This paper introduces the concept of “AInnovation”, a fusion of artificial intelligence (AI) and innovation in the design of intelligent technical systems, and addresses a case study of robotic grippers. As Industry 4.0 evolves, the integration of AI becomes crucial for the development of adaptable and high-performance systems. “AInnova” uses AI techniques such as generative design, multi-objective optimization and machine learning to complete the design process. By exploring vast design spaces and rapidly evaluating alternatives, AI drives the creation of innovative and optimized solutions. When combined with the Theory of Inventive Problem Solving (TRIZ), AI further enhances problem solving and innovation. A case study demonstrates how “AInnovation” successfully applied these principles to the design of a gripper for handling delicate electronic components, resulting in a highly adaptable and efficient solution. The findings suggest that “AInnovation” provides a powerful framework for promoting smart projects, encouraging future innovations in various fields and also creating significant capabilities for robotic systems in modern industry.