This thesis demonstrates that effective AI integration requires workflow models grounded in actual CI practices rather than technology-centric approaches.

Employing Design Science Research (DSR) methodology with an interpretive stance, this research examined CI practices across Swiss organisations through 12 semi-structured interviews and two focus group validations. The research documented workflows, time allocations, tool usage patterns and decision-making processes that characterize contemporary CI practice. The research produced a dual-state descriptive model distinguishing current from future AI-augmented CI practices. It identifies workflow components where AI enhances rather than disrupts work while preserving essential human capabilities in strategic interpretation. The model bridges the gap between technological potential and organisational reality, providing guidance for workflow-aligned AI implementation.