching for AI in new product development or software startup.
• Software Startup in developing countries