Human Intelligence and Artificial Intelligence Interaction in Start-Up Enterprise

Abstract: Innovation capability is significant in the business environment, especially in start-up enterprises. This article emphasizes the growing complexity of technology and the need to manage the innovation process effectively. Integrating generative artificial intelligence tools using agent technology is essential for enhancing the efficiency of building start-up companies and innovation processes more broadly. Artificial intelligence (AI) supports team operations throughout all phases of the innovation process in start-up enterprises. The co-evolution of personal competence identification and team cohesion building is a crucial aspect of new entrepreneurship and start-up development. Data is recognized as a valuable currency in the innovation ecosystem, driving the data-driven innovation process. Human-oriented approach is necessary for capturing data from various sources and executing it in businesses. The strategic challenge is to apply a systematic approach using generative AI agents across all innovation phases. Overall, the abstract outlines the importance of human factors, team cohesion, artificial intelligence, and data-driven approaches in the innovation process, proposing a co-evolution framework for human and artificial intelligence interaction. The case study company analyzed is Husqtec Corp., a start-up company concentrating on situation and operational management. Use case is nature disaster management.

Keywords: Start-up Entrepreneurship, Situation management, Human Systems Integration, Human, AI Interaction, Innovation Process

DOI: 10.54941/ahfe1005817

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