AIAdoptionFramework

Strategy Leading organizations in the field of AI adopt ambitious strategic visions aimed at deeply integrating these technologies into their core operations and activities, in pursuit of sustainable growth and en­ hanced innovation capacity. These organizations are redesigning their operating models based on big data and advanced analytics, which contributes to improving operational efficiency, reducing costs, and enhancing service quality. They also focus on improving customer experience by analyzing behavior and needs to deliver personalized AI-powered services that boost loyalty and satisfaction. AI is em­ ployed as a strategic tool to create added value for stakeholders, respond flexibly to market changes, and strengthen competitive positioning. An AI strategy is crucial for institutions, serving as a roadmap to guide efforts toward maximizing the value derived from AI technologies, supporting strategic objectives, operational excellence, and com­ petitive advantage. A 2017 global survey revealed that 60% of executive leaders emphasized the critical importance of an AI strategy in enabling enterprise transformation, increasing financial returns, and im­ proving performance and productivity by deeply understanding enterprise data and using it to automate processes and enhance products. In contrast, the absence of a clear AI strategy may lead to experiments lacking strategic value and re­ duce the likelihood of successful AI adoption. 3. Directions Concept of AI Strategy AI Strategy is a long-term plan that outlines the entity’s vision for leveraging and utilizing AI to achieve its overarching goals and build a competitive advantage. It includes a set of guiding principles and measurable practices that support understanding AI initiatives, identifying added value, priorities, capabilities, and needs, as well as defining actions, timelines, and the governance structures necessary for implementation and successful AI adoption. AI Adoption Framework