This paper introduces a decision-theory framework and a novel blended AI/statistical model for generating tailored, probabilistic seasonal monsoon onset forecasts. The system significantly improves forecast skill at longer lead times, enabling heterogeneous farmers to make more informed agricultural decisions under weather uncertainty, and was operationally deployed to 38 million Indian farmers in 2025.