Organizational changes for AI readiness start with leadership and culture. Developing AI literacy among top executives through bootcamps and strategy sessions is crucial. Fostering a culture of experimentation and continuous learning, such as allocating time for AI-related projects, is essential. Infrastructure changes include investing in robust data systems, providing access to high-performance computing resources, and implementing MLOps practices. Establishing strong data governance and security measures is vital. Organizations should also focus on continuous learning by creating AI skill matrices, personalized learning plans, and internal knowledge bases. Promoting cross-functional collaboration through AI Centers of Excellence and knowledge exchange programs can enhance AI innovation. Regular assessment of AI readiness and project ROI is necessary to measure success and iterate strategies.