Co-Evolution of Interaction of Human Intelligence and Artificial Intelligence in the Innovation Process

Most of the business and society processes are under digital transformation. Organizations must change their mindset toward the augmented age and the use of artificial intelligence and generative AI, Gen AI-agents. Integrating generative artificial intelligence tools to support the innovation process is essential when aiming to improve the efficiency of start-up companies and more broadly in all innovation processes. In the innovation ecosystem data is a valuable currency that fuels the data-driven innovation process. Capturing data from various sources and executing it in businesses requires a human-oriented approach. The strategic challenge is applying a systematic approach using Gen AI agents during all innovation phases. This article introduces a co-evolution framework for human and artificial intelligence interaction in the innovation process in our rapidly evolving digital culture. Data for this research has been collected and framework tested in six AI-related projects by action research approach by comparing the various phases of the innovation process and how the innovation process could be deployed by using Gen AI. In new entrepreneurship and start-up enterprises, co-evolution starts from personal competence identification and team cohesion building. Artificial intelligence will support team operations during all phases of the innovation process of a start-up enterprise.