A congestion prediction machine learning model is trained to generate, prior to placement, a prediction value indicative of a congestion level likely to result from placement and routing of a netlist based on features of the netlist. In response to the prediction value indicating the congestion level is greater than a threshold, a design tool determines an implementation-flow action and performs the implementation-flow action to generate implementation data that is suitable for making an integrated circuit.