Artificial Intelligence (AI) strategies for organizational innovation, growth, and productivity: a multi-case study approach

Organizations increasingly integrate AI strategies to drive innovation, growth, and productivity across industries.This study employs a multiple-case study methodology to analyze AI's impact across 11 organizations, examining adoption levels, strategic implementation, and business performance outcomes.It presents a comparative analysis of pre-and post-AI adoption financial performance, highlighting AI's role in enhancing decision-making, streamlining operations, and optimizing resource allocation.Additionally, the study identifies industry-specific best practices for successful AI implementation, emphasizing leadership commitment, data governance, and workforce upskilling as critical factors.The research also evaluates long-term sustainability challenges, including ethical concerns, regulatory constraints, and integration costs.Findings suggest that organizations with well-structured AI strategies achieve higher productivity, competitive advantages, and scalable innovation, though success depends on industry alignment and organizational readiness.By offering insights into AI-driven transformation, this study contributes to the discourse on AI's strategic role in fostering business resilience and sustainable growth.