Integration of Artificial Intelligence in Investment Decision-Making in Startups: The Case of SESAMm Company

Abstract

This study analyzes AI’s contribution to improving investment decisions in nascent companies, using SESAMm as a case study. AI is crucial for analyzing vast data and simulating human cognition, supporting complex strategic decisions. Integrating AI enhances operational efficiency, decision quality, and competitiveness, while reducing biases and increasing investor attractiveness. Despite challenges like data scarcity and integration difficulties, the study confirms these can be overcome through strategic investment in data, supportive frameworks, and human resource training.