SME-capable Innovations-Management-System as a Service: Artificial Intelligence by click

Abstract: The rapid advancement of Artificial Intelligence (AI) is reshaping the landscape of innovation management, especially regarding Small and Medium-Sized Enterprises (SMEs). This paper explores the integration of AI technologies into SMEs' innovation processes, demonstrating how AI can automate complex tasks and enhance operational efficiency and innovation outcomes. Aligned with the structured innovation management processes of DIN EN ISO 56002, encompassing five critical stages— [1] Idea Generation & Evaluation, [2] Concept Development, [3] Development, [4] Prototype Building & Testing, and [5] Production & Market Launch—this study introduces the developed service framework "eskalator.io." By leveraging Large Language Models (LLMs) and APIs, this innovative approach streamlines data analysis and project evaluation, facilitating a nuanced analysis of customer feedback, technical specifications, and market research data to optimize decision-making.The study addresses challenges in adopting AI technologies, such as security and privacy concerns, emphasizing the importance of ongoing developments for secure and ethical AI integration within SMEs' innovation ecosystems. It aims to contribute to the broader discourse on AI's transformative role in enhancing SMEs' innovation capabilities while proposing future research directions. Common barriers to AI adoption and effective innovation management in SMEs, including lack of technical expertise, administrative burdens, and skepticism about tangible benefits, underscore the need for tailored, user-friendly solutions to encourage broader adoption.

Keywords: Artificial Intelligence, SME, Innovation-management, awarded System, autopilot, Data Analysis, Workflow Automation, Administrative Effort

DOI: 10.54941/ahfe1005483

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