You are a data scientist at an e-commerce company using Amazon SageMaker to develop and deploy a machine learning model for predicting customer churn. The initial model trained on historical data performs well. To ensure the model continues to perform optimally in production and adapts to new incoming data, which strategy should you implement to establish a robust, automated workflow for continuous model training and deployment?