Document Type : Original Article

Authors

• ramin feizi
• Parham soufizadeh
• Kaveh Yazdifard

Department of Research and Development Intellia Agency Tehran, Iran

Abstract

Abstract - As artificial intelligence (AI) increasingly becomes central to digital transformation, businesses across industries are recognizing its transformative potential for enhancing efficiency, accuracy, and innovation. This article examines a structured framework for AI integration that empowers businesses to manage the challenges associated with AI implementation, emphasizing both technical and "soft" competencies crucial for successful implementation. Through a phased approach, including Discovery, Roadmap Design, Implementation, and Evaluation, this review provides actionable insights to align AI solutions with business objectives, optimize resources, and overcome organizational barriers. The framework highlights how AI-driven tools, such as predictive analytics, data mining, and automated decision-making systems, enhance strategic capabilities, streamline operations, and improve customer engagement. To ensure long-term success, this study underscores the significance of cultivating an environment that promotes innovation and teamwork. AI adoption requires not only robust data infrastructure and technical expertise but also strategic foresight, cross-functional collaboration, and a commitment to iterative learning. By integrating technical and soft knowledge, organizations can overcome challenges in AI adoption, such as resistance to change and uncertain ROI, by fostering a supportive environment that enables AI-driven growth. This article provides decision-makers with a thorough guide, equipping them with the insight needed to maximize AI’s potential for long-term competitive success in an evolving digital world.

Keywords

• Keywords - Artificial Intelligence
• Digital Transformation
• Business Strategy
• Operational Efficiency

Main Subjects

• Artificial Intelligence, Robotics, Cognitive Computing