Artificial Intelligence (AI) has emerged as a transformative enabler across strategic management, qualitative research, and crowdsourced operational systems. However, adoption is shaped by human judgement, organisational processes, and socio-technical factors. Existing literature often examines AI applications in isolation, overlooking integrative approaches that balance technical capability with human and ethical oversight. This study systematically synthesises evidence to examine AI’s impact across multiple domains, identifying patterns, limitations, and opportunities, and proposes a human-centred framework for responsible deployment. A systematic integrative review was conducted, encompassing peer-reviewed journals, technical reports, and policy documents. Data extraction focused on AI capabilities, human-AI interaction, governance, methodological rigour, and socio-technical integration. Thematic analysis identified recurring patterns and gaps across domains. This study reveals that AI-driven decision-support systems enhance predictive analytics, scenario planning, and resource allocation, yet require managerial expertise, governance, and interpretive oversight to translate insi
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