Conceptual Model for Implementing Artificial Intelligence in Business Activities of an Enterprise

Abstract

In the era of global digital transformation, artificial intelligence technologies are becoming a key driver of efficiency and innovation in business, but their implementation requires a systematic approach and thorough planning. The aim of the study is to develop a conceptual model of the comprehensive process of implementing artificial intelligence in the business activities of an enterprise, which will ensure a systematic approach to digital transformation and maximise the business value of using AI technologies. The article analyses current trends in the implementation of AI in the corporate sector and finds that 85% of executives plan to make significant investments in these technologies. Statistical data on the use of AI by business function is examined, with the highest proportion of use observed in marketing and sales (72% of companies), product development and IT functions. The economic effect of implementing generative AI is analysed, which allows one in five companies to increase revenues by more than 6% in the area of supply chain optimisation. The main barriers to AI implementation were identified, including insufficient understanding of the mechanisms of generating business value, limited knowledge of integration, and a lack of a systematic vision of the role of AI in creating value. A conceptual model of a five-stage AI implementation process has been developed, which includes: strategic planning and readiness assessment; organisational preparation; pilot testing; scaling and cultural transformation; continuous development and performance monitoring. Critical success factors for AI implementation have been identified: top management support, organisational readiness for change, availability of qualified personnel, high data quality, and sufficient financial resources. A risk management system has been developed that covers technological, organisational, legal, and ethical aspects. It has been proven that companies that adhere to a systematic approach to AI integration are more successful than those that implement individual solutions in a fragmented manner. The proposed model is characterised by cyclicality and adaptability, which allows organisations to adjust their approach based on experience and changes in external conditions.