Business and IT alignment has always been critical to organisational success and has been the subject of much research. However, the emergence of Artificial Intelligence (AI) as a transformative technology and the complexity of modern organisations require a reassessment of alignment strategies from a sociotechnical systems (STS) perspective. The STS approach emphasises the joint optimisation of social and technical aspects within organisations. AI is itself a subject of BITA, but can also be a tool to support BITA in an organisation. Examining BITA from a Sociotechnical Systems perspective highlights the importance of incorporating human factors, organisational processes, and technology into a unified whole. AI is a complex sociotechnical phenomenon deeply intertwined with the design, operation, and support of organisational processes. Analysing AI’s effects on business-IT alignment shows its potential to enhance data-driven decision-making, automate tasks, personalise customer experiences, and influence IT infrastructure. The Sociotechnical Systems approach is essential for achieving and maintaining an effective level of BITA in the domain of AI applications. It emphasises human-centred AI design, organisational learning, and adaptation. It also helps address the challenges associated with AI adoption, such as misunderstandings, resistance to change, ethical issues, and the need for specialised skills. This report concludes with recommendations to foster communication, invest in training, establish ethical guidelines, and develop flexible IT infrastructures. Future directions include extensive studies for the creation of new theoretical frameworks for business and technology alignment in AI-driven organisations.