As banks accelerate their use of AI, the ability to make faster, smarter decisions in real time is becoming a decisive competitive advantage. But how can predictive models be used to automate credit assessments and detect fraud without compromising transparency, governance, or regulatory compliance? This session explores how banks can combine advanced analytics, machine learning, and real-time data to improve decision-making across the customer journey. What does it take to balance speed and precision with accountability and control? And how can financial institutions ensure that AI-driven decisions remain explainable, auditable, and aligned with both business goals and regulatory expectations?