ABSTRACT
This study addresses the critical challenges and proposes a comprehensive blueprint for effectively integrating Generative Artificial Intelligence (GenAI) into business operations. GenAI has emerged as a transformative force, offering significant competitive advantages to early adopters. However, a substantial gap remains in understanding the technical, organisational, and governance challenges associated with GenAI implementation. This research utilises a mixed-methods approach, incorporating a systematic literature review and expert interviews to develop a blueprint for deploying GenAI in organisations. The blueprint emphasises the alignment of GenAI initiatives with business objectives, the establishment of responsible governance framework, and the development of a technical infrastructure. It also highlights the decision-making process regarding the use of low-code/no-code platforms versus pro-code environments, as well as the impact of GenAI on both customer and employee experiences. Additionally, the study underscores the importance of organisational readiness, change management, and continuous improvement to foster a culture that embraces AI-driven innovation. By providing detailed insights into both technical and organisational aspects, this research bridges existing gaps and offers practical guidance for companies seeking to leverage GenAI to enhance their competitive edge. The findings contribute to the broader discourse on GenAI integration, supporting the strategic and operational scalability of GenAI within various industries.
