A leading global financial institution initiated a digital transformation to modernize operations through AI/ML, Large Language Models (LLMs), and effective MLOps practices. The project established a unified MLOps platform for standardized model development, enabling CI/CD while ensuring governance and model reproducibility. This transformation utilized advanced AI algorithms for fraud detection and credit scoring, resulting in a 40% decrease in false positives and a 35% enhancement in risk assessment accuracy. The MLOps framework supported rapid model iterations and A/B testing, with automated systems monitoring model performance in real-time. Customer service improved significantly with intelligent chatbots managing over 60% of routine inquiries. The MLOps pipeline allowed for timely model updates based on customer interaction data, enhancing response accuracy. Their ML market analysis tools and robo-advisory services advanced wealth management with reliable performance through automated validation and deployment. In compliance and risk management, LLMs with automated governance workflows reduced document processing time by 75%. The MLOps infrastructure offered audit trails and model lineage tracking for regulatory compliance. This integrated AI approach streamlined deployment, increased reliability, and built a scalable foundation for future initiatives.